Vehicle operation service management system based on Internet of Vehicles

Abstract

The present invention discloses a vehicle operation service management system based on the Internet of Vehicles, and relates to the technical field of vehicle operation management. The system discloses a vehicle operation scoring module, a vehicle operation interruption module, and a service scheduling module. The vehicle operation scoring module and the vehicle operation interruption module are set, and the operation scoring of the operating vehicles in the passenger-carrying state is dynamically performed in combination with the Internet of Vehicles, so as to ensure a comprehensive evaluation of each operating vehicle, understand the operation service status of each operating vehicle in real time, and timely mark the operating vehicles with operation service problems, and then interrupt the operation service of the operating vehicles with operation service problems. The service scheduling module is set, and the dispatching vehicle suitable for passengers can be selected in time within the operation scheduling range of the interrupted operating vehicle, so as to ensure the passenger operation service experience while avoiding the operation service pressure on the dispatching vehicle, and ensure the reasonable allocation of the operation service scheduling work.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle operation management, and more specifically, to a vehicle operation service management system based on an Internet of Vehicles. Background Art

[0002] At present, each vehicle operation service company will formulate a set of management systems to constrain the operation of vehicles. However, it is difficult for the operation service company to effectively supervise the operation of vehicles during the operation process. Generally, the operation service problems of the operation vehicles can only be learned after receiving complaints from passengers. However, this management method is likely to cause passengers to have a bad impression of the operation of the operation service company's vehicles, which is not conducive to subsequent operation promotion and service. Summary of the invention

[0003] In view of the deficiencies in the prior art, an object of the present invention is to provide a vehicle operation service management system based on the Internet of Vehicles.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] The vehicle operation service management system based on the Internet of Vehicles includes a vehicle operation scoring module, a vehicle operation interruption module, and a service scheduling module;

[0006] The vehicle operation scoring module is used to control the operation vehicle in the passenger-carrying state, obtain the vehicle operation log of the operation vehicle every t time, and dynamically adjust the acquisition time of the vehicle operation log;

[0007] The vehicle operation interruption module is used to determine whether the operation of the operating vehicle needs to be interrupted according to the comparison result between the operation service management value of the operating vehicle and its threshold value;

[0008] The service scheduling module selects a designated scheduling vehicle within the operation scheduling range of the interrupted operation vehicle, and arranges the designated scheduling vehicle to continue to provide operation services to passengers on the interrupted operation vehicle.

[0009] Furthermore, the vehicle operation log includes a vehicle operation score and an operation log time.

[0010] Furthermore, the vehicle operation score of the vehicle operation log is obtained in the following manner: obtaining the driver's driving characteristic information and the vehicle's driving characteristic information of the operating vehicle within a period of t, and using the driver's driving characteristic information and the vehicle's driving characteristic information as input data of the vehicle operation scoring model to obtain the vehicle operation score.

[0011] Furthermore, a vehicle operation scoring model is constructed in the following manner: the driver's driving characteristic information and the vehicle's driving characteristic information are packaged into a vehicle operation characteristic information group, a plurality of vehicle operation characteristic information groups are obtained, the vehicle operation characteristic information groups are used as training data, a vehicle operation score is assigned to the training data, the value range of the vehicle operation score is (0-5), the training data is divided into a training set and a validation set according to a preset ratio, the training set and the validation set are iteratively trained with a neural network, and a vehicle operation scoring model is obtained after the training is completed. The closer the vehicle operation score is to 5, the more the driver's behavior and the vehicle's driving behavior comply with the vehicle operation service regulations, and the closer the vehicle operation score is to 0, the less the driver's behavior and the vehicle's driving behavior comply with the vehicle operation service regulations.

[0012] Furthermore, the acquisition time of the vehicle operation log is dynamically adjusted, specifically: the vehicle operation threshold score is set, and when the vehicle operation score of the vehicle operation log is greater than or equal to the vehicle operation threshold score, the vehicle operation log of the operating vehicle is obtained for a period of t;

[0013] When the vehicle operation score of the vehicle operation log is less than the vehicle operation threshold score, the vehicle operation score is calculated by ratio with the vehicle operation threshold score to obtain the log acquisition index SK. SK Duration: Get the vehicle operation log of the operating vehicle.

[0014] Furthermore, the operation service management value of the operating vehicle is obtained by the following method: obtaining s vehicle operation logs of the operating vehicle before the current system time, sorting all vehicle operation logs in the order of the operation log time, calculating the time difference between the operation log times of two adjacent vehicle operation logs after sorting, obtaining the log acquisition interval, summing up all the log acquisition intervals and taking the average, obtaining the average log acquisition interval, and marking it as LGB, summing up the vehicle operation scores of all vehicle operation logs, obtaining the total vehicle operation score, and marking it as TFE, using the formula The operation service management value ESW of the operating vehicle is obtained, where a1 is the average log acquisition interval coefficient and a2 is the vehicle operation total score coefficient.

[0015] Further, according to the comparison result between the operation service management value of the operation vehicle and its threshold, it is determined whether the operation vehicle needs to suspend operation, specifically: setting the operation service management threshold, when the operation service management value of the operation vehicle is greater than or equal to the operation service management threshold, no corresponding processing is performed;

[0016] When the operation service management value of an operating vehicle is less than the operation service management threshold, the operating vehicle is marked as an interrupted operation vehicle and cannot accept operation services within T time, and a warning message is sent to the on-board terminal of the operating vehicle.

[0017] Further, a selected dispatch vehicle is selected within the operational dispatch range of the interrupted operating vehicle, and the selected dispatch vehicle is arranged to continue to provide operational services to the passengers on the interrupted operating vehicle. Specifically, a circle is drawn with a preset radius and the location of the interrupted operating vehicle as the center to obtain the operational dispatch range, and the remaining operating vehicles in the operational dispatch range that are in a passenger-free state are marked as pre-selected dispatch vehicles;

[0018] When the operating vehicle completes the passenger operating service work, it generates the operating service completion record of the operating vehicle and the passenger operating service experience record. The operating service completion record of the operating vehicle includes the operating service duration and operating service distance, and the passenger operating service experience record includes the service experience duration and service experience distance;

[0019] Passengers on the interrupted operating vehicles are marked as dispatching passengers, and the average service experience length and average service experience distance of the dispatching passengers are obtained and marked as [A1, A2], where A1 is the average service experience length of the dispatching passengers and A2 is the average service experience distance of the dispatching passengers. The average operation service length and average operation service distance of the pre-selected dispatching vehicles are obtained and marked as [B1, B2], where B1 is the average operation service length of the pre-selected dispatching vehicles and B2 is the average operation service distance of the pre-selected dispatching vehicles. The cosine similarity algorithm is used to calculate the operation adaptation value of the dispatching passengers and the pre-selected dispatching vehicles, and marked as LDX;

[0020] The distance difference between the position of the pre-selected dispatched vehicle and the position of the interrupted operation vehicle is calculated to obtain the dispatch distance, which is marked as FRC. Get the dispatch recommendation value KHZ of the pre-selected dispatch vehicle, where b1 is the operation adaptation value coefficient and b2 is the dispatch distance coefficient;

[0021] The pre-selected dispatch vehicle with the largest dispatch recommendation value is marked as the selected dispatch vehicle. The selected dispatch vehicle travels to the location of the interrupted operation vehicle, and the passengers on the interrupted operation vehicle are arranged on the selected dispatch vehicle. The selected dispatch vehicle continues to provide operation services to the passengers.

[0022] Furthermore, the average service experience length of the dispatched passengers is obtained by: obtaining all operation service experience records of the dispatched passengers before the current time of the system, summing up the service experience durations of the operation service experience records and taking the average, to obtain the average service experience length of the dispatched passengers;

[0023] The average service experience distance of the dispatched passengers is obtained in the following way: all operational service experience records of the dispatched passengers before the current time of the system are obtained, the service experience distances of the operational service experience records are summed up and averaged, and the average service experience distance of the dispatched passengers is obtained.

[0024] Furthermore, the average operation service length of the pre-selected dispatch vehicle is obtained by: obtaining all operation service completion records of the pre-selected dispatch vehicle before the current system time, summing up the operation service lengths of the operation service completion records and taking the average, to obtain the average operation service length of the pre-selected dispatch vehicle;

[0025] The average operation service distance of the pre-selected dispatch vehicle is obtained in the following way: obtain all operation service completion records of the pre-selected dispatch vehicle before the current time of the system, sum up the operation service distances of the operation service completion records and take the average, and obtain the average operation service distance of the pre-selected dispatch vehicle.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. Set up a vehicle operation scoring module and a vehicle operation interruption module, and combine the Internet of Vehicles to dynamically score the operating vehicles in the passenger-carrying state, ensure a comprehensive evaluation of each operating vehicle, understand the operating service status of each operating vehicle in real time, and promptly mark the operating vehicles with operating service problems, and then interrupt the operating service of the operating vehicles with operating service problems;

[0028] 2. Setting up a service dispatch module can timely select dispatch vehicles suitable for passengers within the operational dispatch range of the interrupted operating vehicles, ensuring the passenger operational service experience while avoiding operational service pressure on the dispatch vehicles and ensuring the reasonable allocation of operational service dispatch work. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flowchart for determining whether an operating vehicle needs to suspend operation;

[0030] Figure 2 A flowchart for selecting a dispatching vehicle within the operational dispatching range for interrupted operating vehicles. DETAILED DESCRIPTION

[0031] Reference Figure 1-Figure 2 , a vehicle operation service management system based on the Internet of Vehicles, including a vehicle operation scoring module, a vehicle operation interruption module, and a service scheduling module.

[0032] The vehicle operation scoring module: when the operating vehicle is driving with passengers, the vehicle operation log of the operating vehicle is obtained every t time, and the vehicle operation log includes the vehicle operation score and the operation log time (i.e. the time when the vehicle operation log is obtained).

[0033] The vehicle operation score of the vehicle operation log is obtained in the following way: obtaining the driver's driving characteristic information (including but not limited to the number of times the driver is emotionally excited) and the vehicle's driving characteristic information (including but not limited to the number of times the vehicle brakes suddenly and the number of times the vehicle accelerates suddenly) within a time period of t, and using the driver's driving characteristic information and the vehicle's driving characteristic information as input data for the vehicle operation scoring model to obtain the vehicle operation score.

[0034] The number of times the driver is emotionally excited can be obtained in the following way: observe the driver's facial expression in real time through the camera inside the operating vehicle, match the driver's facial expression with the driving expression library in real time, and when the driver's facial expression matches the excited facial expression in the driver's expression library, the number of times the driver is emotionally excited is increased by one.

[0035] The driver expression database contains the driver's facial expressions during driving and their corresponding emotional polarity sets, where the emotional polarity includes excitement and calmness.

[0036] The Internet of Vehicles can monitor the speed, location and other information of operating vehicles in real time, and then use the above information to obtain the number of sudden braking and acceleration of the vehicle.

[0037] Each vehicle operation service company will formulate a set of management systems to constrain the operation of vehicles, such as requiring the drivers of operating vehicles to keep a calm mind and not get emotional during the operation of the vehicle, or requiring the drivers of operating vehicles to keep the vehicle stable and drive safely during the operation of the vehicle.

[0038] The vehicle operation scoring model is constructed in the following way: the driver driving characteristic information and the vehicle driving characteristic information are packaged into a vehicle operation characteristic information group, and multiple vehicle operation characteristic information groups are obtained. The driver driving characteristic information and the vehicle driving characteristic information in the vehicle operation characteristic information group can be actual data or virtual data. The vehicle operation characteristic information group is used as training data, and the training data is assigned a vehicle operation score. The value range of the vehicle operation score is (0-5). The training data is divided into a training set and a validation set according to a preset ratio. The preset ratio of the training set and the validation set can be adjusted according to the demand. The training set and the validation set are iteratively trained with a neural network. After the training is completed, the vehicle operation scoring model is obtained. The closer the vehicle operation score is to 5, the more the driver behavior and the vehicle driving behavior of the vehicle comply with the vehicle operation service regulations. The closer the vehicle operation score is to 0, the less the driver behavior and the vehicle driving behavior of the vehicle comply with the vehicle operation service regulations.

[0039] Set the vehicle operation threshold score. The vehicle operation threshold score is a system preset score and can be modified according to actual needs.

[0040] When the vehicle operation score of the vehicle operation log is greater than or equal to the vehicle operation threshold score, the vehicle operation log of the operating vehicle is obtained for a period of time t.

[0041] When the vehicle operation score of the vehicle operation log is less than the vehicle operation threshold score, the vehicle operation score is calculated by ratio with the vehicle operation threshold score to obtain the log acquisition index SK. SK Duration: Get the vehicle operation log of the operating vehicle.

[0042] The vehicle operation interruption module: obtains s vehicle operation logs of the operating vehicle before the current system time, sorts all vehicle operation logs in the order of the operation log time, calculates the time difference between the operation log times of two adjacent vehicle operation logs after sorting, obtains the log acquisition interval, sums up all the log acquisition intervals and takes the average, obtains the average log acquisition interval, and marks it as LGB, sums up the vehicle operation scores of all vehicle operation logs, obtains the total vehicle operation score, and marks it as TFE, uses the formula The operation service management value ESW of the operating vehicle is obtained, where a1 is the average log acquisition interval coefficient, a2 is the vehicle operation total score coefficient, the value of a1 is 1.32, and the value of a2 is 0.99.

[0043] Set the operation service management threshold. The operation service management threshold is a system preset threshold and can be modified according to actual needs.

[0044] When the operation service management value of an operating vehicle is greater than or equal to the operation service management threshold, no corresponding processing is performed.

[0045] When the operation service management value of an operating vehicle is less than the operation service management threshold, the operating vehicle is marked as an interrupted operation vehicle and cannot accept operation services within T time, and a warning message is sent to the on-board terminal of the operating vehicle.

[0046] A vehicle operation scoring module and a vehicle operation interruption module are set up, and the operation scoring of operating vehicles in the passenger-carrying state is carried out dynamically in combination with the Internet of Vehicles to ensure a comprehensive evaluation of each operating vehicle, understand the operation service status of each operating vehicle in real time, and promptly mark the operating vehicles with operation service problems, thereby interrupting the operation service of the operating vehicles with operation service problems.

[0047] The service scheduling module draws a circle with a preset radius (the preset radius can be modified according to actual needs) with the location of the interrupted operating vehicle as the center, obtains the operating scheduling range, and marks the remaining operating vehicles with no passengers located within the operating scheduling range as pre-selected scheduling vehicles.

[0048] When the operating vehicle completes the passenger operating service work (such as after the operating vehicle delivers the passenger to the destination), the operating service completion record of the operating vehicle and the passenger's operating service experience record are generated. The operating service completion record of the operating vehicle includes the operating service time (the total time the operating vehicle provides operating services to the passenger) and the operating service distance (the total distance the passenger has traveled on the operating vehicle). The passenger's operating service experience record includes the service experience time (the total time the passenger has experienced the operating service provided by the operating vehicle) and the service experience distance (the total distance the passenger has traveled on the operating vehicle).

[0049] Passengers on the interrupted operating vehicles are marked as dispatching passengers, and the average service experience length and average service experience distance of the dispatching passengers are obtained and marked as [A1, A2], where A1 is the average service experience length of the dispatching passengers, and A2 is the average service experience distance of the dispatching passengers. The average operating service length and average operating service distance of the pre-selected dispatching vehicles are obtained and marked as [B1, B2], where B1 is the average operating service length of the pre-selected dispatching vehicles, and B2 is the average operating service distance of the pre-selected dispatching vehicles. The cosine similarity algorithm is used to calculate the operational adaptation value of the dispatching passengers and the pre-selected dispatching vehicles, and marked as LDX.

[0050] For example: The average service experience of dispatched passengers is 15, the average service experience distance of dispatched passengers is 8.9, the average service length of pre-selected dispatched vehicles is 14, and the average service distance of pre-selected dispatched vehicles is 8.1.

[0051] The distance difference between the position of the pre-selected dispatched vehicle and the position of the interrupted operation vehicle is calculated to obtain the dispatch distance, which is marked as FRC. The dispatch recommendation value KHZ of the pre-selected dispatch vehicle is obtained, where b1 is the operation adaptation value coefficient, b2 is the dispatch distance coefficient, the value of b1 is 0.74, and the value of b2 is 0.68.

[0052] The pre-selected dispatch vehicle with the largest dispatch recommendation value is marked as the selected dispatch vehicle. The selected dispatch vehicle travels to the location of the interrupted operation vehicle, and the passengers on the interrupted operation vehicle are arranged on the selected dispatch vehicle. The selected dispatch vehicle continues to provide operation services to the passengers.

[0053] The average length of service experience for dispatched passengers is obtained in the following manner: all operational service experience records of dispatched passengers before the current time of the system are obtained, the service experience durations of the operational service experience records are summed up and averaged, and the average length of service experience for dispatched passengers is obtained.

[0054] The average service experience distance of the dispatched passengers is obtained in the following way: all operational service experience records of the dispatched passengers before the current time of the system are obtained, the service experience distances of the operational service experience records are summed up and averaged, and the average service experience distance of the dispatched passengers is obtained.

[0055] The average operation service length of the pre-selected dispatch vehicle is obtained in the following manner: all operation service completion records of the pre-selected dispatch vehicle before the current system time are obtained, the operation service lengths of the operation service completion records are summed up and averaged, and the average operation service length of the pre-selected dispatch vehicle is obtained.

[0056] The average operation service distance of the pre-selected dispatch vehicle is obtained in the following way: obtain all operation service completion records of the pre-selected dispatch vehicle before the current time of the system, sum up the operation service distances of the operation service completion records and take the average, and obtain the average operation service distance of the pre-selected dispatch vehicle.

[0057] By setting up a service scheduling module, it is possible to timely select a dispatch vehicle suitable for passengers within the operational scheduling range of the interrupted operating vehicles, thereby ensuring the passenger operational service experience while avoiding operational service pressure on the dispatch vehicle and ensuring the reasonable allocation of operational service scheduling work.

[0058] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0059] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0060] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0061] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0062] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0063] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0064] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0065] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. The vehicle operation service management system based on the Internet of Vehicles is characterized by: Including vehicle operation scoring module, vehicle operation interruption module, and service scheduling module; The vehicle operation scoring module is used to control the operation vehicle in the passenger-carrying state, obtain the vehicle operation log of the operation vehicle every t time, and dynamically adjust the acquisition time of the vehicle operation log; The vehicle operation interruption module is used to determine whether the operation of the operating vehicle needs to be interrupted according to the comparison result between the operation service management value of the operating vehicle and its threshold value; The service scheduling module selects a scheduled vehicle within the operation scheduling range of the interrupted vehicle, and arranges the scheduled vehicle to continue to provide operation services to passengers on the interrupted vehicle; The operation service management value of an operating vehicle is obtained in the following way: obtain s vehicle operation logs of the operating vehicle before the current system time, sort all vehicle operation logs in the order of the operation log time, calculate the time difference between the operation log times of two adjacent vehicle operation logs after sorting, and obtain the log acquisition interval, sum up all log acquisition intervals and take the average to obtain the average log acquisition interval, and mark it as LGB, sum up the vehicle operation scores of all vehicle operation logs to obtain the total vehicle operation score, and mark it as TFE, and use the formula The operation service management value ESW of the operating vehicle is obtained, where a1 is the average log acquisition interval coefficient and a2 is the vehicle operation total score coefficient; Select a selected dispatch vehicle within the operational dispatch range of the interrupted vehicle, and arrange the selected dispatch vehicle to continue to provide operational services to the passengers on the interrupted vehicle. Specifically, draw a circle with a preset radius with the location of the interrupted vehicle as the center to obtain the operational dispatch range, and mark the remaining operating vehicles without passengers in the operational dispatch range as pre-selected dispatch vehicles; When the operating vehicle completes the passenger operating service work, it generates the operating service completion record of the operating vehicle and the passenger operating service experience record. The operating service completion record of the operating vehicle includes the operating service duration and operating service distance, and the passenger operating service experience record includes the service experience duration and service experience distance; Passengers on the interrupted operating vehicles are marked as dispatching passengers, and the average service experience length and average service experience distance of the dispatching passengers are obtained and marked as [A1, A2], where A1 is the average service experience length of the dispatching passengers and A2 is the average service experience distance of the dispatching passengers. The average operation service length and average operation service distance of the pre-selected dispatching vehicles are obtained and marked as [B1, B2], where B1 is the average operation service length of the pre-selected dispatching vehicles and B2 is the average operation service distance of the pre-selected dispatching vehicles. The cosine similarity algorithm is used to calculate the operation adaptation value of the dispatching passengers and the pre-selected dispatching vehicles, and marked as LDX; The distance difference between the position of the pre-selected dispatched vehicle and the position of the interrupted operation vehicle is calculated to obtain the dispatch distance, which is marked as FRC. Get the dispatch recommendation value KHZ of the pre-selected dispatch vehicle, where b1 is the operation adaptation value coefficient and b2 is the dispatch distance coefficient; The pre-selected dispatch vehicle with the largest dispatch recommendation value is marked as the selected dispatch vehicle. The selected dispatch vehicle drives to the location of the interrupted operation vehicle, and the passengers on the interrupted operation vehicle are arranged on the selected dispatch vehicle. The selected dispatch vehicle continues to provide operation services to the passengers. The average service experience length of the dispatched passengers is obtained by: obtaining all operation service experience records of the dispatched passengers before the current time of the system, summing up the service experience durations of the operation service experience records and taking the average, to obtain the average service experience length of the dispatched passengers; The average service experience distance of the dispatched passengers is obtained by: obtaining all operation service experience records of the dispatched passengers before the current time of the system, summing up the service experience distances of the operation service experience records and taking the average, to obtain the average service experience distance of the dispatched passengers; The average operation service length of the pre-selected dispatch vehicle is obtained by the following method: obtaining all operation service completion records of the pre-selected dispatch vehicle before the current system time, summing up the operation service lengths of the operation service completion records and taking the average, to obtain the average operation service length of the pre-selected dispatch vehicle; The average operation service distance of the pre-selected dispatch vehicle is obtained by the following method: obtaining all operation service completion records of the pre-selected dispatch vehicle before the current time of the system, summing up the operation service distances of the operation service completion records and taking the average, and obtaining the average operation service distance of the pre-selected dispatch vehicle; The vehicle operation score of the vehicle operation log is obtained by: obtaining the driver driving characteristic information and the vehicle running characteristic information of the operating vehicle within a time period of t, and using the driver driving characteristic information and the vehicle running characteristic information as input data of the vehicle operation scoring model to obtain the vehicle operation score; The driver's driving characteristic information includes the number of times the driver is emotionally agitated. The number of times the driver is emotionally agitated can be obtained in the following way: observe the driver's facial expressions in real time through the camera inside the operating vehicle, and match the driver's facial expressions with the driving expression library in real time. When the driver's facial expressions match the excited facial expressions in the driver's expression library, the number of times the driver is emotionally agitated is increased by one.

2. The vehicle operation service management system based on the Internet of Vehicles according to claim 1 is characterized in that: The vehicle operation log includes the vehicle operation score and operation log time.

3. The vehicle operation service management system based on the Internet of Vehicles according to claim 1, characterized in that: The vehicle operation scoring model is constructed in the following way: the driver's driving characteristic information and the vehicle's driving characteristic information are packaged into a vehicle operation characteristic information group, a plurality of vehicle operation characteristic information groups are obtained, the vehicle operation characteristic information groups are used as training data, and a vehicle operation score is assigned to the training data. The value range of the vehicle operation score is (0-5), and the training data is divided into a training set and a validation set according to a preset ratio. The training set and the validation set are iteratively trained with a neural network. After the training is completed, a vehicle operation scoring model is obtained. The closer the vehicle operation score is to 5, the more the driver behavior and the vehicle driving behavior of the vehicle comply with the vehicle operation service regulations. The closer the vehicle operation score is to 0, the less the driver behavior and the vehicle driving behavior of the vehicle comply with the vehicle operation service regulations.

4. The vehicle operation service management system based on the Internet of Vehicles according to claim 1, characterized in that: Dynamically adjust the acquisition time of the vehicle operation log, specifically: set the vehicle operation threshold score, when the vehicle operation score of the vehicle operation log is greater than or equal to the vehicle operation threshold score, keep acquiring the vehicle operation log of the operating vehicle for a period of t; When the vehicle operation score of the vehicle operation log is less than the vehicle operation threshold score, the vehicle operation score is calculated by ratio with the vehicle operation threshold score to obtain the log acquisition index SK. SK Duration: Get the vehicle operation log of the operating vehicle.

5. The vehicle operation service management system based on the Internet of Vehicles according to claim 1, characterized in that: According to the comparison result of the operation service management value of the operating vehicle and its threshold, it is determined whether the operation of the operating vehicle needs to be interrupted, specifically: the operation service management threshold is set, and when the operation service management value of the operating vehicle is greater than or equal to the operation service management threshold, no corresponding processing is performed; When the operation service management value of an operating vehicle is less than the operation service management threshold, the operating vehicle is marked as an interrupted operation vehicle and cannot accept operation services within T time, and a warning message is sent to the on-board terminal of the operating vehicle.

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