A smart parking service system

Abstract

This invention discloses an intelligent parking service system. The invention relates to the field of parking management technology and includes a user terminal module, a parking space management module, an entrance / exit module, a monitoring module, a settlement module, a comprehensive evaluation module, and a data storage module. The monitoring module includes a sensor unit and a camera unit. The parking space management module includes a parking space prediction unit, an in-park navigation unit, and a dynamic price adjustment unit. The parking space prediction unit predicts the parking space availability at future times, and the dynamic price adjustment unit dynamically adjusts prices based on the parking space availability. This system allows users to predict future parking space availability via the parking space prediction unit and view the information on the user terminal without needing to be physically present, thus increasing information transparency and enabling remote monitoring of parking availability. Furthermore, the dynamic price adjustment unit adjusts parking fees in real time, guiding users to distribute their vehicles rationally and improving the overall utilization and turnover rate of parking spaces.

Description

Technical Field

[0001] This invention relates to the field of parking management technology, specifically to an intelligent parking service system. Background Technology

[0002] Currently, urban traffic problems are becoming increasingly prominent. The number of cars is constantly growing, while the construction of parking lots is lagging far behind the growth rate of cars, resulting in a severe shortage of parking spaces. With the rapid development of my country's economy and the continuous improvement of people's living standards, my country has rapidly entered a car-centric society. Due to a lack of forward-looking urban management concepts, economic incentives, and inadequate laws and regulations, the growth in the number of parking spaces in Chinese cities is far behind the trend of rapid growth, high-intensity use, and high-density concentration of cars, leading to parking difficulties for residents.

[0003] Existing parking management systems suffer from insufficient intelligence. Crowded and empty parking lots charge the same fees, making it impossible to incentivize drivers to choose less crowded parking lots by adjusting parking fees. This results in low parking efficiency. Furthermore, in traditional parking lots, users typically need to arrive at the parking lot to find out about parking availability and fees, leading to severe information gaps and an inability to remotely monitor parking conditions, further reducing parking space utilization efficiency. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent parking service system that solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an intelligent parking service system, comprising a user terminal module, a parking space management module, an entrance / exit module, a monitoring module, a settlement module, a comprehensive evaluation module, and a data storage module, wherein the data storage module is used to store vehicle information, user information, and parking lot data;

[0006] The user terminal module includes a GPS positioning unit, a query unit, and a payment unit;

[0007] The monitoring module includes a sensor unit and a camera unit. The sensor unit is used to monitor the parking space situation in the parking lot in real time through parking space sensors, and customers can view it in real time through the user terminal module. The camera unit is used to monitor the parking lot.

[0008] The parking space management module includes a parking space prediction unit, an in-park navigation unit, and a dynamic price adjustment unit.

[0009] The parking space prediction unit predicts the parking space availability in the future by combining real-time data from the parking lot, and the in-park navigation unit plans parking routes for users after the car enters the parking lot.

[0010] The price dynamic adjustment unit is used to dynamically adjust the price based on the availability of parking spaces.

[0011] The comprehensive evaluation module combines data from the parking space prediction unit and the price dynamic adjustment unit to obtain a comprehensive parking lot score S, which provides a quantitative evaluation of the parking lot and helps users understand the parking lot situation.

[0012] Optionally, the import / export module includes a license plate recognition device, a display screen, and a barrier gate device for automatic vehicle identification and to calculate parking time based on the time difference between the vehicle's entry and exit points in the parking lot.

[0013] Optionally, the prediction process of the parking space prediction unit is as follows:

[0014]

[0015] Where P(t+n) is the parking space occupancy rate at time t+n;

[0016] P(t) is the parking space occupancy rate at the current time;

[0017] D(t+n) is the date value at time t+n, and its value ranges from 0 to 1;

[0018] This indicates the current level of traffic congestion around the parking lot.

[0019] C t This indicates the current traffic flow around the parking lot.

[0020] C max It is the maximum traffic flow around the parking lot;

[0021] β is the date influence coefficient, which ranges from 0 to 1;

[0022] ΔP(t-n) is the change in parking space occupancy rate from time t-n to time t, specifically:

[0023] ΔP(t-1)=P(t)-P(t-1)

[0024] α is the influence coefficient of changes in parking space occupancy rate, with a value ranging from 0 to 1;

[0025] The parking space occupancy rate P(t+n) at time t+n represents the parking space situation in the future. When P(t+n) is greater than 1, it means that the parking lot will be overloaded in the future, and users can choose other parking lots.

[0026] Optionally, the price dynamic adjustment unit process is as follows:

[0027]

[0028] Q(t+n) represents the parking fee for time t+n, based on a unit of time.

[0029] Q(t) is the parking fee at the current time;

[0030] P(t+n) is the parking space occupancy rate at time t+n;

[0031] P target It is the target parking space occupancy rate;

[0032] P max This is the maximum parking space occupancy rate;

[0033] P min This is the minimum parking space occupancy rate;

[0034] γ is a dynamic adjustment coefficient with a value of 0.7;

[0035] By dynamically adjusting parking fees based on parking space occupancy rates, parking fees are increased when parking spaces are scarce and decreased when parking spaces are plentiful, thus incentivizing users to park during periods of greater parking availability.

[0036] Optionally, the evaluation process of the comprehensive evaluation module is as follows:

[0037]

[0038] S(t+n) is the overall parking lot score at time t+n, where S is the overall parking lot score.

[0039] P(t+n) is the parking space occupancy rate at time t+n;

[0040] P max This is the maximum parking space occupancy rate;

[0041] W1 is the parking space impact coefficient, with a value of 0.4;

[0042] Q(t+n) represents the parking fee for time t+n;

[0043] Q max That is the maximum parking fee;

[0044] W2 is the parking fee impact coefficient, with a value of 0.3;

[0045] L is the distance between the parking lot and the user;

[0046] L max This is the maximum distance between the parking lot and the user;

[0047] W3 is the distance-related factor, with a value of 0.3;

[0048] The comprehensive evaluation module yields a parking lot comprehensive score S(t+n) at time t+n, which represents the overall situation of the parking lot. The larger S(t+n) is, the more parking spaces the parking lot currently has, the lower the cost, and the closer the distance. Users can adjust the influence coefficients according to their actual needs. When users value parking costs more, the parking cost influence coefficient W2 is increased, while W1 and W3 are decreased to ensure that W1+W2+W3=1.

[0049] Optionally, a maximum threshold Y is set for the comprehensive parking lot score S(t+n) at time t+n, with Y taking the value of 0.8. When S(t+n) is less than Y, it indicates that there are many parking spaces and the cost is low. In this case, the parking lot management needs to increase the dynamic adjustment coefficient γ in the price dynamic adjustment unit to increase the parking fee to ensure economic benefits. Specifically:

[0050]

[0051] Where S(t+n) is the comprehensive parking lot score at time t+n;

[0052] γ is a dynamic adjustment coefficient.

[0053] Optionally, the settlement module is used to calculate the total parking price based on the parking time and the parking fee adjusted by the price dynamic adjustment unit, and display the result and QR code on the display screen at the parking lot exit, while sending the parking fee information to the user terminal module.

[0054] Optionally, the in-park navigation unit is used to provide parking space navigation for users, record parking locations, and send the parking locations to the user terminal module so that users can find their vehicles.

[0055] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0056] I. This invention uses a parking space prediction unit to predict parking space availability in a parking lot at a future time, which can be viewed through a user terminal. Users can choose to view the parking space availability at a future time based on their arrival time at the parking lot, eliminating the need for users to be on-site. This increases information transparency and enables remote understanding of parking space availability. Furthermore, a dynamic price adjustment unit adjusts parking fees in real time. When parking spaces are scarce, parking fees are increased; when parking spaces are plentiful, parking fees are decreased. This dynamic adjustment of prices based on actual parking space availability guides the rational distribution of user vehicles, avoids excessive concentration of parking spaces in certain areas or time periods, and improves the overall utilization and turnover rate of parking spaces.

[0057] Second, this invention obtains a comprehensive parking lot score S by combining data from the comprehensive evaluation module, the parking space prediction unit, and the price dynamic adjustment unit. This enables a quantitative evaluation of the parking lot, allowing users to quickly understand the parking lot situation. Furthermore, it can adjust the parking space impact coefficient, parking fee impact coefficient, and distance impact factor according to the user's actual needs. This makes the system highly flexible and able to meet different user needs, guiding users to parking lots with higher comprehensive parking lot scores S, thereby further improving parking space utilization efficiency. Attached Figure Description

[0058] Figure 1 This is a block diagram of the system modules of the present invention;

[0059] Figure 2 This is a block diagram of the user terminal module of the present invention;

[0060] Figure 3 This is a block diagram of the parking space management module of the present invention. Detailed Implementation

[0061] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] For examples, please refer to Figures 1 to 3 This embodiment provides an intelligent parking service system, including a user terminal module, a parking space management module, an entrance / exit module, a monitoring module, a settlement module, a comprehensive evaluation module, and a data storage module;

[0063] The user terminal module includes a GPS positioning unit, a query unit, and a payment unit;

[0064] The monitoring module includes a sensor unit and a camera unit. The sensor unit is used to monitor the parking space situation in the parking lot in real time through parking space sensors, and customers can view it in real time through the user terminal module. The camera unit is used to monitor the parking lot.

[0065] The parking management module includes a parking space prediction unit, an in-park navigation unit, and a dynamic price adjustment unit;

[0066] The on-site navigation unit is used to provide users with parking space navigation, record the parking location, and send the parking location to the user terminal module so that users can find their vehicles;

[0067] Specifically, the in-park navigation unit can combine with the GPS positioning unit in the user terminal module to know the exact location of the vehicle in the parking lot and display the parking lot map information on the user terminal to guide the user to an empty parking space or to find their vehicle. This can solve the problem of users having difficulty parking and finding their car, greatly save users' time, alleviate parking lot pressure, and improve parking space utilization efficiency.

[0068] The parking space prediction unit predicts the parking space availability in the future by combining real-time data from the parking lot, while the in-park navigation unit plans parking routes for users after the car enters the parking lot.

[0069] The price dynamic adjustment unit is used to dynamically adjust the price according to the parking space availability. In actual use, the refresh frequency of the price dynamic adjustment unit can be set, such as once every 5 minutes or once every 10 minutes.

[0070] The comprehensive evaluation module combines data from the parking space prediction unit and the price dynamic adjustment unit to obtain a comprehensive parking lot score S, which provides a quantitative assessment of the parking lot and helps users understand its condition.

[0071] In this embodiment, by setting up a user terminal module, users can remotely log in to the system via their mobile phones and remotely query the parking lot's parking space availability through the query unit in the user terminal module. The parking space availability is monitored in real time by the sensor unit in the monitoring module, and then the parking space prediction unit in the parking space management module can predict the parking space availability for future times. Users can choose to view the parking space availability for future times based on their arrival time, thus knowing the parking space availability when they arrive at the parking lot. They can then make subsequent selections based on the predicted parking space availability without having to go to the site, thereby increasing information transparency, saving users' time, and alleviating traffic pressure. Subsequently, the parking fee is adjusted in real time through a dynamic price adjustment unit. When parking spaces are scarce, the parking fee is increased; when parking spaces are plentiful, the parking fee is decreased. This allows for dynamic price adjustments based on the actual parking space availability, guiding users to distribute their vehicles reasonably, avoiding excessive concentration of parking spaces in certain areas or time periods, and improving the overall utilization and turnover rate of parking spaces.

[0072] Finally, by combining the data from the comprehensive evaluation module with those from the parking space prediction unit and the price dynamic adjustment unit, a comprehensive parking lot score S is obtained. This enables a quantitative evaluation of the parking lot, allowing users to quickly understand its condition. Furthermore, the comprehensive parking lot score S can be adjusted according to users' actual needs, such as prioritizing price or distance factors, to better meet their requirements. This flexibility allows users to compare different parking lots and choose the one that best suits their needs, thereby improving parking space utilization efficiency.

[0073] Furthermore, the import / export module includes license plate recognition equipment, a display screen, and a barrier gate, which are used for automatic vehicle identification and to calculate parking time based on the time difference between the vehicle's entry and exit points in the parking lot.

[0074] Specifically, license plate recognition equipment uses high-definition cameras and image processing technology to automatically recognize vehicle license plates, providing fast and accurate identity verification for vehicles entering and exiting the parking lot. After recognizing the correct license plate number, it selects whether to open the barrier gate based on the parking space availability and displays the result on the screen. When the car leaves, the screen displays the parking fee for the user to pay later.

[0075] Furthermore, the prediction process of the parking space prediction unit is as follows:

[0076]

[0077] Where P(t+n) is the parking space occupancy rate at time t+n;

[0078] P(t) is the parking space occupancy rate at the current time;

[0079] D(t+n) is the date value at time t+n, and its value ranges from 0 to 1;

[0080] This indicates the current level of traffic congestion around the parking lot.

[0081] C t This indicates the current traffic flow around the parking lot.

[0082] C max It is the maximum traffic flow around the parking lot;

[0083] β is the date influence coefficient, which ranges from 0 to 1;

[0084] ΔP(t-n) is the change in parking space occupancy rate from time t-n to time t, specifically:

[0085] ΔP(t-1)=P(t)-P(t-1)

[0086] α is the influence coefficient of changes in parking space occupancy rate, with a value ranging from 0 to 1;

[0087] Specifically, the parking space occupancy rate P(t+n) at time t+n represents the parking space availability in the future. When P(t+n) is greater than 1, it indicates that the parking lot will be overloaded in the future, and users can choose other parking lots. The system predicts the parking space availability in the future based on real-time data, allowing users to know the parking space availability before going to the parking lot, thus avoiding blindly searching for a parking space, saving time and energy, and improving the transparency of parking information.

[0088] Furthermore, the price dynamic adjustment unit process is as follows:

[0089]

[0090] Q(t+n) represents the parking fee for time t+n, based on a unit of time, such as 10 yuan per hour at 10 o'clock and 15 yuan per hour at 11 o'clock.

[0091] Q(t) is the parking fee at the current time;

[0092] P(t+n) is the parking space occupancy rate at time t+n;

[0093] P target It is the target parking space occupancy rate;

[0094] P max This is the maximum parking space occupancy rate;

[0095] P min This is the minimum parking space occupancy rate;

[0096] γ is a dynamic adjustment coefficient with a value of 0.7;

[0097] By dynamically adjusting parking fees based on parking space occupancy rates, parking fees are increased when parking spaces are scarce and decreased when parking spaces are plentiful. This incentivizes users to park during periods of ample parking and encourages them to seek alternative parking options during times of scarcity, thereby balancing parking space usage and improving overall parking efficiency.

[0098] Furthermore, the comprehensive evaluation module evaluation process is as follows:

[0099]

[0100] S(t+n) is the overall parking lot score at time t+n, where S is the overall parking lot score.

[0101] P(t+n) is the parking space occupancy rate at time t+n;

[0102] P max This is the maximum parking space occupancy rate;

[0103] W1 is the parking space impact coefficient, with a value of 0.4;

[0104] Q(t+n) represents the parking fee for time t+n;

[0105] Q max That is the maximum parking fee;

[0106] W2 is the parking fee impact coefficient, with a value of 0.3;

[0107] L is the distance between the parking lot and the user;

[0108] L max This is the maximum distance between the parking lot and the user;

[0109] W3 is the distance-related factor, with a value of 0.3;

[0110] Specifically, the comprehensive evaluation module generates a parking lot comprehensive score S(t+n) at time t+n, representing the overall situation of the parking lot. The larger the S(t+n) value, the more parking spaces the parking lot currently has, the lower the cost, and the closer the parking lot is. Users can adjust the influencing coefficients according to their actual needs. When users value parking costs more, the parking cost influencing coefficient W2 is increased, while W1 and W3 are decreased, ensuring that W1+W2+W3=1. By adjusting the parking space influencing coefficient, parking cost influencing coefficient, and distance influencing factor according to actual needs, this system can meet different user needs, is highly flexible, and can guide users to parking lots with higher comprehensive parking lot scores S, further improving parking efficiency.

[0111] Furthermore, a maximum threshold Y is set for the comprehensive parking lot score S(t+n) at time t+n, with Y taking the value of 0.8. When S(t+n) is less than Y, it indicates that there are many parking spaces and the cost is low. In this case, the parking lot management needs to increase the dynamic adjustment coefficient γ in the price dynamic adjustment unit to increase the parking fee to ensure economic benefits. Specifically:

[0112]

[0113] Where S(t+n) is the comprehensive parking lot score at time t+n;

[0114] γ is the dynamic adjustment coefficient;

[0115] Specifically, by setting a dynamic adjustment coefficient γ, the parking lot's comprehensive score S can be adjusted in real time. By reasonably increasing the price, when the supply of parking spaces exceeds the demand, a moderate increase in fees can stimulate some low-price-sensitive users to choose to give up, thus helping to optimize the utilization rate of parking spaces and avoid a situation of parking space surplus. This ensures the maximum utilization of resources and guarantees economic benefits while improving parking efficiency.

[0116] Furthermore, the settlement module is used to calculate the total parking price based on the parking time and the adjusted parking fee by the price dynamic adjustment unit, and displays the result and QR code on the display screen at the parking lot exit, while sending the fee information to the user terminal module.

[0117] Specifically, when a car leaves the parking lot, the settlement module displays the parking fee and a QR code for users to scan and pay, eliminating the need for manual processing. In practice, users can pay directly through the payment unit or by scanning the QR code, demonstrating a high degree of automation and saving time during the parking process.

[0118] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An intelligent parking service system, characterized in that, It includes a user terminal module, a parking space management module, an entrance / exit module, a monitoring module, a settlement module, a comprehensive evaluation module, and a data storage module; The user terminal module includes a GPS positioning unit, a query unit, and a payment unit; The monitoring module includes a sensor unit and a camera unit. The sensor unit is used to monitor the parking space situation in the parking lot in real time through parking space sensors, and customers can view it in real time through the user terminal module. The camera unit is used to monitor the parking lot. The parking space management module includes a parking space prediction unit, an in-park navigation unit, and a dynamic price adjustment unit. The parking space prediction unit predicts the parking space availability in the future by combining real-time data from the parking lot, and the in-park navigation unit plans parking routes for users after the car enters the parking lot. The prediction process of the parking space prediction unit is as follows: ； Where P(t+n) is the parking space occupancy rate at time t+n; P(t) is the parking space occupancy rate at the current time; D(t+n) is the date value at time t+n, and its value ranges from 0 to 1; This indicates the current level of traffic congestion around the parking lot. C t This indicates the current traffic flow around the parking lot. C max It is the maximum traffic flow around the parking lot; β is the date influence coefficient, which ranges from 0 to 1; ΔP(t-n) is the change in parking space occupancy rate from time t-n to time t, specifically: ； α is the influence coefficient of changes in parking space occupancy rate, with a value ranging from 0 to 1; The parking space occupancy rate P(t+n) at time t+n represents the parking space situation in the future. When P(t+n) is greater than 1, it means that the parking lot will be overloaded in the future, and users can choose other parking lots. The price dynamic adjustment unit is used to dynamically adjust the price based on the availability of parking spaces. The process of the dynamic price adjustment unit is as follows: ； Q(t+n) represents the parking fee for time t+n, based on a unit of time. Q(t) is the parking fee at the current time; P(t+n) is the parking space occupancy rate at time t+n; P target It is the target parking space occupancy rate; P max This is the maximum parking space occupancy rate; P min This is the minimum parking space occupancy rate; γ is a dynamic adjustment coefficient with a value of 0.7; By dynamically adjusting parking fees based on parking space occupancy rates, parking fees are increased when parking spaces are scarce and decreased when parking spaces are plentiful, thus incentivizing users to park during periods of ample parking availability. The comprehensive evaluation module is used to combine the data from the parking space prediction unit and the price dynamic adjustment unit to obtain a comprehensive parking lot score S, which provides a quantitative evaluation of the parking lot and makes it easier for users to understand the parking lot situation. The evaluation process of the comprehensive evaluation module is as follows: ； S(t+n) is the overall parking lot score at time t+n, where S is the overall parking lot score. P(t+n) is the parking space occupancy rate at time t+n; P max This is the maximum parking space occupancy rate; W1 is the parking space impact coefficient, with a value of 0.4; Q(t+n) represents the parking fee for time t+n; Q max That is the maximum parking fee; W2 is the parking fee impact coefficient, with a value of 0.3; L is the distance between the parking lot and the user; L max This is the maximum distance between the parking lot and the user; W3 is the distance-related factor, with a value of 0.3; The comprehensive evaluation module yields a parking lot comprehensive score S(t+n) at time t+n, which represents the overall situation of the parking lot. The larger S(t+n) is, the more parking spaces the parking lot currently has, the lower the cost, and the closer the distance. Users can adjust the influence coefficients according to their actual needs. When users value parking costs more, the parking cost influence coefficient W2 is increased, while W1 and W3 are decreased to ensure that W1+W2+W3=1.

2. The intelligent parking service system according to claim 1, characterized in that: The entrance / exit module includes license plate recognition equipment, a display screen, and a barrier gate, which are used for automatic vehicle identification and to calculate parking time based on the time difference between the vehicle's entry / exit at the parking lot.

3. The intelligent parking service system according to claim 2, characterized in that: A maximum threshold Y is set for the comprehensive parking lot score S(t+n) at time t+n, with Y taking the value of 0.

8. When S(t+n) is less than Y, it indicates that there are many parking spaces and the cost is low. In this case, the parking lot management needs to increase the dynamic adjustment coefficient γ in the price dynamic adjustment unit to increase the parking fee to ensure economic benefits. Specifically: ； Where S(t+n) is the comprehensive parking score at time t+n; γ is a dynamic adjustment coefficient.

4. The intelligent parking service system according to claim 3, characterized in that: The settlement module is used to calculate the total parking price based on the parking time and the parking fee adjusted by the price dynamic adjustment unit, and displays the result and QR code on the display screen at the parking lot exit. At the same time, the parking fee information is sent to the user terminal module.

5. The intelligent parking service system according to claim 1, characterized in that: The on-site navigation unit is used to provide parking space navigation for users, record parking locations, and send the parking locations to the user terminal module.

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