Rental car management system that can guide safe and environmentally friendly driving

Abstract

To provide a rental car management system that can induce safe driving and environmentally friendly driving. [Solution] The present invention relates to a rental car management system, and more specifically, to a rental car management system that analyzes the correlation between the operating status of each rental car and fuel consumption, and automatically calculates and charges fuel costs according to the rental car user's vehicle operation using the analyzed correlation, thereby encouraging rental car users to drive in a fuel-efficient manner that can reduce fuel costs and reduce disputes and inconveniences regarding rental car fuel costs, thereby encouraging safe and environmentally friendly driving.

Description

[Technical Field]

[0001] The present invention relates to a rental car management system, and more particularly to a rental car management system that analyzes the correlation between the operating status of each rental car and fuel consumption, and automatically calculates and charges fuel costs according to the vehicle operation of the rental car user using the analyzed correlation, thereby encouraging rental car users to drive in a fuel-efficient manner that can reduce fuel costs, thereby reducing disputes and inconveniences regarding rental car fuel costs and encouraging safe and environmentally friendly driving. [Background technology]

[0002] In tourist destinations, rental cars are commonly used for the convenience of tourists, whereby a vehicle is rented, used for a certain period of time, and then returned. Rental cars are essential, especially on islands such as Jeju Island and tourist destinations with inconvenient public transportation. However, driving a rental car for a limited period of time can lead to reckless driving by the renter, resulting in frequent speeding and sudden deceleration, which increases the risk of accidents and significantly shortens the vehicle's lifespan. Furthermore, fuel costs for existing rental cars are calculated using the vehicle's fuel gauge, or the vehicle is rented with a full tank of fuel and returned with a full tank. However, calculating fuel costs using a fuel gauge is inaccurate, and even if the vehicle is returned with a full tank of fuel, rental users must only refuel near the return location, where the unit price of refueling is high, causing significant inconvenience and dissatisfaction for rental car users. Therefore, in recent years, vehicle sharing systems have adopted a method in which fuel is refueled using a fuel card provided by the operator and fuel costs are automatically charged according to the vehicle's mileage. However, while this has increased user convenience, the accuracy of billing based solely on distance has decreased, resulting in higher fuel costs than if the vehicle were to be refueled directly, resulting in increased user losses. Meanwhile, recently, there has been active development of connected cars that combine automobiles with IT technology and are capable of connecting to the Internet. These cars can wirelessly connect to other vehicles or transportation and communication infrastructure to provide hazard warnings, real-time navigation, remote vehicle control and management services, and are even evolving into technologies that provide email, multimedia streaming, and social networking services (SNS). Therefore, when a connected car such as that described in the following patent document is applied to a rental car, vehicle operation and fuel costs can be effectively managed. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Korean Patent Publication No. 10-2020-0027338 Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention has been made to solve such problems, and its purpose is to provide a rental car management system that analyzes the correlation between the operating status of each rental car and fuel consumption, and automatically calculates and charges fuel costs according to the rental car user's vehicle operation using the analyzed correlation, thereby encouraging rental car users to drive in a fuel-efficient manner that can reduce fuel costs, and reducing disputes and inconveniences regarding rental car fuel costs. [Means for solving the problem]

[0005] In order to achieve the above object, the present invention is realized by an embodiment having the following configuration.

[0006] According to one embodiment of the present invention, the rental car management system of the present invention includes a rental car that a user rents for a certain period of time and then returns, a user terminal that searches for rental cars registered in the system, selects the rental car to be used, and receives information about the rental car, an administrator terminal that inputs information about the rental car and receives and displays management information about the rental car, and a management server that communicates with the user terminal, administrator terminal, and rental cars, and generates and manages reservation information and management information about the rental car, and is characterized in that the management server collects rental car operation information, automatically calculates fuel costs based on the rental car operation information, and bills the user.

[0007] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a fuel cost calculation unit that receives and stores rental car operation information, automatically calculates fuel costs according to the rental car operation information, and bills the user for the calculated fuel costs; the fuel cost calculation unit includes a correlation analysis module that analyzes the correlation between the operation status and fuel consumption of each rental car, an operation information receiving module that receives operation information for the rental period of the rental car for which fuel costs are to be billed, a fuel cost calculation module that inputs the operation information into the correlation analyzed by the correlation analysis module to calculate fuel costs, and an automatic fuel cost billing module that automatically bills the user for the calculated fuel costs when the rental car is returned; and the correlation analysis module includes an operation information loading module that reads rental car start information, speed information, and acceleration / deceleration information, a refueling information loading module that reads refueling information for the rental car, and a correlation derivation module that derives the correlation between the operation information and fuel consumption for each rental car.

[0008] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a safe driving reflection unit that calculates points according to the safe driving information of the rental car user and reflects the points in fuel costs, and the safe driving reflection unit includes a driving time calculation module that calculates the operating time of the rental car, an idling time deduction module that subtracts the idling time of the rental car vehicle from the operating time, an acceleration / deceleration time deduction module that subtracts sudden acceleration and sudden deceleration time from the operating time, an overspeed time deduction module that subtracts excessive speed time from the operating time, a weighting module that applies weights to the time deducted by the acceleration / deceleration time deduction module and the excessive speed time deduction module according to the degree of sudden acceleration, sudden deceleration, and excessive speed, a driving point calculation module that calculates points according to the operating time calculated by the operating time calculation module, idling time deduction module, acceleration / deceleration time deduction module, excessive speed deduction module, and weighting module, and a fuel cost reflection module that automatically reflects the calculated driving points in fuel costs.

[0009] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a fuel cost discount unit that applies discounts to fuel costs according to the unit price of refueling set by the rental car user, and the fuel cost discount unit includes a refueling unit price loading module that reads refueling unit price information from the refueling information of the user, a unit price information collection module that collects fuel unit price information for the area where the rental car is used at the time the user refuels, a standard unit price setting module that sets the average value of the fuel unit prices collected by the unit price information collection module as the standard unit price, a reduction rate calculation module that calculates the fuel cost reduction rate based on the difference between the user's refueling unit price and the standard unit price, a refueling point calculation module that calculates refueling points by multiplying the reduction rate by the amount of refueling set by the user, and an automatic fuel cost deduction module that automatically deducts the calculated refueling points from the fuel cost paid by the user.

[0010] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a fine calculation unit that automatically reflects the rental car user's traffic law violation information and charges the fine in advance, and the fine calculation unit includes a location information loading module that reads the rental car's location information, a speed information loading module that reads speed information, a traffic enforcement location collection module that collects vehicle enforcement location information, a violation determination module that determines whether or not traffic laws such as excessive speed, no parking or stopping, no cutting in, or no use of bus lanes have been violated at the enforcement location, a fine calculation module that calculates the fine during the rental car use period depending on whether or not there has been a violation of traffic laws, an automatic fine claim module that adds the fine to the user's fuel costs and charges it, and a fine refund module that reflects whether or not there has actually been enforcement and automatically refunds the fine that has been claimed if there has been no enforcement.

[0011] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a price formulation unit that predicts rental car usage rates and formulates rental car rental prices in accordance with the rental car usage rates, and the price formulation unit includes a correlation analysis unit that analyzes the correlation between the rental car usage rates and variables that affect the rental car usage rates, and a price calculation unit that predicts the expected usage rates based on the correlation analyzed by the correlation analysis unit and calculates rental car rental prices.

[0012] According to another embodiment of the present invention, in the rental car management system of the present invention, the correlation analysis unit includes a variable information storage module that stores variable information that affects the utilization rate, a utilization rate information storage module that stores the ratio of the number of rental cars in use to the total number of rental cars, a correlation derivation module that derives the correlation between the variable information and the utilization rate information, and a correlation update module that updates the correlation at regular intervals. The variable information storage module includes a vehicle type information storage module that stores information about the type of vehicle, a time information storage module that stores information about the day of the week and month when the vehicle is used, a season information storage module that stores information about the season when the vehicle is used, a weather information storage module that stores information about weather conditions, and an inflow rate storage module that stores information about the inflow rate of tourists entering the area where the rental car is used. The inflow rate storage module is characterized in that it stores the ratio of the number of people actually entering to the number of people that can be transported for transportation means such as airplanes, ships, and trains that arrive at tourist destinations where rental cars are used.

[0013] According to another embodiment of the present invention, in the rental car management system of the present invention, the price calculation unit includes a selection information receiving module that receives information on the user selecting a rental car; a variable information loading module that reads variables for predicting rental car usage rates based on the user selection information; an expected usage rate calculation module that predicts rental car usage rates by substituting the read variables into the correlation derived by the correlation analysis unit; a price standard setting module that sets a price standard according to the usage rate; and a price calculation module that calculates a price based on the predicted usage rate and the set price standard and provides it to the user, and the variable information loading module is characterized in that it reads reservation rate information for vehicle type, time of year, season, weather, and transportation means and applies it to the correlation.

[0014] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a price adjustment unit that adjusts the price calculated by the price calculation unit according to the remaining period of the rental car usage period selected by the user, and the price adjustment unit includes a period index setting module that sets the degree of price adjustment according to the remaining period, a weight setting module that sets a weight for the degree of price adjustment, an adjustment index calculation module that calculates a final adjustment index that adjusts the price by applying the weight to the period index, and a price change module that changes the price calculated by the price calculation unit based on the calculated adjustment index, and the weight setting module includes a period-specific setting module that sets weights according to the day of the week and month of the period in which the rental car will be used, a season-specific setting module that sets weights according to the season, and a reservation rate-specific setting module that sets weights according to the reservation rate for the rental car.

[0015] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a company-specific provider unit that categorizes and displays prices by rental car company, and the company-specific provider unit includes a company-specific price display module that displays the company-specific prices calculated by the price calculation unit on a user terminal, a rating information loading module that reads rating information for rental cars from each company, a review analysis module that analyzes review information for rental cars from each company, a preference index calculation module that calculates the degree of preference for each company based on the ratings and reviews, a preference standard setting module that sets the degree of price adjustment based on the degree of preference, and a price reflection module that reflects the degree of price adjustment based on the standards set by the preference standard setting module in the price calculated by the price calculation unit.

[0016] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a cancellation resale unit that allows a rental car reservation canceled by a user to be resold, and the cancellation resale unit includes a cancellation request receiving module that receives cancellation request information from the user, a sales feasibility determination module that determines whether the rental car reservation requested for cancellation can be resold, a sales recommendation module that recommends resale to the user before cancellation on the condition that the cancellation fee be discounted if resale is possible, and a sales posting module that resells the rental car reservation at a discounted price if the user approves the resale, and the sales feasibility determination module includes a predicted usage rate receiving module that receives usage rate information predicted by the price calculation unit for the rental car reservation period, a reservation rate receiving module that receives current reservation rate information, a reservation progress rate calculation module that calculates the ratio of the current reservation rate to the predicted usage rate, a period reflection module that corrects the reservation progress rate to reflect the period remaining until the reservation period, and a feasibility determination module that compares the corrected reservation progress rate with a reference value to determine whether the reservation can be sold.

[0017] According to another embodiment of the present invention, in the rental car management system of the present invention, the management server includes a network diagnostic unit that diagnoses communication abnormalities with the rental car by transmitting a confirmation signal to the rental car at regular time intervals, and the network diagnostic unit includes a failure detection unit that determines that a communication failure has occurred when a response to the confirmation signal is not received at a certain frequency or more, an abnormality diagnosis unit that determines that network performance has deteriorated and notifies the same when the frequency of non-reception of a response signal is sustained within a certain range even if it is not at a level that would be detected as a failure, and an emergency notification unit that detects and notifies an emergency abnormality in the network even before a failure or performance deterioration is diagnosed by the failure detection unit or the abnormality diagnosis unit, and the failure detection unit includes a confirmation signal transmission module that transmits a confirmation signal to the rental car at regular time intervals, and a response signal receiving module that receives a response signal to the confirmation signal. the abnormality diagnosis unit includes a danger range recognition module that recognizes that the frequency of non-reception of the response signal has reached a danger range below the frequency at which a failure is detected, a duration count calculation module that calculates the number of times the danger range continues, a reference value comparison module that compares the duration count with a reference value, and an inspection notification instruction module that determines that performance has deteriorated and notifies the same if the duration count exceeds the reference value; and the emergency notification unit includes a no-response information receiving module that receives no-response information, a consecutive count calculation module that calculates the number of consecutive no-responses if the no-response is continuous, and an emergency abnormality sending module that determines that an emergency abnormality has occurred and notifies the same if the consecutive count exceeds a predetermined value. [Effects of the Invention]

[0018] The present invention can achieve the following effects by combining and using the configurations and usage relationships described below with the present embodiment.

[0019] The present invention analyzes the correlation between the operating status of each rental car and fuel consumption, and automatically calculates and charges fuel costs according to the rental car user's vehicle operation using the analyzed correlation, thereby encouraging rental car users to drive in a fuel-efficient manner that can reduce fuel costs, and has the effect of reducing disputes and inconveniences regarding rental car fuel costs. [Brief explanation of the drawings]

[0020] [Figure 1] 1 is a configuration diagram of a rental car management system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram showing the configuration of the management server of FIG. 1. [Figure 3] 3 is a block diagram showing the configuration of a vehicle information collection unit in FIG. 2. FIG. [Figure 4] FIG. 3 is a block diagram showing the configuration of a fuel cost calculation unit in FIG. 2. [Figure 5] 3 is a block diagram showing the configuration of a safe driving reflection unit in FIG. 2. FIG. [Figure 6] 3 is a block diagram showing the configuration of a fuel cost discount unit in FIG. 2. FIG. [Figure 7] FIG. 3 is a block diagram showing the configuration of a penalty fee calculation unit in FIG. 2. [Figure 8] FIG. 3 is a block diagram showing the configuration of a price development unit in FIG. 2. [Figure 9] FIG. 9 is a block diagram showing the configuration of a correlation analysis unit in FIG. 8. [Figure 10] FIG. 9 is a block diagram showing the configuration of a price calculation unit in FIG. 8. [Figure 11] FIG. 3 is a block diagram showing the configuration of a price adjustment unit in FIG. 2. [Figure 12] 3 is a block diagram showing the configuration of a provider-specific providing unit in FIG. 2. FIG. [Figure 13] 3 is a block diagram showing the configuration of the cancellation and resale unit of FIG. 2. FIG. [Figure 14] FIG. 3 is a block diagram showing the configuration of the shuttle operation unit of FIG. 2. [Figure 15] 3 is a block diagram showing the configuration of a vehicle alignment instruction unit in FIG. 2. FIG. [Figure 16] 3 is a block diagram showing the configuration of a tourist route provider unit in FIG. 2. FIG. [Figure 17] 3 is a block diagram showing the configuration of a store information providing unit in FIG. 2. FIG. [Figure 18] FIG. 3 is a block diagram showing the configuration of a network diagnostic unit in FIG. 2. DETAILED DESCRIPTION OF THE INVENTION

[0021] Hereinafter, preferred embodiments of a rental car management system capable of inducing safe driving and environmentally friendly driving according to the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, if a detailed description of a known function or configuration is deemed to unnecessarily obscure the gist of the present invention, such detailed description will be omitted. Throughout the specification, when a part "includes" a certain element, this does not mean that it excludes other elements but that it may further include other elements, unless otherwise specified. Furthermore, terms such as "... unit" and "... module" used in the specification refer to a unit that processes at least one function or operation, which may be realized by hardware, software, or a combination of hardware and software.

[0022] 1 to 18, a rental car management system capable of encouraging safe and environmentally friendly driving according to one embodiment of the present invention will be described. The rental car management system includes a rental car 3 that a user rents, uses, and returns for a certain period of time; a user terminal 7 that searches for rental cars 3 registered in the system, selects the rental car 3 to be used, and receives information about the rental car 3; an administrator terminal 5 that inputs information about the rental car 3, receives and displays management information about the rental car 3; and a management server 1 that communicates with the user terminal 7, administrator terminal 5, and rental car 3, and generates and manages reservation information and management information about the rental car 3. In particular, the rental car management system collects vehicle operation information in real time and calculates and bills fuel costs according to the vehicle's operating status, thereby encouraging rental car users to drive safely and in a manner that improves fuel efficiency. The rental car management system also rationally bills rental car fuel costs, thereby reducing disputes over fuel costs. The rental car management system also grasps the direct operating status of the rental car 3 and awards points according to the degree of safe driving, and the awarded points are automatically reflected in fuel costs, further increasing motivation for safe driving.

[0023] The management server 1 is connected to the rental car 3, the administrator terminal 5, and the user terminal 7 via wired or wireless communication, enters into a rental contract for the rental car 3, and manages and provides various information about the rental car 3. The management server 1 collects vehicle operation information to calculate fuel costs, points for safe driving, and fines for traffic violations. It also determines the rental car 3 usage price rationally based on big data. The management server 1 also categorizes and provides determined prices by rental car company and adjusts prices according to the reservation time for the rental car 3, thereby increasing reservation rates and enabling efficient operation. When a rental car 3 reservation is canceled, the management server 1 resells the rental car 3 product, ensuring the reliability of the management system and reducing user losses due to cancellations. The management server 1 also collects information on the means of transportation (such as airplanes, ships, and trains) by which rental car reservation holders arrive at tourist destinations, determining the arrival time of the reservation holders. This allows the operation of shuttle vehicles transporting rental car reservation holders, as well as vehicle lineups and dispatches, enabling efficient management of rental car rentals and handovers. The rental car management system can analyze the travel route of the rental car 3 to recommend tourist routes that are frequently visited by users, or can use this to recommend and provide the locations of mobile shops to businesses selling tourist products, etc., and can monitor communication between the rental car 3 and the management server 1 to detect abnormalities and maintain smooth communication. To this end, the management server 1 can include a vehicle information collection unit 10, a fuel cost calculation unit 11, a safe driving reflection unit 12, a fuel cost discount unit 13, a penalty calculation unit 14, a price formulation unit 15, a price adjustment unit 16, a business-specific provision unit 17, a cancellation and resale unit 18, a shuttle operation unit 19, a vehicle queuing instruction unit 20, a tourist route provision unit 21, a store information provision unit 22, and a network diagnosis unit 23.

[0024] The vehicle information collecting unit 10 is configured to collect information measured by the rental car 3, and can collect and store information measured through various sensors of the rental car 3 in real time. The vehicle information collecting unit 10 can include a start information collecting module 101 that collects start information of the rental car 3, a speed information collecting module 102 that collects speed information, an acceleration / deceleration information collecting module 103 that collects information related to acceleration and deceleration, a location information collecting module 104 that collects location information, and a refueling information collecting module 105 that collects refueling information related to the timing of refueling, the amount of refueling, the refueling unit price, etc.

[0025] The fuel cost calculation unit 11 is configured to calculate fuel costs according to the operation of the rental car 3 and bill the calculated fuel cost to the user when returning the rental car 3. Conventionally, fuel costs for rental cars 3 are paid by calculating the fuel cost using the vehicle's fuel gauge or by renting a vehicle with a full tank of fuel and returning it with a full tank. However, as previously described in the background art, disputes and inconveniences regarding fuel costs for rental cars 3 have frequently arisen. Therefore, the present system allows refueling to be performed using a fuel card attached to the rental car 3, and the fuel cost is automatically calculated according to the vehicle's operating conditions. The fuel cost is calculated by analyzing the correlation between the operating conditions and fuel consumption, thereby providing a convenient and reasonable calculation of fuel costs. This also encourages rental car users to drive in a fuel-efficient manner that saves on fuel costs, thereby ensuring safe and environmentally friendly driving of the vehicle. For this purpose, the fuel cost calculation unit 11 may include a correlation analysis module 111 , a driving information receiving module 112 , a fuel cost calculation module 113 , and an automatic fuel cost billing module 114 .

[0026] The correlation analysis module 111 is configured to analyze the correlation between the driving status and fuel consumption of each rental car 3, and forms big data by collecting driving status and refueling information of the rental cars 3 collected for a certain period of time, and analyzes the correlation between the driving status and fuel consumption by a machine learning method using the big data. To this end, the correlation analysis module 111 may include a driving information loading module 111a, a refueling information loading module 111b, and a correlation derivation module 111c.

[0027] The operation information loading module 111a is configured to read operation information of each rental car 3, and reads starting information, speed information, acceleration / deceleration information, position information, and the like that affect the fuel consumption of the rental car 3.

[0028] The refueling information loading module 111b is configured to read the refueling information of each rental car 3, and is capable of calculating the amount of fuel consumed during the operation of the rental car 3 based on the loaded refueling information.

[0029] The correlation derivation module 111c is configured to derive the correlation between operation information and fuel consumption, and derives the correlation with fuel consumption by mechanical learning using input variables such as rental car operation time, operation distance, speed, acceleration / deceleration, etc.

[0030] The operation information receiving module 112 is configured to receive operation information for each rental car 3, and receives start, speed, acceleration / deceleration, and position information collected during the use of the rental car 3 to calculate operation information.

[0031] The fuel cost calculation module 113 is configured to calculate the fuel cost for using the rental car 3, and inputs the operation information received by the operation information receiving module 112 into the correlation derived by the correlation analysis module 111 to calculate the amount of fuel consumed, and calculates the fuel cost using the amount of fuel consumed.

[0032] The automatic fuel cost billing module 114 is configured to automatically bill the rental car user for the fuel cost calculated by the fuel cost calculation module 113, and preferably, the fuel cost can be billed via the user terminal 7, and the return can be completed only when the billed fuel cost is settled.

[0033] The safe driving reflection unit 12 is configured to award points to rental car users based on their level of safe driving and reflect the points in fuel cost calculations. If a user drives safely and minimizes damage to the vehicle, the points are awarded to be used as fuel costs, encouraging the rental car user to drive safely. The safe driving reflection unit 12 awards points based on the user's driving time, excludes idling time, sudden acceleration, sudden deceleration, and excessive speeding from the driving time, and assigns weights to the excluded time based on the degree of sudden acceleration, sudden deceleration, and excessive speeding to exclude the time, thereby calculating accurate points based on the level of safe driving. To this end, the safe driving reflection unit 12 includes a driving time calculation module 121, an idling time deduction module 122, an acceleration / deceleration time deduction module 123, an excessive speed time deduction module 124, a weighting module 125, a driving point calculation module 126, and a fuel cost reflection module 127.

[0034] The travel time calculation module 121 is configured to calculate the travel time of the rental car user, and calculates the travel time using information such as speed and location collected from the rental car vehicle.

[0035] The idling time subtraction module 122 is configured to calculate the idling time of the rental car vehicle and subtract it from the operating time, and the idling time can be calculated using the vehicle start information, speed information, etc.

[0036] The acceleration / deceleration time subtraction module 123 is configured to calculate the time of sudden acceleration and deceleration of the rental car vehicle and exclude it from the operating time, and can exclude from the operating time if acceleration or deceleration occurs above a certain level using the vehicle's acceleration and deceleration information.

[0037] The overspeed time deduction module 124 is configured to subtract the overspeed time of the rental car from the travel time, and can deduct the time from the travel time when the rental car travels at a speed that exceeds the standard speed of the road to a certain extent. Therefore, the overspeed time deduction module 124 can store information on the standard speed corresponding to each road and determine whether the speed is excessive using the vehicle's position and speed information.

[0038] The weighting module 125 is configured to apply weights according to the degree of sudden acceleration, sudden deceleration, and excessive speed when subtracting travel time according to sudden acceleration, sudden deceleration, and excessive speed, and to perform deduction. In the case of sudden acceleration and sudden deceleration, the degree of sudden acceleration and sudden deceleration can be set into multiple sections, and weights can be applied to each section. In the case of excessive speed, weights can be applied to sections divided according to the degree of exceeding the reference speed. Therefore, the weighting module 125 can apply a higher weight to sudden acceleration, sudden deceleration, and excessive speed, so that the travel time can be deducted more significantly.

[0039] The driving point calculation module 126 is configured to calculate points according to the driving of the rental car user, and calculates the total driving time by excluding the time corresponding to idling, sudden acceleration, sudden deceleration, and excessive speed from the total driving time, and applying weights according to the degree of sudden acceleration, sudden deceleration, and excessive speed to subtract the time, and calculates points for the total driving time thus subtracted.

[0040] The fuel cost reflecting module 127 is configured to reflect the calculated points in the fuel cost, and can deduct the calculated points from the fuel cost.

[0041] The fuel cost discount unit 13 is configured to discount fuel costs according to the rental car user's refueling cost via a refueling card provided in the rental car 3, and to invoice the discounted fuel cost calculated by the fuel cost calculation unit 15. The present invention automatically calculates and invoices fuel costs according to the operating status of the rental car, and refueling is paid for using the refueling card provided in the rental car 3. However, in such cases, the rental car user may refuel without checking the refueling cost at the gas station, which may increase the fuel cost burden on the rental car operator. Therefore, the present invention allows convenient refueling via the operator's refueling card, discounts fuel costs according to the refueling cost of the rental car user, and encourages the rental car user to find a gas station with a low refueling cost, thereby reducing the fuel cost burden. For this purpose, the fuel cost discount unit 13 may include a refueling unit price loading module 131, a unit price information collection module 132, a standard unit price setting module 133, a reduction rate calculation module 134, a refueling point calculation module 135, and an automatic fuel cost deduction module 136.

[0042] The refueling unit price loading module 131 is configured to read refueling unit price information for the rental car user refueling, and can receive and read unit price information for the gas station where the user refueled from an external server.

[0043] The unit price information collection module 132 is configured to collect refueling unit price information for gas stations in the area where the rental car is used, and collects the unit price information on the refueling date from an external server that manages refueling unit price information.

[0044] The standard unit price setting module 133 is configured to set a standard unit price that serves as the basis for fuel cost discounts using the fuel unit price information collected by the unit price information collection module 132, and sets the standard unit price to the average value of the fuel unit prices in the area on the day of fueling.

[0045] The reduction rate calculation module 134 is configured to calculate the rate at which the rental car user has reduced fuel costs, and calculates the reduction rate by dividing the difference between the user's fuel cost loaded by the fuel cost unit loading module 131 and the standard unit price by the standard unit price.

[0046] The refueling point calculation module 135 is configured to calculate points based on the rental car user's refueling cost reduction rate, and calculates the discounted refueling points by multiplying the reduction rate calculated by the reduction rate calculation module 134 by the amount of refueling used by the user.

[0047] The automatic fuel cost deduction module 136 is configured to automatically reflect and deduct the calculated fuel points from the fuel cost, and when the automatic fuel cost billing module 114 bills for fuel costs, the fuel points are automatically deducted and billed.

[0048] The fine calculation unit 14 is configured to calculate and charge fines in advance for violations of traffic laws by rental car users, and when a traffic law is violated at a location where a traffic law violation enforcement camera is installed, the fine is charged in advance and received, and when the enforcement information reaches the management server, the received fine is immediately paid. In the past, when a rental car user violates a traffic law and is caught by a traffic law enforcement camera, the rental car user was found later and the fine was charged separately and paid, but there was a problem that the fine was not properly imposed if the rental car user's information was registered incorrectly or if the rental car user's information was changed. Therefore, the fine calculation unit 14 determines whether or not a traffic violation has occurred using the operation information of the rental car 3 and receives the fine in advance, thereby enabling the imposition of the fine for the traffic violation of the rental car 3 to be carried out promptly and without omission, and if it is later determined that the traffic violation has not occurred, the fine that was received in advance can be automatically returned immediately, thereby preventing the unjustified claim of the fine. To this end, the fine calculation unit 14 can include a location information loading module 141, a speed information loading module 142, a traffic violation location collection module 143, a violation determination module 144, a fine calculation module 145, an automatic fine claim module 146, and a fine refund module 147.

[0049] The location information loading module 141 is configured to read the location information of the rental car, and uses the location information to determine the route the rental car is taking.

[0050] The speed information loading module 142 is configured to read the speed information of the rental car, and can determine whether the rental car is exceeding the speed limit and whether the rental car is parked or stopped at a specific location.

[0051] The enforcement location collection module 143 is configured to collect location information of cameras that enforce traffic law violations, and can be configured to collect location information of cameras that enforce speeding, parking violations, bus-only lanes, no-cutting rules, etc.

[0052] The violation determination module 144 is configured to determine whether the rental car 3 violates traffic laws or not, and determines whether the rental car 3 exceeds the specified speed at a location photographed by a speed camera, whether it enters a bus-only lane at a location photographed by a camera that monitors bus lanes, whether it parks for longer than the parking time at a location photographed by a camera that monitors parking and stopping, and whether it cuts in at a location photographed by a camera that monitors cutting in.

[0053] The fine calculation module 145 is configured to calculate a fine depending on whether or not a traffic law violation has occurred as determined by the violation determination module 144, and calculates a total of fines according to the type of traffic law violation.

[0054] The automatic fine claim module 146 is configured to claim the calculated fine from the rental car user, and can be configured to claim the fine together with fuel costs via the user terminal 7 when the rental car is returned.

[0055] The fine refund module 147 is configured to automatically refund the fine if it is found that a rental car user who has paid the fine in advance has not been caught, and the fine can be automatically refunded via the user's account.

[0056] The price formulation unit 15 is configured to formulate a rental price for the rental car 3, and can predict a usage rate of the rental car 3 and formulate a rental price according to the predicted usage rate, such that the higher the predicted usage rate, the higher the price, and the lower the predicted usage rate, the lower the price. To this end, the price formulation unit 15 can include a correlation analysis unit 151 that analyzes the correlation between the rental car usage rate and a variable that influences the rental car usage rate, and a price calculation unit 152 that predicts an expected usage rate based on the correlation analyzed by the correlation analysis unit 151 and calculates a price.

[0057] The correlation analysis unit 151 is configured to analyze correlations that can be used to determine rental prices and derive correlations that can predict rental car usage rates through big data analysis. Thus, the correlation analysis unit 151 may collect information on variables that affect rental car usage rates over a certain period of time and rental car usage rates, derive correlations between them, and allow the price calculation unit 152 to determine rental car prices using the derived correlations. For example, the correlation analysis unit 151 may collect information on variables and usage rates on a daily basis to derive correlations, and may update the correlations according to the collected information each day to improve the accuracy of the correlations. To this end, the correlation analysis unit 151 may include a variable information storage module 151a, a usage rate information storage module 151b, a correlation derivation module 151c, and a correlation update module 151d.

[0058] The variable information storage module 151a is configured to collect and store information on variables that affect the rental car usage rate, and may include a vehicle type information storage module 151a-1 that stores the type of vehicle, a season information storage module 151a-2 that stores information on seasons such as days of the week and months, a season information storage module 151a-3 that stores information on seasons such as peak season, off-season, semi-peak season, and consecutive holidays, a weather information storage module 151a-4 that stores weather information such as temperature, precipitation, wind speed, and humidity, and an inflow rate storage module 151a-5 that stores information on the inflow rate of tourists and the like entering an area where the rental car 3 is used. Here, the inflow rate stored by the inflow rate storage module 151a-5 is set as the ratio of the number of people actually entering the area to the total number of people that can be transported by each means of transportation entering the area, such as airplanes, ships, and trains, and the information is collected and stored.

[0059] The usage rate information storage module 151b is configured to collect and store information regarding the usage rate of rental cars 3, and the ratio of the number of rental cars 3 actually used to the total number of available rental cars 3 is set as the usage rate, and is collected and stored. For example, the usage rate can be calculated and stored on a daily basis.

[0060] The correlation derivation module 151c is configured to derive a correlation between the variables stored by the variable information storage module 151a and the rental car 3 usage rate stored by the usage rate information storage module 151b, and derives the correlation using big data collected for a certain period of time for the variables and usage rates. The correlation derivation module 151c may analyze the correlation using various machine learning methods such as an artificial neural network. In addition, the correlation derivation module 151c may derive a correlation for each vehicle type, and may set input variable values ​​according to the day of the week, month, and season, and input weather information such as precipitation, temperature, humidity, and wind speed, as well as inflow rates, to derive a correlation with the rental car usage rate.

[0061] The correlation update module 151d is configured to update the correlation derived by the correlation derivation module 151c, and continuously corrects the correlation using variables and usage data collected after the correlation is derived. Therefore, the correlation update module 151d can improve the accuracy of the correlation over time.

[0062] The price calculation unit 152 is configured to calculate and determine the rental price for the rental car 3. The price calculation unit 152 predicts the usage rate of the rental car 3 at a specific time point using the correlation derived by the correlation analysis unit 151 and calculates the price according to the predicted usage rate. Therefore, since the higher the predicted rental car usage rate at a specific time point, the greater the demand for rental cars, the higher the predicted rental car usage rate. The price calculation unit 152 may also calculate and determine the price on a daily basis, or may calculate and provide the price on a daily basis according to the rental period selected by the user. To this end, the price calculation unit 152 may include a selection information receiving module 152a, a variable information loading module 152b, an expected usage rate calculation module 152c, a price standard setting module 152d, and a price calculation module 152e.

[0063] The selection information receiving module 152a is configured to receive information selected via the user terminal 7, and receives information such as the type and rental period of the rental car 3 desired by the user.

[0064] The variable information loading module 152b is configured to read input variables for predicting rental car usage rates and calculating prices, and reads variables for the vehicle type and rental period selected by the user. Thus, the variable information loading module 152b predicts the usage rate of the rental car 3 for the vehicle type and rental period selected by the user, and determines the price according to the predicted usage rate. To this end, the variable information loading module 152b reads information about the vehicle type selected by the user through the vehicle type information loading module 152b-1, reads time information such as the day of the week and month for the period during which the user intends to use the rental car 3 through the time information loading module 152b-2, reads information about seasons such as peak seasons through the season information loading module 152b-3, reads weather forecast information such as precipitation and temperature through the weather information loading module 152b-4, and reads reservation rate information for transportation means such as airplanes, ships, and trains arriving in the area where the rental car 3 will be used through the reservation rate information loading module 152b-5. At this time, the weather information loading module 152b-4 can be configured to read weather forecast information from an external weather forecasting system, and the reservation rate information loading module 152b-5 can read reservation rate information for the period during which the rental car 3 is desired to be used via a server of an operating entity that manages reservations for airplanes, ships, trains, etc.

[0065] The predicted usage rate calculation module 152c is configured to predict a predicted usage rate of the rental car 3 for a period during which the user desires to use the rental car 3, and predicts the usage rate using the correlation derived by the correlation analysis unit 151. Therefore, the predicted usage rate calculation module 152c inputs the variables loaded by the variable information loading module 152b into the correlation derived by the correlation analysis unit 151, thereby calculating a predicted usage rate of the rental car 3 for the usage period of the rental car 3.

[0066] The price standard setting module 152d is configured to set standards for determining prices according to the usage rate of rental cars 3, and can divide the usage rate of rental cars 3 into multiple sections and set prices for each section, and can set prices according to usage rate for each vehicle type.

[0067] The price calculation module 152e is configured to calculate and provide a price for the rental car 3 desired by the user, and to provide a price for the vehicle model and period desired by the user. The price calculation module 152e can determine a price according to the standard set by the price standard setting module 152d in accordance with the expected usage rate calculated by the expected usage rate calculation module 152c, and can calculate and display a price for each day of the desired usage period.

[0068] The price adjustment unit 16 adjusts the price depending on when a user reserves a rental car and adjusts the price calculated by the price calculation unit 152. The price adjustment unit 16 can lower the price the further in advance a rental car is reserved, and can also adjust the degree of price adjustment depending on the time, season, and reservation rate at the time the rental car is to be used. Therefore, the price adjustment unit 16 adjusts the price depending on the level of demand at the time the rental car is used, thereby making it possible to more rationally and accurately determine the price depending on the time of reservation. To this end, the price adjustment unit 16 can include a period index setting module 161, a weight setting module 162, an adjustment index calculation module 163, and a price change module 164.

[0069] The period index setting module 161 is configured to set the degree to which the price is adjusted depending on the remaining period of the rental car, and can be set so that the longer the remaining period, the lower the price will be.

[0070] The weight setting module 162 is configured to set a weight for the period index set by the period index setting module 161, and can adjust the degree of price adjustment depending on the time, season, and reservation rate of the rental car 3 to be used. Therefore, the weight setting module 162 may include a period-based setting module 162a, a season-based setting module 162b, and a reservation rate-based setting module 162c. The period-based setting module 162a may set the degree of price adjustment depending on the month and day of the week when the rental car is used. The season-based setting module 162b may set the degree of price adjustment depending on the season, such as a busy season, when the rental car is used. The reservation rate-based setting module 162c may set the degree of price adjustment depending on the rental car reservation rate. Here, the period-based setting module 162a may adjust the degree of price adjustment depending on days of the week, such as Friday, Saturday, and Sunday. The season-based setting module 162b may adjust the degree of price adjustment depending on the busy season. The reservation rate-based setting module 162c may adjust the degree of price adjustment depending on the rental car reservation rate. In addition, the reservation rate setting module 162c may set a weight of the price adjustment level based on the ratio of the current reservation rate to the rental car usage rate predicted at the time when the rental car will be used.

[0071] The adjustment index calculation module 163 is configured to set the degree to which the rental car price will be finally adjusted, and the final adjustment index can be set by setting the weight set by the weight setting module 162 to the period index set by the period index setting module 161.

[0072] The price change module 164 is configured to change the price calculated by the price calculation unit 152 and display it on the user terminal 7, and changes the price by reflecting the final adjustment index calculated by the adjustment index calculation module 163.

[0073] The provider-specific provision unit 17 is configured to classify and provide information such as the price of rental cars 3 by rental car provider, and the price of rental cars 3 can also be calculated and provided separately for each provider. In the present system, multiple rental car providers can be registered and used, and rental cars 3 owned by each provider can be registered and a usage contract for each rental car 3 can be concluded to use the rental cars 3. Therefore, the provider-specific provision unit 17 can separately display and provide rental car 3 information for each rental car provider, separately analyze the correlation with the rental car usage rate of each rental car provider, and separately calculate and provide a price accordingly. In addition, the provider-specific provision unit 17 can analyze ratings and reviews of rental cars for each provider and provide prices that reflect the preference for each provider. Therefore, the vendor-specific provision unit 17 determines a higher price for a vendor with a high usage rate under the same conditions for each vendor, thereby increasing the rental car price of a vendor that is popular among users, thereby enabling rational price determination, and also allows a vendor that is more preferred by users to receive a higher price, thereby motivating the vendor to manage the quality of rental cars and thereby improving the vendor's profitability. To this end, the vendor-specific provision unit 17 may include a vendor-specific price display module 171, a rating information loading module 172, a review analysis module 173, a preference index calculation module 174, a preference standard setting module 175, and a price reflection module 176.

[0074] The price display module 171 for each company is configured to classify the rental price for each rental car company and display it on the user terminal 7, and calculates the price for each company through the price calculation unit and price adjustment unit 16 and displays it for each company.

[0075] The rating information loading module 172 is configured to read rating information for each rental car company, and can read rating information for the rental car entered through the user terminal 7 after using the rental car 3. The system can register a rating for the rental car 3 used by the user through the user terminal 7, and can store information related to this for each company and read it through the rating information loading module 172.

[0076] The review analysis module 173 is configured to analyze rental car usage reviews for each rental car company, and can analyze positive and negative preferences for the rental car company. The review analysis module 173 can analyze reviews created through the user terminal 7 and stored in the management server 1, like ratings, and can also collect review information about rental car companies from various external media to analyze preferences.

[0077] The preference index calculation module 174 is configured to calculate a preference index indicating the degree of preference for a car rental company, and the preference index may be calculated based on the rating information loaded by the rating point information loading module 172 and the preference information based on the reviews analyzed by the review analysis module 173. As an example, the preference index calculation module 174 may calculate the preference index by adding up the average rating and a score based on the preference of the reviews.

[0078] The preference standard setting module 175 is configured to set a price adjustment level according to a preference index, and can determine a price adjustment level according to each section by dividing the preference index calculated by the preference index calculation module 174 by section. In this case, the preference standard setting module 175 can set a standard such that the higher the preference for a car rental company, the higher the price will be.

[0079] The price reflection module 176 is configured to reflect the preference index in the price, and adjusts the price according to the preference index in accordance with the criteria set by the preference criteria setting module 175 .

[0080] The cancellation and resale unit 18 is configured to resell a canceled rental car reservation when a user cancels the rental car reservation, and to resell the canceled rental car reservation at a discounted price rather than immediately canceling it. Frequent cancellations of rental car reservations made through the system can undermine the rental car company's trust in the system, and the user can suffer losses from having to pay a cancellation fee. Therefore, when a cancellation request is made through the user terminal 7, the cancellation and resale unit 18 first determines whether cancellation is possible. If cancellation is possible, the cancellation and resale unit 18 requests the user to resell the rental car reservation on the condition that the cancellation fee be discounted. If the user approves the resale, the rental car reservation is resold at a discounted price. As a result, the cancellation and resale unit 18 minimizes rental car reservation cancellations from the perspective of the system operator, thereby maintaining trust, discounting cancellation fees for users who cancel reservations to reduce losses due to cancellations, and increasing the sales rate of canceled reservations through discounted rental car reservations. For this purpose, the cancellation and resale unit 18 may include a cancellation request receiving module 181 , a sale availability determining module 182 , a sales recommendation module 183 , and a sales posting module 184 .

[0081] The cancellation request receiving module 181 is configured to receive cancellation information for a rental car reservation from a user, and receives cancellation request information transmitted from the user terminal 7 .

[0082] The sales possibility determination module 182 is configured to determine whether a rental car reservation that has been requested to be canceled can be canceled, and determines whether the rental car reservation can be resold. The sales possibility determination module 182 determines whether the rental car can be sold by taking into account the rental car reservation rate at the time of rental car use, the remaining period, etc., and determines whether the resold possibility can be met by taking into account whether the predicted usage rate can be met when the remaining period until the rental car is used. To this end, the sales possibility determination module 182 may include a predicted usage rate receiving module 182a, a reservation rate receiving module 182b, a reservation progress rate calculation module 182c, a period reflection module 182d, and a resale possibility determination module 182e.

[0083] The predicted usage rate receiving module 182a is configured to receive predicted usage rate information for the time of use of the rental car for which cancellation has been requested, and receives predicted usage rate information calculated by the predicted usage rate calculating module 152c.

[0084] The reservation rate receiving module 182b is configured to receive current reservation rate information for the rental car at the time of use of the rental car for which cancellation is requested, and receives information on the ratio of the number of currently reserved rental cars to the total number of rental cars owned.

[0085] The reservation progress rate calculation module 182c is configured to calculate the reservation progress rate for the rental car for which cancellation has been requested as of the time of use, and calculates the reservation progress rate by dividing the reservation rate received by the reservation rate receiving module 182b by the predicted usage rate received by the predicted usage rate receiving module 182a. Therefore, the reservation progress rate calculation module 182c can grasp how much of the reservation is currently in progress compared to the predicted usage rate.

[0086] The period reflection module 182d is configured to reflect the period remaining until the time of rental car use in the calculation of the reservation progress rate, and corrects the reservation progress rate calculated by the reservation progress rate calculation module 182c to a certain rate taking into account the period remaining from the time of cancellation request until the time of rental car use.

[0087] The availability determination module 182e is configured to determine whether or not a rental car for which a cancellation request has been made can be resold, and determines whether or not the rental car can be resold using reservation progress rate information that takes into account the remaining period by the period reflection module 182d. The availability determination module 182e sets a certain reference value for determining whether or not the resale is possible, and can determine that the resale is possible if the reservation progress rate corrected by the period reflection module 182d exceeds the reference value. For example, it can determine that the resale is possible if the expected reservation progress rate based on the rental car use date exceeds 90%.

[0088] The sales recommendation module 183 is configured to encourage a user who cancels a rental car reservation to resell the car if the sales possibility determination module 182 determines that the car rental reservation can be resold, and also provides information that a cancellation fee will be reduced if the car rental reservation is resold.

[0089] The sales posting module 184 is configured to allow the rental car reservation to be resold if the canceled user agrees to the resale of the rental car reservation, and to post the rental car at a discounted price for sale.

[0090] The shuttle operation unit 19 is configured to manage the operation of shuttle vehicles that transport tourists from transportation means arriving at tourist destinations, such as airplanes, ships, and trains, to rental locations for rental cars 3, and allocates and operates shuttle vehicles according to the arrival time of customers who have reserved rental cars 3. To this end, the shuttle operation unit 19 may include a reservation information loading module 191, an inflow information collection module 192, a reservation matching module 193, an arrival time identification module 194, an arrival group generation module 195, a group member calculation module 196, a required vehicle allocation module 197, a change information receiving module 198, and a vehicle allocation change module 199.

[0091] The reservation information loading module 191 is configured to read rental car 3 reservation information, and is configured to read reservation information stored in the management server 1, and can be configured to read one day's worth of reservation information, for example.

[0092] The inflow information collection module 192 is configured to read information on transportation means arriving at a tourist destination, and can read reservation information for transportation means such as airplanes, ships, and trains, and can read reservation information for one day like reservation information. Also, the inflow information collection module 192 may input information on transportation means reserved by a rental car 3 reservation holder and confirm it.

[0093] The reservation matching module 193 is configured to match the information of the person reserving the rental car 3 with the reservation information of the transportation means, and can compare the reservation information of the rental car 3 with the reservation information of the transportation means, and can also compare the reservation information of the transportation means input by the person reserving the rental car 3.

[0094] The arrival time determination module 194 is configured to determine the arrival time of the person reserving the rental car 3, and determines the arrival time of the transportation means by using reservation information of the transportation means matched with the person reserving the rental car 3.

[0095] The arrival group generation module 195 is configured to generate groups according to the arrival times of people who have reserved a rental car 3, and can generate groups in fixed time units. For example, the arrival group generation module 195 can group people into groups of people who have reserved a car every 5 minutes, but the time unit is not limited to this and can be changed according to the number of people who have reserved a car.

[0096] The group member calculation module 196 is configured to calculate the number of members in the generated group, and can calculate the total number of members in the group based on the member information entered by the person reserving the rental car 3 at the time of reservation.

[0097] The required vehicle allocation module 197 is configured to allocate shuttle vehicles according to the number of people in each group, and shuttle vehicles of the size and number appropriate for the number of people are allocated so that all the reservation persons of the same group can be transported at the same time, thereby enabling rental car reservation persons to immediately move to the rental location without waiting for a shuttle vehicle. Also, the rental car company does not need to operate shuttle vehicles unnecessarily even if there are no reservation persons, or operate shuttle vehicles that are excessively large compared to the number of reservation persons, thereby enabling efficient operation of shuttle vehicles.

[0098] The change information receiving module 198 is configured to receive change information of the arrival of transportation means, and can receive change information such as cancellation or delay of transportation means.

[0099] The vehicle allocation change module 199 is configured to change the group creation and shuttle vehicle allocation for rental car 3 reservation holders when the arrival information of transportation means changes, and can quickly reflect changes in the arrival information of airplanes, ships, trains, etc. in the allocation of shuttle vehicles.

[0100] The vehicle lining up instruction unit 20 is configured to generate instructions for lining up vehicles at the rental car 3 rental location, and can transmit the instruction information to the administrator terminal 5. The vehicle lining up instruction unit 20 can initially align vehicles based on transportation reservation information of the rental car 3 reservation holder, and can cause the vehicle to leave the parking lot at a temporary location based on information about the actual arrival of the reservation holder by transportation, thereby enabling the rental car agency or rental car renter to easily find the location of the rental car. The vehicle lining up instruction unit 20 can also receive information that the rental car 3 reservation holder will board a shuttle vehicle, and can move the rental car 3 to a shuttle vehicle drop-off location based on the boarding information of the shuttle vehicle, and hand over the rental car 3 to the reservation holder upon arrival. To this end, the vehicle lining up instruction unit 20 can include a reservation information collection module 201, a vehicle lining up setting module 202, an arrival information receiving module 203, a vehicle departure instruction module 204, a boarding information receiving module 205, and a vehicle dispatch module 206.

[0101] The reservation information collection module 201 is configured to collect reservation information for the rental car 3, and can also collect reservation information for the transportation means that the person reserving the rental car 3 will use to arrive at the tourist spot.

[0102] The vehicle arrangement setting module 202 is configured to set a primary arrangement of rental car 3 vehicles at the rental car 3 rental location, and can arrange vehicles for rental on the day based on information on arrival of transportation means of rental car 3 reservation holders. The vehicle arrangement setting module 202 can arrange rental car 3 vehicles stored in a separate storage location by moving them to the rental location, and preferably, can arrange vehicles based on rental time for rental car 3 and arrange vehicles based on arrival time of transportation means for a certain range of rental time.

[0103] The arrival information receiving module 203 is configured to receive information on the actual arrival of the transportation means on which the person reserving the rental car 3 will arrive, and can receive information on the arrival of an airplane, ship, train, etc.

[0104] The vehicle departure instruction module 204 is configured to cause a vehicle to leave the garage according to the actual arrival time of the transportation means, and since the actual arrival time of the transportation means may differ from the reservation information, the vehicle can be delivered to a temporary location where the vehicle will be delivered according to the actual arrival time, thereby enabling smooth vehicle delivery. Rental vehicles can be delivered to a temporary location, and the rental car company can search for and deliver the vehicle that has been delivered, or the person who made the rental car reservation can search for and rent it themselves. The vehicle departure instruction module 204 positions the vehicles at the temporary location in the order of arrival of the rental car company's transportation means, allowing the rental car company or the person who made the rental car reservation to easily find the location of the vehicle and deliver it, thereby reducing congestion for vehicle departure and improving the convenience of delivery.

[0105] The boarding information receiving module 205 is configured to receive information that a person who has made a reservation for rental car 3 is boarding a shuttle vehicle, and the boarding of the person who has made the reservation can be recognized by recognizing the person on the shuttle vehicle or by inputting the information separately, and the information can be received by the management server 1.

[0106] The vehicle dispatch module 206 is configured to dispatch a vehicle based on the shuttle vehicle boarding information of the rental car 3 reservation holder, and can move the rental car 3 vehicle parked at the temporary location to the shuttle vehicle arrival location while the shuttle vehicle is moving. Therefore, the vehicle dispatch module 206 can deliver the vehicle as soon as the rental car 3 reservation holder arrives at the rental location, thereby further improving the convenience of vehicle delivery. Furthermore, the rental car company can sequentially move and deliver the rental car 3 to the reservation holders who have boarded the same shuttle vehicle, thereby reducing congestion at the rental location and making the delivery of the rental car more efficient. Furthermore, because the rental car 3 has already been sequentially released to the temporary location based on the transportation means arrival information, it can also be easily moved to the shuttle vehicle arrival location.

[0107] The tourist route providing unit 21 analyzes the travel route of the rental car user and provides the rental car user with frequently visited tourist routes, analyzing the travel characteristics based on the rental car user's characteristics and environmental information. The tourist route providing unit 21 can collect information on users who enter an area where the rental car is used for a certain period of time and stay information to perform big data analysis, and analyze the correlation of travel routes based on the rental car user's personal characteristics and environmental information to provide the rental car user with frequently visited tourist routes. To this end, the tourist route providing unit 21 can include a user information collecting module 211, a weather information collecting module 212, a season information collecting module 213, a stay information collecting module 214, a correlation analysis module 215, a recommended route providing module 217, and a store information display module 217.

[0108] The user information collection module 211 is configured to collect personal information of the rental car user, and can collect information such as age, sex, and nationality.

[0109] The weather information collection module 212 is configured to collect weather information on a daily basis, and can collect weather information such as temperature, precipitation, wind speed, and humidity.

[0110] The time information collection module 213 is configured to collect information relating to the time of rental car use, and can collect information such as the day of the week and month.

[0111] The staying information collection module 214 is configured to collect information on the staying location of rental car users, and can analyze the rental car's route to determine that the user has stayed at a location where the user has stayed for a certain period of time or more, and collect the staying information.

[0112] The correlation analysis module 215 is configured to analyze the correlation between the rental car user's personal characteristic information, time information, weather information, and stay information, and it places information on the rental car user's gender, age, and nationality, weather information on temperature, precipitation, wind speed, and humidity, and time information such as month and day of the week at the input end, and places the probability of visiting each area of ​​the tourist destination at the output end, and analyzes the correlation between the input end and the output end using machine learning, etc.

[0113] The recommended route providing module 216 is configured to provide a recommended route by collecting locations frequently visited by rental car users using the correlation analyzed by the correlation analysis module 215. Information on the age, sex, and nationality of the user who intends to use the rental car, weather information at the time of using the rental car, and time information such as the day of the week and month are input into the correlation to calculate locations where the user is likely to visit, and then collects these to provide a recommended route. Therefore, the recommended route providing module 216 can easily find and visit tourist spots frequently visited by other users without a separate search.

[0114] The store information display module 217 is configured to display information on recommended store locations provided by the store information providing unit 22 on the recommended route, and the locations can be displayed via the rental car navigation system or the user terminal 7. The store information providing unit 22 provides locations with high purchasing and preference levels for specific products according to the rental car user's travel route to tour product providers so that they can set up mobile stores. The store information display module 217 displays location information of recommended mobile stores on the rental car user's recommended route, making it easier for the rental car user to purchase tour products, increasing satisfaction with the purchase, and increasing sales profits for the tour product provider. This will be described in detail later.

[0115] The store information providing unit 22 is configured to analyze product purchase information according to the travel route of the rental car user and provide recommended locations of mobile stores to tourism product providers. The store information providing unit 22 analyzes product purchase information by location in the area where the rental car is used and provides a location with a high preference for a specific group of products, where the user frequently purchases them, as a recommended location of the mobile store. In addition, the store information providing unit 22 can recommend the location of a mobile store on the travel route recommended to the rental car user, thereby maximizing the sales rate of a specific group of products at the mobile store. To this end, the store information providing unit 22 can include a purchase analysis module 221 and a location recommendation module 222.

[0116] The purchase analysis module 221 is configured to analyze purchase information by location in the area where the rental car is used, and analyzes information on purchases of specific products by location. The purchase analysis module 221 can collect card payment information, cash receipt information, etc. for product purchases from an external server and analyze purchase information, and calculate a purchase index according to the purchase rate of specific products by location for each product group and the preference for specific products purchased at each location. To this end, the purchase analysis module 221 can include a location information input module 221a, a purchase information analysis module 221b, a preference information analysis module 221c, and a purchase index calculation module 221d.

[0117] The location information input module 221a is configured to input location information of each area where a rental car can move, and divides the area into a certain area or jurisdiction unit.

[0118] The purchase information analysis module 221b is configured to analyze purchase information for products at each location, and analyzes information such as card payments and cash receipts for each product group according to product type, thereby analyzing sales volume by location.

[0119] The preference information analysis module 221c is configured to analyze preference information for each location-based product group, and analyzes online review information, etc. for products purchased at each location and analyzes preferences through sentiment analysis, etc.

[0120] The purchasing index calculation information module 221d is configured to calculate a purchasing index for a product group by location, and calculates a purchasing index indicating a purchasing rate and preference by analyzing purchasing information and preference information. As an example, the purchasing index calculation module 221d may calculate the ratio of sales volume by location to the total sales volume of a specific product group in an area where rental cars are used, and then calculate a purchasing index by adding up the preference level for each location. Therefore, a location with a higher purchasing index can be determined to be an area with a higher purchasing probability and high preference for a specific product group. Such locations can be recommended as locations for mobile stores, providing useful information that can increase sales rates to sellers of local tourism products.

[0121] The location recommendation module 222 is configured to recommend a mobile store location taking into account the rental car user's recommended route and recommends the location of the mobile store using the purchase index calculated by the purchase analysis module 221. The tourist route providing unit 21 provides the rental car user with recommended routes that the user frequently visits, and various routes are provided depending on the user's personal characteristics. Therefore, the location recommendation module 222 reads recommended routes through the tourist route providing unit 21, compares the location-specific purchase index for each route, and recommends a mobile store at a location with the highest purchase probability taking into account the number of times each location is recommended and the purchase index. To this end, the location recommendation module 222 may include a product information input module 222a, a recommended route loading module 222b, a purchase index comparison module 222c, and a recommended location providing module 222d.

[0122] The product information input module 222a is configured to input information on a product group for which recommendations are to be received regarding the location of the mobile store, and allows the type of product according to the product group analyzed by the purchase analysis module 221 to be input.

[0123] The recommended route loading module 222b is configured to read recommended route information for rental car users provided by the tourist route providing unit 21, and is configured to read recommended route information provided to users who have reserved a rental car for a certain unit period, for example, one day.

[0124] The purchasing index comparison module 222c is configured to compare the purchasing index for each location of each route loaded by the recommended route loading module 222b, and compares the purchasing index taking into consideration all of the multiple recommended routes during a unit period. In other words, the purchasing index comparison module 222c calculates the number of times each location is recommended by the recommended route, multiplies the calculated number of times by the purchasing index for each location, and compares the multiplied values ​​by location.

[0125] The recommended location providing module 222d is configured to recommend the location of the mobile store based on the comparison results by the purchasing index comparison module 222c, and recommends a location with a high purchasing index for a specific product group and a high probability of user visit as the location of the mobile store, thereby maximizing the product sales rate.

[0126] The network diagnostic unit 23 manages the network status between the rental car 3 and the management server 1. It transmits a signal to the rental car 3 at regular intervals to check for a response and diagnoses the network status based on the presence or absence of a response. In particular, the network diagnostic unit 23 determines a communication failure if a response signal is not received a certain number of times within a certain unit of time. Even if a failure is not determined, if the failure continues within a certain range below the failure threshold, the network diagnostic unit 23 notifies the user of a degradation in network performance so that an inspection can be performed. Furthermore, if the failure continues for a certain period of time, the network diagnostic unit 23 determines that the network has been completely disconnected and notifies the user of the failure even before a failure is diagnosed, so that an appropriate countermeasure can be taken. To this end, the network diagnostic unit 23 may include a failure detection unit 231, an abnormality diagnosis unit 232, and an emergency notification unit 233.

[0127] The fault detection unit 231 is configured to detect a network fault and diagnoses a network fault when the number of times a response signal is not received within a certain unit time exceeds a reference value. To this end, the fault detection unit 231 may include a confirmation signal transmission module 231a, a response signal reception module 231b, a non-reception frequency calculation module 231c, and a fault determination module 231d.

[0128] The confirmation signal transmission module 231a is configured to transmit a signal to each rental car 3 to confirm the network status, and transmits the confirmation signal at regular time intervals.

[0129] The response signal receiving module 231b is configured to receive a response signal to the confirmation signal sent by the confirmation signal sending module 231a, and the rental car 3 automatically sends a response signal to the confirmation signal so that the management server 1 can confirm whether the network is operating normally.

[0130] The non-received frequency calculation module 231c is configured to calculate the frequency at which a response signal is not received within a fixed unit time interval, and calculates the non-received frequency as the number of times a response signal is not received relative to the number of confirmation signals transmitted within a fixed unit time.

[0131] The failure determination module 231d is configured to determine that a network failure has occurred when the non-reception frequency calculated by the non-reception frequency calculation module 231c exceeds a reference value, and notifies the failure so that a prompt response can be taken. In addition, the failure determination module 231d does not determine a failure when a response signal is not received once, but determines that a network failure has occurred when the non-reception frequency for a certain unit time exceeds a reference value, thereby preventing inefficiencies in inspections and the like caused by determining that a failure has occurred when a response signal is not received due to a temporary abnormality.

[0132] The abnormality diagnosis unit 232 is configured to determine that network performance has deteriorated and notify the deterioration when the frequency of non-reception of a response signal is sustained within a certain range even if it is not at a level that would be detected as a failure, thereby enabling the diagnosis of not only network failure but also performance degradation, thereby preventing communication problems caused by degradation of network performance. To this end, the abnormality diagnosis unit 232 may include a danger range recognition module 232a, a sustained count calculation module 232b, a reference count comparison module 232c, and an inspection notification transmission module 232d.

[0133] The danger range recognition module 232a is configured to recognize when the frequency of non-reception of a response signal reaches a danger range, where the danger range means a certain range below a reference value of the non-reception frequency at which a malfunction is diagnosed.

[0134] The duration count calculation module 232b is configured to calculate the duration count when the frequency of non-reception of a response signal reaches a danger range, and calculates the number of times that the unit time during which the frequency of non-reception during a certain unit time reaches the danger range.

[0135] The reference count comparison module 232c is configured to compare the sustained count calculated by the sustained count calculation module 232b with a reference count, and sets a reference count that can be determined as a degradation in network performance to perform the comparison.

[0136] The inspection notification sending module 232d is configured to determine that the network performance has deteriorated if the comparison result by the reference count comparison module 232c shows that the sustained count exceeds the reference count, and notifies the network of this so that an inspection can be performed promptly.

[0137] The emergency notification unit 233 is configured to notify a failure or performance degradation of a network state if a response signal is not received consecutively, thereby enabling prompt action to be taken, and if a response signal is not received consecutively within a unit time, it determines that the network is completely disconnected, enabling prompt action to be taken before a failure is diagnosed. To this end, the emergency notification unit 233 may include a no-response information receiving module 233a, a consecutive count calculation module 233b, and an emergency abnormality transmission module 233c.

[0138] The no-response information receiving module 233a is configured to receive information on no-received response signals, and determines whether no-received response signals continue.

[0139] The consecutive number calculation module 233b is configured to calculate the number of consecutive times that a response signal has not been received, and checks whether or not the response signal has not been received consecutively within a certain unit time.

[0140] The emergency abnormality transmission module 233c is configured to determine that the network connection has been completely cut off and transmit an emergency abnormality signal if the number of consecutive times calculated by the consecutive number calculation module 233b exceeds a predetermined number, thereby quickly notifying of the abnormality even before a failure is detected so that a prompt response can be taken.

[0141] The rental car 3 is a vehicle that is rented and used at a certain location, and is placed at a location a certain distance from an airport, port, railway station, etc. where transportation means such as airplanes, ships, and trains arrive, and is handed over to the rental car user. In addition, the rental car 3 can be formed as a connected car that can measure the vehicle status using various sensors, and information such as start, speed, acceleration / deceleration, location, and refueling information is measured and transmitted to the management server 1.

[0142] The manager terminal 5 is configured to input information about the rental car 3 or receive and display management information about the rental car 3, and may be a device such as a smart terminal, PC, or tablet that is capable of wired or wireless communication. The manager terminal 5 may receive shuttle vehicle allocation information, rental car 3 vehicle lineup and departure information, etc., and manages the rental car 3 vehicles based on the received information.

[0143] The user terminal 7 is configured to search for rental cars 3, reserve their use, and perform payment, etc., and may be a device such as a smartphone, PC, or tablet that is capable of wired or wireless communication with the management server 1. The user terminal 7 can search for rental cars 3 registered in the system and reserve their use, receive price information for the rental cars 3 and perform payment, receive information on fuel costs, fines, etc. and perform payment, and receive tourist route and store information to use for sightseeing.

[0144] The applicant has described various embodiments of the present invention above, but these embodiments are merely one embodiment that realizes the technical idea of ​​the present invention, and any changes or modifications that realize the technical idea of ​​the present invention should be interpreted as belonging to the scope of the present invention. [Explanation of symbols]

[0145] 1 Management Server 10 Vehicle Information Collection Department 11 Fuel Cost Calculation Department 12 Safe Driving Reflection Department 13 Fuel Discount Department 14 Penalty Calculation Department 15. Pricing Department 151 Correlation Analysis Department 152 Price Calculation Department 16 Price Adjustment Department 17 Vendor-specific provision department 18 Cancellation Resale Department 19 Shuttle Operations Department 20 Vehicle alignment instruction section 21 Tourist Route Information Department 22 Store Information Department 23 Network Diagnostics Department 231 Fault detection unit 232 Abnormality diagnosis unit 233 Emergency Notification Department 3. Car rental 5. Administrator terminal 7 User terminal

Claims

1. The system includes a rental car that a user rents for a certain period of time and then returns, a user terminal that searches for rental cars registered in the system, selects the rental car to be used, and receives information about the rental car, an administrator terminal that inputs information about the rental car, receives and displays management information about the rental car, and a management server that communicates with the user terminal, the administrator terminal, and the rental car, and generates and manages reservation information and management information about the rental car, The management server collects rental car operation information, automatically calculates fuel costs according to the rental car operation information, and bills the user for the calculated fuel costs.

2. The management server a fuel cost calculation unit that receives and stores rental car operation information, automatically calculates fuel costs according to the rental car operation information, and bills the user for the calculated fuel costs; The fuel cost calculation unit includes a correlation analysis module that analyzes the correlation between the operating state of each rental car and the amount of fuel consumed, an operation information receiving module that receives operation information for the rental period of the rental car for which fuel costs are to be claimed, a fuel cost calculation module that inputs the operation information into the correlation analyzed by the correlation analysis module to calculate fuel costs, and an automatic fuel cost claim module that automatically claims the calculated fuel costs to the user when returning the rental car, 2. The rental car management system of claim 1, wherein the correlation analysis module includes an operation information loading module that reads rental car start information, speed information, and acceleration / deceleration information, a refueling information loading module that reads refueling information for the rental car, and a correlation derivation module that derives the correlation between the operation information and fuel consumption for each rental car.

3. The management server a safe driving reflecting unit that calculates points according to the safe driving information of the rental car user and reflects the points in fuel costs; 3. The rental car management system according to claim 2, wherein the safe driving reflection unit includes: a driving time calculation module that calculates the operating time of the rental car; an idling time deduction module that subtracts the idling time of the rental car vehicle from the operating time; an acceleration / deceleration time deduction module that subtracts sudden acceleration and sudden deceleration time from the operating time; an overspeed time deduction module that subtracts excessive speed time from the operating time; a weighting module that applies weights to the times deducted by the acceleration / deceleration time deduction module and the excessive speed time deduction module according to the degree of sudden acceleration, sudden deceleration, and excessive speed; a driving point calculation module that calculates points according to the operating time calculated by the operating time calculation module, the idling time deduction module, the acceleration / deceleration time deduction module, the excessive speed deduction module, and the weighting module; and a fuel cost reflection module that automatically reflects the calculated driving points in fuel costs.

4. The management server a fuel cost discount unit that provides a discount on fuel costs according to a unit price of refueling by a rental car user; 3. The rental car management system of claim 2, wherein the fuel cost discount unit includes a refueling unit price loading module that reads refueling unit price information from refueling information of refueling by the user, a unit price information collection module that collects fuel unit price information for the area where the rental car is used at the time the user refuels, a standard unit price setting module that sets the average value of the fuel unit prices collected by the unit price information collection module as a standard unit price, a reduction rate calculation module that calculates a fuel cost reduction rate based on the difference between the user's refueling unit price and the standard unit price, a refueling point calculation module that calculates refueling points by multiplying the reduction rate by the amount of refueling by the user, and an automatic fuel cost deduction module that automatically deducts the calculated refueling points from the fuel cost paid by the user.

5. The management server a fine calculation unit that automatically reflects traffic law violation information of the rental car user and pre-charges the fine; 2. The rental car management system of claim 1, wherein the fine calculation unit includes a location information loading module that reads the location information of the rental car, a speed information loading module that reads speed information, a traffic enforcement location collection module that collects information on the vehicle's traffic enforcement location, a violation determination module that determines whether or not there is a violation of traffic laws such as speeding, no parking or stopping, no cutting in, or no use of bus lanes at the traffic enforcement location, a fine calculation module that calculates the fine for the period of use of the rental car depending on whether or not there is a violation of traffic laws, an automatic fine claim module that adds the fine to the user's fuel costs and claims it, and a fine refund module that reflects whether or not there is actual enforcement and automatically refunds the claimed fine if there is no enforcement.

6. The management server a price formulation unit that predicts a rental car usage rate and formulates rental prices for the rental cars according to the rental car usage rate; 2. The rental car management system according to claim 1, wherein the price formulation unit includes: a correlation analysis unit that analyzes the correlation between the rental car usage rate and a variable that affects the rental car usage rate; and a price calculation unit that predicts the expected usage rate based on the correlation analyzed by the correlation analysis unit and calculates the rental car rental price.

7. The correlation analysis unit The system includes a variable information storage module that stores variable information that affects the usage rate, a usage rate information storage module that stores the ratio of the number of rental cars in use to the total number of rental cars, a correlation derivation module that derives a correlation between the variable information and the usage rate information, and a correlation update module that updates the correlation at regular time intervals, The variable information storage module includes a vehicle type information storage module that stores information about the type of vehicle, a time information storage module that stores information about the day of the week and month when the vehicle is used, a season information storage module that stores information about the season when the vehicle is used, a weather information storage module that stores information about weather conditions, and an inflow rate storage module that stores information about the inflow rate of tourists who flow into an area where the rental car is used, 7. The rental car management system according to claim 6, wherein the inflow rate storage module stores the ratio of the number of people actually inflowing to the number of people that can be transported for transportation means including airplanes, ships, and trains arriving at the tourist destination where rental cars are used.

8. The price calculation unit a selection information receiving module that receives information indicating a user's selection of a rental car; a variable information loading module that reads variables for predicting rental car usage rates according to the user's selection information; an expected usage rate calculation module that predicts rental car usage rates by substituting the read variables into the correlation derived by the correlation analysis unit; a price standard setting module that sets a price standard according to the usage rate; and a price calculation module that calculates a price based on the predicted usage rate and the set price standard and provides it to the user, 8. The rental car management system according to claim 7, wherein the variable information loading module reads reservation rate information for vehicle type, time, season, weather, and transportation means and applies the information to the correlation.

9. The management server a price adjustment unit that adjusts the price calculated by the price calculation unit according to the remaining period of the rental car use period selected by the user, The price adjustment unit includes a period index setting module that sets a price adjustment level according to a remaining period, a weight setting module that sets a weight for the price adjustment level, an adjustment index calculation module that calculates a final adjustment index that adjusts the price by applying the weight to the period index, and a price change module that changes the price calculated by the price calculation unit according to the calculated adjustment index, 7. The rental car management system according to claim 6, wherein the weight setting module includes a time-based setting module that sets weights according to the days of the week and months of the period in which the rental car will be used, a season-based setting module that sets weights according to the season, and a reservation rate-based setting module that sets weights according to the reservation rate for the rental car.

10. The management server It includes a provider-specific section that displays prices by rental car provider, 7. The rental car management system of claim 6, wherein the vendor-specific provision unit includes a vendor-specific price display module that displays the vendor-specific prices calculated by the price calculation unit on a user terminal, a rating information loading module that reads rating information for rental cars from each vendor, a review analysis module that analyzes review information for rental cars from each vendor, a preference index calculation module that calculates a vendor-specific preference level based on the ratings and reviews, a preference criterion setting module that sets a price adjustment level based on the preference level, and a price reflection module that reflects in the price calculated by the price calculation unit a price adjustment level based on the criteria set by the preference criterion setting module.

11. The management server a cancellation and resale unit that allows a resale of a rental car reservation canceled by a user; The cancellation and resale unit includes a cancellation request receiving module that receives cancellation request information from a user, a sales possibility determination module that determines whether the rental car reservation for which a cancellation request has been made can be resold, a sales recommendation module that recommends resale to the user before cancellation on the condition that a cancellation fee is discounted if resale is possible, and a sales posting module that resells the rental car reservation at a discounted price if the user approves the resale, 2. The rental car management system of claim 1, wherein the sales feasibility determination module includes a predicted usage rate receiving module that receives usage rate information predicted by a price calculation unit for the rental car reservation period, a reservation rate receiving module that receives current reservation rate information, a reservation progress rate calculation module that calculates the ratio of the current reservation rate to the predicted usage rate, a period reflection module that corrects the reservation progress rate by reflecting the time remaining until the reservation period, and a sales feasibility determination module that compares the corrected reservation progress rate with a reference value to determine whether the rental car can be sold.

12. The management server a network diagnostic unit that transmits a confirmation signal to the rental car at regular intervals to diagnose communication abnormalities with the rental car; The network diagnosis unit includes a failure detection unit that determines that a communication failure has occurred when a response to a confirmation signal is not received at a certain frequency or more, an abnormality diagnosis unit that determines that network performance has deteriorated and notifies the same when the frequency of non-reception of a response signal continues within a certain range even if it is not at a level that would be detected as a failure, and an emergency notification unit that detects and notifies an emergency abnormality in the network even before a failure or performance deterioration is diagnosed by the failure detection unit or the abnormality diagnosis unit, The failure detection unit includes a confirmation signal transmitting module that transmits a confirmation signal to the rental car at regular time intervals, a response signal receiving module that receives a response signal to the confirmation signal, a non-received frequency calculating module that calculates a frequency at which the response signal is not received at regular unit time intervals, and a failure determination module that determines and notifies a failure when the non-received frequency exceeds a reference value; The abnormality diagnosis unit includes a danger range recognition module that recognizes that the frequency of non-reception of a response signal reaches a danger range below a frequency at which a malfunction is detected; a duration count calculation module that calculates the number of times the danger range persists; a reference value comparison module that compares the duration count with a reference value; and an inspection notification instruction module that determines that performance has deteriorated and notifies the user if the duration count exceeds the reference value; 2. The rental car management system according to claim 1, wherein the emergency notification unit includes: a no-response information receiving module that receives no-response information; a consecutive number calculation module that calculates the number of consecutive no-responses if the no-response occurs consecutively; and an emergency abnormality sending module that determines that an emergency abnormality has occurred and notifies the user if the consecutive number of no-responses exceeds a predetermined value.

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