Cost quota determination method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a fee quota determination method and device, equipment and a storage medium. The method comprises the steps of obtaining operation data of a rented operation vehicle within a preset duration; and inputting the operation data into a dynamic cost quota calculation model, and determining a cost quota which needs to be delivered to an operating enterprise by the operating vehicle, so that the cost quota can be reasonably calculated.

Description

Technical Field

[0001] This application belongs to the technical field of taxis, and particularly relates to a method, device, equipment, and storage medium for determining a fare quota. Background Art

[0002] In the current taxi industry, there is a certain disconnect between the design principle of the traditional fixed fare quota charging system, as an operating cost allocation mechanism, and the actual operating environment. The fixed fare quota charging method usually takes a daily or monthly cycle and charges taxi drivers a pre-set fixed amount. However, in practical applications, this method fails to fully consider the substantial impact of many dynamic factors on drivers' income, resulting in unreasonable fare quota calculations. Summary of the Invention

[0003] In view of the above problems, the embodiments of this application provide a method, device, equipment, and storage medium for determining a fare quota, which can reasonably calculate the fare quota.

[0004] The embodiments of this application provide a method for determining a fare quota, and the method includes:

[0005] Obtain the operation data of the leased operating vehicle within a preset duration;

[0006] Input the operation data into a dynamic fare quota calculation model to determine the fare quota that the operating vehicle needs to pay to the operating enterprise.

[0007] In some embodiments, the operation data includes: driving mileage, operating amount, number of passengers, time period, weather data, economic benefit prediction factor of revenue. The dynamic fare quota calculation model includes: the calculation relationship between the fare quota, basic fixed costs, and variable costs. The basic fixed costs include at least one of fixed cost sharing costs, basic operation license costs, and administrative management costs. The variable costs include at least one of operating amount costs, passenger benefit costs, economic benefit coefficient costs, weather impact factor costs, and time period impact factor costs. The operating amount costs are determined according to the operating amount. The passenger benefit costs are determined according to the number of passengers per unit time. The economic benefit coefficient costs are determined according to the economic benefit prediction factor of revenue. The weather impact factor costs are determined according to the weather data. The time period impact factor costs are determined based on the time period.

[0008] In some embodiments, the method further includes:

[0009] Determine the income of the operating vehicle within the preset duration based on the fare quota;

[0010] Settle the said income to the driver account corresponding to the said operating vehicle.

[0011] In some embodiments, the said method further comprises:

[0012] Obtain the change trend of the historical operating amount of the said operating enterprise;

[0013] Based on the said change trend, determine the calculation coefficients of each fixed cost and each variable cost in the said dynamic cost quota calculation model.

[0014] In some embodiments, the said method further comprises:

[0015] Determine whether the cost quota of the said operating vehicle is paid;

[0016] In the case where the cost quota of the said operating vehicle is not paid, control the said operating vehicle to stop operating, or perform a vehicle locking process on the said operating vehicle.

[0017] In some embodiments, the said method further comprises:

[0018] Obtain the first image information inside the vehicle during the operation of the said operating vehicle;

[0019] Based on the said first image information, identify the number of passengers inside the vehicle;

[0020] In the case where the number of passengers is not 0 and it is determined based on the pricing device of the said operating vehicle that the vehicle is in an empty vehicle state, determine that the said operating vehicle does not meter the fare.

[0021] In some embodiments, the said method further comprises:

[0022] Obtain the second image information inside the vehicle during the operation of the said operating vehicle;

[0023] Based on the said second image information, determine the number of passengers inside the vehicle;

[0024] In the case where it is determined that the number of passengers has changed and the pricing device of the said operating vehicle is metering the fare, determine that the said operating vehicle is illegally sharing rides.

[0025] An embodiment of the present application provides a device for determining a cost quota, comprising:

[0026] A first acquisition module, configured to acquire the operation data of a rented operating vehicle within a preset duration;

[0027] A first determination module, configured to input the said operation data into a dynamic cost quota calculation model to determine the cost quota that the said operating vehicle needs to pay to the operating enterprise.

[0028] An embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the above is implemented.

[0029] An embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the method described in any one of the above is implemented.

[0030] An embodiment of the present application provides a computer program product. When the computer program product runs on a terminal device, it causes the electronic device to execute the method described in any one of the above.

[0031] A method for determining a cost quota provided by an embodiment of the present application can reasonably calculate the cost quota by obtaining operation data of a leased operating vehicle within a preset time period and inputting the operation data into a dynamic cost quota calculation model to determine the cost quota that the operating vehicle needs to pay to the operating enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present application will be described in more detail below with reference to the embodiments and the accompanying drawings.

[0033] Figure 1 It is a schematic flowchart of the implementation of a method for determining a cost quota provided for an embodiment of the present application;

[0034] Figure 2 It is a schematic structural diagram of a device for determining a cost quota provided for an embodiment of the present application;

[0035] Figure 3 It is a schematic structural diagram of the electronic device provided for an embodiment of the present application.

[0036] In the accompanying drawings, the same components are denoted by the same reference numerals, and the drawings are not drawn to actual scale. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] In order to make the objectives, technical solutions, and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be construed as limiting the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0038] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with each other without conflict.

[0039] If similar descriptions such as "first / second / third" appear in the application documents, the following description shall be added. In the following description, the terms "first / second / third" only distinguish similar objects and do not represent a specific order for the objects. Understandably, "first / second / third" can be interchanged with a specific order or sequence under allowable circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0041] Before introducing the embodiments of the present application, a brief introduction is made to the issues related to fare quotas in taxis. In the current taxi industry, there is a certain disconnect between the design principle of the traditional fixed fare quota charging system, as an operating cost allocation mechanism, and the actual operating environment. The fixed fare quota charging method usually takes a daily or monthly cycle and charges taxi drivers a preset fixed amount. However, in practical applications, this method fails to fully consider the substantial impact of many dynamic factors on drivers' income.

[0042] First, the change in the market operating environment is a significant variable. With the rise of shared mobility platforms and the continuous improvement of public transportation facilities, the competition pattern in the taxi industry has undergone profound changes. Fluctuations in factors such as market demand and passengers' consumption habits directly affect drivers' order-taking volume and revenue, while the current fixed fare quota system fails to respond flexibly to this and cannot achieve the ideal state of risk sharing and benefit sharing.

[0043] Second, traffic conditions and seasonal factors also have a significant impact on drivers' actual operating efficiency. For example, during the morning and evening rush hours, the increase in the empty running rate due to congestion means that drivers may experience a significant reduction in income while incurring the same fuel and time costs. Also, during the off-peak and peak seasons of tourism or in extreme weather conditions, there are obvious fluctuations in the demand for taxis, but the collection of fixed fare quotas ignores these real challenges, imposing an uneven economic burden on drivers.

[0044] Therefore, in the face of the above problems, the embodiment of the present application provides a method for determining a cost quota, which can be applied to electronic devices such as mobile phones, tablet computers, wearable devices, in-vehicle devices, augmented reality (AR) / virtual reality (VR) devices, laptop computers, ultra-mobile personal computers (UMPCs), netbooks, personal digital assistants (PDAs), roadside intelligent devices, and edge computing devices. The embodiment of the present application does not impose any restrictions on the specific type of the electronic device. The electronic device can be used as the server of the taxi fare system.

[0045] The function implemented by the method for determining the cost quota provided by the embodiment of the present application can be realized by the processor of the electronic device calling the program code, where the program code can be stored in the computer storage medium.

[0046] The embodiment of the present application provides a method for determining a cost quota. Figure 1 It is a schematic flowchart of the implementation process of a method for determining a cost quota provided by the present application. As Figure 1 shown, the method for determining the cost quota includes:

[0047] Step S101, obtain the operation data of the leased operating vehicle within a preset duration.

[0048] In the embodiment of the present application, the leased operating vehicle can be a taxi, and the preset duration can be configured. Exemplarily, it can be configured as one day, one week, etc.

[0049] In the embodiment of the present application, the operation data may include: driving mileage, operation amount, number of passengers, time period, weather data, economic benefit prediction factor of revenue.

[0050] In the embodiment of the present application, a GPS tracking system can be installed on the operating vehicle, and the electronic device can be communicatively connected to the GPS tracking system to obtain the driving mileage of the operating vehicle within the preset duration through the GPS tracking system. In some embodiments, taxis may be equipped with on-vehicle fare meters, which usually record the driving mileage and fares. The server can obtain the driving mileage data by connecting to the on-vehicle fare meter. In some embodiments, taxi companies may use a vehicle management system to track the operation data of vehicles, including driving mileage. The server can obtain the driving mileage data by connecting to the vehicle management system.

[0051] In the embodiments of the present application, taxis are usually equipped with a taximeter system that records information such as the time, distance, fare, and time period when passengers get on and off the vehicle. The server can obtain the operating amount, number of passengers carried, and time period of the taxi in real time by connecting to the taximeter system. The operating amount and passenger data of the operating vehicle within a preset time period are determined based on the real-time operating amount data. In some embodiments, taxi companies may use a vehicle management system to track the operating amount, number of passengers carried, and time period of the vehicle. The server can obtain the operating amount, number of passengers carried, and time period of the taxi within a preset time period by connecting to the vehicle management system.

[0052] In the embodiments of the present application, the weather data is the weather data corresponding to the time period. The electronic device can obtain the weather data through the API of a meteorological data provider or other data sources for correlation analysis with the taxi operation data.

[0053] In the embodiments of the present application, the economic benefit prediction factor for revenue is the economic benefit prediction cost for revenue. The economic benefit prediction factor for revenue can be determined based on the revenue change information of the operating vehicle. The server can obtain the revenue of the operating vehicle, determine the revenue change information based on the revenue, and determine the economic benefit prediction factor for revenue based on the change information. Exemplarily, if the revenue change information is that the revenue continuously increases, the economic benefit prediction factor can be increased. If the revenue change information is that the revenue continuously decreases, the economic benefit prediction factor can be decreased.

[0054] Step S102: Input the operation data into a dynamic fee quota calculation model to determine the fee quota that the operating vehicle needs to pay to the operating enterprise.

[0055] In the embodiments of the present application, the dynamic fee quota calculation model can collect the operation data of the operating vehicle, including but not limited to information such as driving mileage, number of passengers carried, time period, region, and weather conditions. Using big data analysis technology and intelligent algorithms, the above operation data is deeply mined and a model is constructed to form a fee quota calculation model closely related to the actual operation status.

[0056] Exemplarily, data related to the operating vehicle can be collected, including but not limited to the driving mileage, operating time, number of passengers, and income of the vehicle. These data can be obtained through a GPS tracking system, a taximeter system, a payment system, etc. The collected operation data is preprocessed, including operations such as data cleaning, duplicate removal, and formatting, to ensure the accuracy and consistency of the data. According to the revenue sharing policy and business requirements of the operating enterprise, a dynamic fee quota calculation model is established. The model can consider different factors, such as the operating efficiency of the vehicle, income level, industry policy adjustment coefficient, economic benefit coefficient, etc., to determine the amount of the fee quota that each vehicle needs to pay.

[0057] In the embodiments of the present application, after determining the dynamic cost quota calculation model, the operation data can be input into the dynamic cost quota calculation model to determine the cost quota amount that the vehicle needs to pay to the operation enterprise.

[0058] A method for determining a cost quota provided by the embodiments of the present application includes obtaining operation data of a rented operation vehicle within a preset time period; inputting the operation data into a dynamic cost quota calculation model to determine the cost quota that the operation vehicle needs to pay to the operation enterprise, and being able to reasonably calculate the cost quota.

[0059] The method for determining a cost quota provided by the embodiments of the present application can dynamically adjust the amount of the cost quota payable by each taxi driver daily or weekly, so as to ensure the income of the taxi company while minimizing the impact of the off-season or unfavorable operating conditions on the driver's income, and improving the driver's work enthusiasm and service quality.

[0060] In some embodiments, the dynamic cost quota calculation model includes: the calculation relationship between the cost quota and the basic fixed cost and variable cost. The basic fixed cost includes at least one of the fixed cost sharing cost, the basic operation license cost, and the administrative management cost. The variable cost includes at least one of the operation amount cost, the passenger-carrying benefit cost, the economic benefit coefficient cost, the weather influence factor cost, and the time period influence factor cost. The operation amount cost is determined according to the operation amount. The passenger-carrying benefit cost is determined according to the number of passenger pick-ups per unit time. The economic benefit coefficient cost is determined according to the economic benefit prediction factor of the revenue. The weather influence factor cost is determined according to the weather data. The time period influence factor cost is determined based on the time period.

[0061] In the embodiments of the present application, the fixed cost sharing cost can be vehicle depreciation, insurance cost, management fee, etc. The basic operation license cost can be a fixed cost related to the vehicle use right. The administrative management cost can include fixed expenses such as taxes and GPS monitoring system service fees.

[0062] In the embodiments of the present application, the operation amount cost can be calculated according to the operation amount. For example, for the operation amount M, the operation amount cost can be: V1 = α * M.

[0063] In the embodiments of the present application, the calculation formula of the operation amount cost can be obtained by fitting according to sample data. The sample data includes the operation amount cost and the operation amount. By fitting, the proportional coefficient α can be obtained, so as to establish the calculation formula of the passenger-carrying benefit cost.

[0064] In the embodiments of the present application, the passenger-carrying benefit cost is determined according to the number of passenger-carrying times per unit time. For example, the passenger-carrying benefit cost is calculated according to the actual number of passenger-carrying times N completed daily or weekly. For example, the passenger-carrying benefit cost V2 = β * N.

[0065] In the embodiments of the present application, the calculation formula of the passenger-carrying benefit cost can be obtained by fitting based on sample data. The sample data includes: the number of passenger-carrying times per unit time and the passenger-carrying benefit cost. By fitting, the proportionality coefficient β can be obtained, thereby establishing the calculation formula of the passenger-carrying benefit cost.

[0066] In the embodiments of the present application, the economic benefit coefficient cost is determined according to the economic benefit prediction factor of the revenue, and the economic benefit coefficient cost can be obtained by multiplying the economic benefit prediction factor of the revenue by a set proportionality coefficient.

[0067] In the embodiments of the present application, the calculation formula of the economic benefit coefficient cost can be obtained by fitting based on sample data. The sample data includes: the economic benefit prediction factor and the economic benefit coefficient cost. By fitting, the proportionality coefficient can be obtained, thereby establishing the calculation formula of the economic benefit coefficient cost.

[0068] In the embodiments of the present application, the weather impact factor cost is determined according to the weather data. The weather factor can be obtained from the weather data. Different weather data correspond to different weather factors, and the weather factor can be the operating amount affected by the weather data. The weather impact factor cost can be obtained by multiplying the weather factor by the corresponding coefficient.

[0069] In the embodiments of the present application, the calculation formula of the weather impact factor cost can be obtained by fitting based on sample data. The sample data includes: the weather impact factor cost and the weather data. The calculation formula of the weather impact factor cost is established by fitting.

[0070] In the embodiments of the present application, the time period impact factor cost is determined based on the time period. Different operating times can correspond to different revenues. The corresponding time period factor can be determined through the time period, and the time period factor can be the operating amount affected by the time period. The time period impact factor cost can be obtained by multiplying the time period factor by the corresponding proportionality coefficient.

[0071] In some embodiments, the dynamic cost further includes: an industry policy adjustment coefficient. The influencing factors of the industry policy adjustment coefficient can include: cost fluctuations caused by government-related policies or changes in market demand.

[0072] Continuing with the above example, the dynamic cost quota calculation model can be expressed as: D = B + V = B + α * M + β * N + γ * (time period factor) + θ * (weather factor) + ε * (economic benefit prediction factor) +...

[0073] Among them, B represents the basic fixed cost, V represents the variable cost, and α, β, γ, δ, ε, etc. are different proportional coefficients set according to different factors.

[0074] According to the method provided in the embodiment of the present application, based on this model, the amount of the fee quota payable by each taxi driver can be dynamically adjusted daily or weekly, so as to minimize the impact of the off-season or unfavorable operating conditions on the driver's income while ensuring the income of the taxi company, and improve the driver's work enthusiasm and service quality.

[0075] The method provided in the embodiment of the present application, based on the fee quota calculation model constructed by big data analysis and intelligent algorithms, realizes the dynamic and refined management of the fee quota allocation. It not only helps the enterprise to reasonably control costs and stabilize income, but also can flexibly adjust the driver's burden under different operating environments, relieve their economic pressure, stimulate work enthusiasm, and thus improve service quality and customer experience.

[0076] In some embodiments, after step S102, the method further includes:

[0077] Step S103, determining the income of the operating vehicle within a preset duration based on the fee quota.

[0078] In the embodiment of the present application, the income can be obtained by subtracting the fee quota from the operating amount.

[0079] Step S104, settling the income to the driver's account corresponding to the operating vehicle.

[0080] In the embodiment of the present application, the income of each operating vehicle is settled to the corresponding driver's account. This can be achieved through an electronic payment system or bank transfer, etc., to ensure that the driver can receive their income in a timely manner.

[0081] In some embodiments, before step S102, the method further includes:

[0082] Step S1021, obtaining the change trend of the historical operating amount of the operating enterprise.

[0083] In the embodiment of the present application, the operating amount in the next stage can be predicted based on the change trend of the historical operating amount of the operating enterprise. Collect the historical operating amount data of the operating enterprise in the past period of time, including data on income, fixed costs, and variable costs. By analyzing the historical data, the change trend of the operating amount can be identified, such as the impact of seasonal fluctuations, market changes and other factors on income.

[0084] Step S1022, determining the calculation coefficients of each fixed cost and each variable cost in the dynamic fee quota calculation model based on the change trend.

[0085] In the embodiments of the present application, according to the analysis results of historical data, the calculation coefficients of each fixed cost and variable cost in the dynamic expense quota calculation model are determined. Fixed costs are usually fixed costs, which can be determined according to historical averages; while variable costs may be affected by various factors, and the calculation coefficients need to be determined according to the change trend of historical data. According to the actual situation and the characteristics of the operating enterprise, the calculation coefficients of each expense in the dynamic expense quota calculation model are continuously optimized to make the model more accurate and more adaptable.

[0086] In the embodiments of the present application, the calculation coefficients of each expense in the dynamic expense quota calculation model are determined through the change trend, so as to better manage and optimize the financial situation of the operating enterprise.

[0087] For the method provided in the embodiments of the present application, predictive analysis can enable the enterprise management to adjust the expense quota strategy based on the future revenue forecast, respond to market changes in advance, achieve risk warning, and ensure the balanced development of the interests of both the enterprise and the driver.

[0088] In some embodiments, after step S102, the method further includes:

[0089] Step S105, determining whether the expense quota of the operating vehicle is paid.

[0090] In the embodiments of the present application, the payment status of the expense quota of each vehicle can be tracked in real time through an electronic payment system or other payment methods.

[0091] Step S106, in the case that the expense quota of the operating vehicle is not paid, controlling the operating vehicle to stop operating, or performing a vehicle locking process on the operating vehicle.

[0092] In the embodiments of the present application, in the case that the system monitors that the expense quota of a certain operating vehicle is not paid, automated control measures can be set, such as sending a warning notice to the driver or the operating management personnel, requiring them to pay the expense quota as soon as possible. If the expense quota of the operating vehicle is not paid for a long time, the system can automatically trigger control measures, such as stopping the operation of the vehicle or performing a vehicle locking process on the vehicle, to ensure that the driver complies with the regulations and pays the required expense quota.

[0093] In some embodiments, once the driver pays the expense quota, the system can automatically unlock the vehicle or restore its operation authority, and at the same time send a notice to inform the driver.

[0094] The method provided in the embodiments of the present application can effectively monitor and control the payment situation of the expense quota of the operating vehicle, ensure that the driver pays the expense quota according to the regulations, and at the same time protect the interests of the operating enterprise and the normal operation order.

[0095] The method provided by the embodiments of the present application can effectively safeguard the economic interests of enterprises, recover arrears in a timely manner, ensure the healthy operation of finance, and enhance the execution of rules and regulations through effective restraint of default behaviors, creating a good business atmosphere.

[0096] In some embodiments, the method further includes:

[0097] Step S107, obtaining first image information inside the operating vehicle during operation.

[0098] In the embodiments of the present application, a camera or other monitoring devices are installed inside the operating vehicle, and the electronic device can be communicatively connected to the camera to obtain the first image information inside the operating vehicle during operation.

[0099] In the embodiments of the present application, the first image information can be a picture or a video.

[0100] Step S108, identifying the number of passengers inside the vehicle based on the first image information.

[0101] In the embodiments of the present application, image recognition technology is used to analyze and process the obtained image information inside the vehicle to identify the number of passengers inside the vehicle. Technologies such as face recognition and object detection can be used to accurately determine the number of passengers inside the vehicle. In some embodiments, video AI, neural network algorithms, etc. can also be used to identify the number of passengers inside the vehicle.

[0102] Step S109, when the number of passengers is not 0 and it is determined based on the pricing device of the operating vehicle that the vehicle is in an empty vehicle state, determining that the operating vehicle has not started the meter for pricing.

[0103] In the embodiments of the present application, the pricing device of the operating vehicle can be monitored to check whether the pricing has been started. In the embodiments of the present application, when it is identified that the number of passengers inside the vehicle is not 0, in combination with the status of the pricing device, it is judged whether there is a situation of starting the meter for pricing. If the vehicle has passengers but the pricing device has not been started, there may be a behavior of not starting the meter for pricing.

[0104] In the embodiments of the present application, after it is determined that the user has not started the meter for pricing, a warning notice can be sent to the driver or operation management personnel, requesting them to start the meter for pricing.

[0105] The method provided by the embodiments of the present application can effectively prevent the illegal operations of drivers by real-time monitoring of the behavior of not starting the meter, protect the rights and interests of passengers and the fair competition environment of the taxi industry, improve the overall service quality and industry image, and further enhance the trust and satisfaction of passengers with the taxi industry.

[0106] In some embodiments, the method further includes:

[0107] Step S110: Obtain the second image information inside the operating vehicle during operation.

[0108] In the embodiment of the present application, an in-vehicle camera or other monitoring devices can be used to obtain the second image information of the operating vehicle during operation to ensure that the situation inside the vehicle can be comprehensively captured.

[0109] Step S111: Determine the number of passengers inside the vehicle based on the second image information.

[0110] In the embodiment of the present application, through image processing and number counting algorithms, the passengers in the second image information are identified and counted to determine the actual number of passengers inside the vehicle. The image processing and number counting algorithms can be video AI, neural network algorithms, etc.

[0111] Step S112: When it is determined that the passengers have changed and the fare meter of the operating vehicle is calculating the fare, determine that the operating vehicle is illegally sharing rides.

[0112] In the embodiment of the present application, the fare meter of the operating vehicle can be monitored to confirm whether it is calculating the fare. The status of the fare meter can reflect whether the vehicle is carrying passengers and charging.

[0113] In the embodiment of the present application, when it is determined that the number of passengers has changed, combined with the status of the fare meter, it is judged whether there is an illegal ride-sharing behavior. If the fare meter is calculating the fare but the number of passengers has changed, there may be an illegal ride-sharing situation.

[0114] In the embodiment of the present application, once it is confirmed that the operating vehicle has an illegal ride-sharing behavior, corresponding control measures can be taken, such as sending a warning notice to the driver or operation management personnel, requiring them to stop the illegal ride-sharing and make rectifications.

[0115] In the embodiment of the present application, the accurate identification and monitoring of illegal ride-sharing behaviors are beneficial to regulating the market order, ensuring that each passenger can enjoy a compliant and safe travel service, and at the same time protecting the interests of the enterprise and avoiding income losses caused by drivers' violations to the enterprise.

[0116] According to the foregoing embodiments, an embodiment of the present application provides an apparatus for determining a cost quota. Each module included in the apparatus, as well as each unit included in each module, may be implemented by a processor in a computer device; of course, it may also be implemented by specific logic circuits. During implementation, the processor may be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0117] An embodiment of the present application provides an apparatus for determining a cost quota. Figure 2 FIG. is a schematic structural diagram of an apparatus for determining a cost quota provided by an embodiment of the present application. As Figure 2 shown, the apparatus 200 for determining a cost quota includes:

[0118] A first acquisition module 201, configured to acquire operation data of a leased operation vehicle within a preset time period;

[0119] A first determination module 202, configured to input the operation data into a dynamic cost quota calculation model to determine the cost quota that the operation vehicle needs to pay to the operation enterprise.

[0120] In some embodiments, the operation data includes: driving mileage, operation amount, number of passengers, time period, weather data, and an economic benefit prediction factor of revenue. The dynamic cost quota calculation model includes: a calculation relationship between the cost quota, basic fixed costs, and variable costs. The basic fixed costs include at least one of fixed cost sharing costs, basic operation license costs, and administrative management costs. The variable costs include at least one of operation amount costs, passenger benefit costs, economic benefit coefficient costs, weather impact factor costs, and time period impact factor costs. The operation amount costs are determined according to the operation amount. The passenger benefit costs are determined according to the number of passengers within a unit time. The economic benefit coefficient costs are determined according to the economic benefit prediction factor of the revenue. The weather impact factor costs are determined according to the weather data. The time period impact factor costs are determined based on the time period.

[0121] In some embodiments, the apparatus 200 for determining a cost quota further includes:

[0122] A second determination module, configured to determine the income of the operation vehicle within a preset time period based on the cost quota;

[0123] A settlement module, configured to settle the income to the driver account corresponding to the operation vehicle.

[0124] In some embodiments, the device 200 for determining the expense quota further includes:

[0125] A second obtaining module, configured to obtain the change trend of the historical operating amount of the operating enterprise;

[0126] A third determining module, configured to determine the calculation coefficients of each fixed expense and each variable expense in the dynamic expense quota calculation model based on the change trend.

[0127] In some embodiments, the device 200 for determining the expense quota further includes:

[0128] A fourth determining module, configured to determine whether the expense quota of the operating vehicle is paid;

[0129] A control module, configured to control the operating vehicle to stop operating or perform a vehicle locking process on the operating vehicle when the expense quota of the operating vehicle is not paid.

[0130] In some embodiments, the device 200 for determining the expense quota further includes:

[0131] A third obtaining module, configured to obtain the first image information inside the vehicle during the operation of the operating vehicle;

[0132] A first recognition module, configured to recognize the number of passengers inside the vehicle based on the first image information;

[0133] A fifth determining module, configured to determine that the operating vehicle does not meter when the number of passengers is not zero and it is determined that the vehicle is in an empty vehicle state based on the pricing device of the operating vehicle.

[0134] In some embodiments, the device 200 for determining the expense quota further includes:

[0135] A fourth obtaining module, configured to obtain the second image information inside the vehicle during the operation of the operating vehicle;

[0136] A second recognition module, configured to determine the number of passengers inside the vehicle based on the second image information;

[0137] A sixth determining module, configured to determine that the operating vehicle illegally picks up passengers when it is determined that the number of passengers has changed and the pricing device of the operating vehicle is in the process of pricing.

[0138] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments and will not be elaborated here.

[0139] Figure 3 The following is a schematic structural diagram of the electronic device provided by the embodiment of the present application. As Figure 3 shown, the electronic device 3 in this embodiment may include: at least one processor 30 ( Figure 3 only one processor 30 is shown in the figure), a memory 31, and a computer program 32 stored in the memory 31 and executable on at least one processor 30. When the processor 30 executes the computer program 32, the steps in any of the foregoing method embodiments are implemented, such as Figure 1 the steps S101 to S102 in the embodiment shown. Or, when the processor 30 executes the computer program 32, the functions of each module / unit in the foregoing device embodiments are implemented, such as Figure 2 the functions of the modules 201 to 202 shown.

[0140] Exemplarily, the computer program 32 can be divided into one or more modules / units. One or more modules / units are stored in the memory 31 and executed by the processor 30 to complete the present application. One or more modules / units can be a series of computer program 32 instruction segments capable of completing specific functions, and these instruction segments are used to describe the execution process of the computer program 32 in the electronic device 3.

[0141] The embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program 32. When the computer program 32 is executed by the processor 30, the steps in the foregoing method embodiments can be implemented.

[0142] The embodiment of the present application provides a computer program product. When the computer program product runs on an electronic device, the electronic device is enabled to execute the steps in the foregoing method embodiments.

[0143] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiment methods of the present application, a computer program 32 can be used to instruct relevant hardware to complete. The computer program 32 can be stored in a computer-readable storage medium. When the computer program 32 is executed by a processor 30, the steps of the above-described method embodiments can be implemented. Among them, the computer program 32 includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device capable of carrying the computer program code to the terminal, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium cannot be an electrical carrier signal and a telecommunication signal.

[0144] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0145] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0146] In the embodiments provided in the present application, it should be understood that the disclosed device / network device and method can be implemented in other ways. For example, the device / network device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0147] The unit described as a separation component may or may not be physically separated. The component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0148] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. A method for determining a cost quota, characterized in that: include: Obtaining the operating data of the rental vehicle within a preset time period; The operation data is input into a dynamic fee quota calculation model to determine the fee quota that the operating vehicle needs to pay to the operating enterprise.

2. The method according to claim 1, characterized in that The operating data includes: mileage, operating amount, number of passengers carried, time period, weather data, and economic benefit prediction factors of revenue. The dynamic cost quota calculation model includes: the calculation relationship between the cost quota and the basic fixed cost and variable cost. The basic fixed cost includes: fixed cost sharing cost, basic operating license cost and administrative management cost. The variable cost includes: at least one of the operating amount cost, passenger efficiency cost, economic benefit coefficient cost, weather influence factor cost and time period influence factor cost. The operating amount cost is determined according to the operating amount, the passenger efficiency cost is determined according to the number of passengers carried per unit time, the economic benefit coefficient cost is determined according to the economic benefit prediction factors of the revenue, the weather influence factor cost is determined according to the weather data, and the time period influence factor cost is determined based on the time period.

3. The method according to claim 1, characterized in that The method further comprises: Determining the revenue of the operating vehicle within a preset time period based on the fee quota; The income is settled to the driver's account corresponding to the operating vehicle.

4. The method according to claim 2, characterized in that: The method further comprises: Obtain the change trend of the historical operating amount of the operating enterprise; The calculation coefficients of each fixed fee and each variable fee in the dynamic fee quota calculation model are determined based on the change trend.

5. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: determining whether the quota of expenses for operating the vehicle is paid; When the fee quota of the operating vehicle is not paid, the operating vehicle is controlled to stop operating, or the operating vehicle is locked.

6. The method according to claim 1, characterized in that The method further comprises: Acquiring first image information inside the operating vehicle during operation; Identify the number of passengers in the vehicle based on the first image information; When the number of passengers is not 0 and the vehicle is determined to be empty based on the pricing device of the operating vehicle, it is determined that the operating vehicle is not metering.

7. The method according to claim 1, characterized in that The method further comprises: Acquiring second image information inside the operating vehicle during operation; determining the number of passengers in the vehicle based on the second image information; When it is determined that the passenger has changed and the pricing device of the operating vehicle is performing pricing, it is determined that the operating vehicle has violated the carpooling regulations.

8. A device for determining a fee quota, characterized in that: include: The first acquisition module is used to acquire the operation data of the rental operation vehicle within a preset time period; The first determination module is used to input the operation data into a dynamic fee quota calculation model to determine the fee quota that the operating vehicle needs to pay to the operating enterprise.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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