Online car-hailing driver auditing method, device and equipment and storage medium

Abstract

The invention relates to an online car-hailing driver auditing method, device and equipment and a storage medium. The main technical scheme comprises the steps of performing driver qualification auditing based on driver information; if the qualification of the driver is approved, configuring a vehicle condition familiarity task, and receiving a vehicle condition familiarity task result returned by the driver, the vehicle condition familiarity task being used for evaluating the degree of familiarity of the driver to the vehicle; if it is determined that the result of the vehicle condition familiarity task is passing, historical order route data is acquired, and a simulation road test task is generated based on the historical order route data; and receiving driving data generated by the driver based on the simulation road test task, and determining an auditing result based on the driving data. According to the invention, the accuracy, systematicness and comprehensiveness of online car-hailing driver auditing can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of online car-hailing driver review, and in particular to an online car-hailing driver review method, device, equipment and storage medium. Background Art

[0002] With the booming online ride-hailing industry, the safety of new drivers and the quality of service have become the focus of the industry. However, the technical solutions currently adopted by most online ride-hailing platforms for the admission of new drivers have obvious shortcomings. These platforms usually rely on simple online registration reviews and brief online training to allow new drivers to accept orders. In this process context, the review standards are loose, lacking depth and comprehensiveness, and it is difficult to effectively eliminate potential unqualified drivers. The omissions in this access mechanism not only reduce the travel experience of passengers, but also bury safety hazards and expose passengers to unnecessary risks.

[0003] The technical solutions adopted by existing online ride-hailing platforms for new driver admission are mainly based on online registration, information review, brief online training and immediate order acceptance. The background of this process is to quickly respond to market demand and lower the threshold for new drivers to join in order to promote the rapid development of the platform. However, this technical solution has significant defects. First, the review process is too simplified, making it difficult to effectively identify the true qualifications and background of new drivers, which poses a safety hazard to the operation of the platform. Secondly, the lack of assessment links for actual driving ability and service level makes it impossible to fully evaluate the driving skills and service attitude of new drivers. This not only affects the passengers' riding experience, but also invisibly increases the safety risks of passengers. Therefore, a more rigorous and systematic online ride-hailing driver review method is urgently needed to solve the above problems. Summary of the invention

[0004] Based on this, the present application provides a method, device, equipment and storage medium for reviewing online car-hailing drivers to solve the problems existing in the prior art.

[0005] In a first aspect, a method for reviewing online car-hailing drivers is provided, the method comprising:

[0006] Conduct driver qualification review based on driver information;

[0007] If the driver's qualification review is passed, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received, wherein the vehicle condition familiarization task is used to evaluate the driver's familiarity with the vehicle;

[0008] If it is determined that the result of the vehicle condition familiarization task is passed, obtaining historical order route data, and generating a simulated road test task based on the historical order route data;

[0009] Receive driving data generated by the driver based on the simulated road test task, and determine the review result based on the driving data.

[0010] According to an achievable method in an embodiment of the present application, the driver qualification review based on the driver information includes:

[0011] Receive basic registration information input by the driver, and conduct a preliminary qualification review based on the basic registration information;

[0012] If the preliminary review is passed, the professional qualification information is obtained to conduct a professional qualification review on the driver.

[0013] According to an achievable method in an embodiment of the present application, if the driver's qualification review is passed, a vehicle condition familiarization task is configured, and a vehicle condition familiarization task result returned by the driver is received, including:

[0014] If the driver's qualification review is passed, a vehicle condition familiarization task is configured, and target vehicle parts are randomly generated based on the vehicle condition familiarization task;

[0015] Sending the target vehicle part to the driver and recording the sending time;

[0016] The target data sent by the driver based on the target vehicle component is received, and a receiving time is recorded, and an interval time is determined based on the receiving time and the sending time.

[0017] According to an achievable method in an embodiment of the present application, if the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including:

[0018] If the target data is inconsistent with the vehicle component information, or the interval time is greater than or equal to a preset threshold, it is determined that the vehicle condition familiarization task has failed;

[0019] If the target data is consistent with the vehicle component information and the interval time is less than a preset threshold, it is determined that the vehicle condition familiarization task is passed, the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data.

[0020] According to an achievable method in an embodiment of the present application, if the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including:

[0021] If the vehicle condition familiarization task is passed, historical order route data is obtained, and the historical order route data includes one or more of a high-speed route, an urban route, a station route, a suburban route, a long-distance route, and a short-distance route;

[0022] determining one or more target routes based on the historical order route data;

[0023] A simulated road test task is generated based on the target route.

[0024] According to an achievable method in an embodiment of the present application, receiving the driving data generated by the driver based on the simulated road test task, and determining the review result based on the driving data, includes:

[0025] receiving driving data generated by the driver based on the simulated road test task, the driving data including speed data, acceleration data, driving status data and time data generated by the driver passing through the target route;

[0026] determining a first score of the driver based on the speed data, determining a second score of the driver based on the acceleration data, determining a third score of the driver based on the driving state data, and determining a fourth score of the driver based on the time data;

[0027] A total driving score is determined based on the first score, the second score, the third score and the fourth score, and a review result is determined based on the total driving score.

[0028] According to an achievable method in an embodiment of the present application, determining the audit result based on the driving data includes:

[0029] If the driving data meets the preset standards, the review is confirmed to be passed and the driver is allowed to drive;

[0030] If the driving data does not meet the preset standards, the review is determined to be unsuccessful and the driver is stopped from leaving the vehicle.

[0031] In a second aspect, a device for reviewing online car-hailing drivers is provided, the device comprising:

[0032] Review module: used to review driver qualifications based on driver information;

[0033] Configuration module: configured to configure a vehicle condition familiarization task if the driver's qualification review is passed, and receive the vehicle condition familiarization task result returned by the driver, wherein the vehicle condition familiarization task is used to evaluate the driver's familiarity with the vehicle;

[0034] Simulation module: for obtaining historical order route data if it is determined that the result of the vehicle condition familiarization task is passed, and generating a simulated road test task based on the historical order route data;

[0035] Confirmation module: used to receive the driving data generated by the driver based on the simulated road test task, and determine the review result based on the driving data.

[0036] In a third aspect, a computer device is provided, comprising:

[0037] at least one processor; and

[0038] a memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores computer instructions that can be executed by the at least one processor, and the computer instructions are executed by the at least one processor to enable the at least one processor to perform the method involved in the first aspect above.

[0040] In a fourth aspect, a computer-readable storage medium is provided, on which computer instructions are stored, characterized in that the computer instructions are used to enable a computer to execute the method involved in the first aspect above.

[0041] According to the technical content provided in the embodiments of the present application, the driver's qualifications are reviewed based on the driver's information. If the driver's qualifications are reviewed, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received. If the vehicle condition familiarization task result is determined to be passed, the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data. The driving data generated by the driver based on the simulated road test task is received, and the review result is determined based on the driving data. By introducing new driver registration review, vehicle condition familiarization tasks and simulated road test tasks, the entry threshold for new drivers is comprehensively improved. Through multi-dimensional review, qualified new drivers are screened out, the risk of unqualified drivers entering the market is reduced, and the accuracy of the review is improved; vehicle condition familiarization tasks are used to help new drivers quickly master vehicle operations and improve driving skills; simulated road test tasks are used to simulate the real order-taking process to comprehensively evaluate the driving ability and service level of new drivers. This application improves the accuracy, systematicness and comprehensiveness of online car-hailing driver reviews. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of a process of reviewing a driver of an online car-hailing vehicle in one embodiment;

[0043] Figure 2 A schematic diagram of a method for reviewing online car-hailing drivers in one embodiment;

[0044] Figure 3 It is a structural block diagram of a device for reviewing online car-hailing drivers in one embodiment;

[0045] Figure 4 FIG. 4 is a schematic structural diagram of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] Figure 1A flowchart of a method for reviewing online car-hailing drivers provided in an embodiment of the present application, such as Figure 1 As shown, the method may include the following steps:

[0048] Step 101: Conduct driver qualification review based on driver information.

[0049] Specifically, with the rapid development of the online car-hailing industry, ensuring the safety and service quality of new drivers has become an important part of platform operations. Traditional online car-hailing platforms mainly rely on simple registration audits and a small amount of online training for the admission of new drivers. The lack of a systematic assessment mechanism affects the safety and service experience of passengers. Therefore, a SAAS (Software as a Service)-oriented online car-hailing new driver admission assessment configuration method is developed. First, the driver qualification review is conducted based on the driver information. Combined with the new driver registration information and manual three-party employment evidence review, the content of the information that needs to be uploaded can be flexibly configured to ensure that qualified new drivers are screened out.

[0050] Step 102: If the driver's qualification review is passed, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received, wherein the vehicle condition familiarization task is used to evaluate the driver's familiarity with the vehicle.

[0051] Specifically, if the driver's qualification review is passed in step 101, a vehicle condition familiarization task is configured, which is used to evaluate the driver's familiarity with the vehicle through actual operation tasks. The operation items that need to be assessed can be flexibly configured to help new drivers quickly become familiar with vehicle performance and operation through actual operation tasks.

[0052] Step 103: If it is determined that the result of the vehicle condition familiarization task is passed, the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data.

[0053] Specifically, if the result of the vehicle familiarization task is determined to be passed in step 102, the historical order route data is obtained, and the road test question bank is generated using the historical order data to simulate the real order-taking process and comprehensively evaluate the driving ability and service level of the new driver. The total number of road tests, highways, stations, etc., as well as the route mileage, estimated completion time, etc. can be flexibly configured to generate simulated road test tasks to test the driver.

[0054] Step 104: Receive driving data generated by the driver based on the simulated road test task, and determine the review result based on the driving data.

[0055] Specifically, the driver drives based on the simulated road test task and generates formal data in real time during the driving process. The final review result, including pass or fail, is determined based on the driving data. New drivers who pass the review can use the platform to accept orders.

[0056] It can be seen that the embodiment of the present application conducts driver qualification review based on driver information. If the driver qualification review is passed, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received. If the vehicle condition familiarization task result is determined to be passed, the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data. The driving data generated by the driver based on the simulated road test task is received, and the review result is determined based on the driving data. By introducing new driver registration review, vehicle condition familiarization tasks and simulated road test tasks, the entry threshold for new drivers is comprehensively improved. Through multi-dimensional review, qualified new drivers are screened out, the risk of unqualified drivers entering the market is reduced, and the accuracy of the review is improved; vehicle condition familiarization tasks are used to help new drivers quickly master vehicle operations and improve driving skills; simulated road test tasks are used to simulate the real order-taking process to comprehensively evaluate the driving ability and service level of new drivers. This application improves the accuracy, systematicness and comprehensiveness of online car-hailing driver reviews.

[0057] In one embodiment of the present application, driver qualification review is performed based on driver information, including: receiving basic registration information input by the driver, and performing a preliminary qualification review based on the basic registration information; if the preliminary review is passed, obtaining professional qualification information to perform a professional qualification review on the driver.

[0058] Specifically, the basic registration information entered by the driver is received and a preliminary data review is conducted. If the preliminary review is passed, a manual three-party employment evidence review is conducted to ensure that the new driver has legal qualifications to work. The employment qualification information is used to conduct an employment qualification review on the driver. Through the dual review mechanism of preliminary data review and manual three-party employment evidence review, the entry threshold for new drivers is strictly controlled to ensure that each new driver has legal qualifications to work, thereby effectively improving the security of the online car-hailing platform and ensuring the travel safety and service quality of passengers.

[0059] In one embodiment of the present application, the audit result is determined based on the driving data, including: if the driving data meets the preset standards, the audit is determined to be passed and the driver is allowed to drive; if the driving data does not meet the preset standards, the audit is determined to be failed and the driver is stopped from driving.

[0060] Specifically, the system has clear driving data standards. If the driver's driving data in actual operations (such as speed control, compliance with traffic rules, etc.) meets these standards, it will be deemed to have passed the review and allowed to drive normally; conversely, if the driving data does not meet the standards, the review will fail, and the system will intercept the driver's request to drive out to ensure passenger safety and service quality.

[0061] In one embodiment of the present application, if the driver's qualifications are reviewed and approved, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received, including: if the driver's qualifications are reviewed and approved, a vehicle condition familiarization task is configured, and target vehicle parts are randomly generated based on the vehicle condition familiarization task; the target vehicle parts are sent to the driver, and the sending time is recorded; the target data sent by the driver based on the target vehicle parts is received, and the receiving time is recorded, and the interval time is determined based on the receiving time and the sending time.

[0062] Specifically, once the driver's qualifications are reviewed and approved, the system will configure a vehicle condition familiarization task for him and randomly select target vehicle parts as assessment points. By sending component information to the driver and recording the sending time, and then receiving the target data fed back by the driver and recording the receiving time, the system can calculate the interval time required for the driver to complete the task, thereby evaluating his familiarity with the vehicle. For example, if the driver's qualifications are reviewed and approved, a vehicle condition familiarization task is configured. The vehicle condition familiarization task is to familiarize the driver with the location and basic operations of emergency equipment, send information to familiarize the driver with the location and basic operations of emergency equipment, and record the sending time. The driver sends a video or photo of the location of the emergency equipment and the answer to the basic operation information, and records the receiving time and sending time to determine the interval time. If the time interval is less than the preset value and the data returned by the driver is verified, the vehicle condition familiarization task is passed.

[0063] In one embodiment of the present application, if the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including: if the target data is inconsistent with the vehicle component information, or the interval time is greater than or equal to a preset threshold, it is determined that the vehicle condition familiarization task has not passed; if the target data is consistent with the vehicle component information, and the interval time is less than the preset threshold, it is determined that the vehicle condition familiarization task has passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data.

[0064] Specifically, if the target data fed back by the driver is consistent with the vehicle component information, and the interval time to complete the task is less than the preset threshold, the vehicle condition familiarization task is determined to be passed, and then the historical order route data is obtained to prepare for the generation of the simulated road test task. If the target data is inconsistent with the vehicle component information, or the interval time is greater than or equal to the preset threshold, the vehicle condition familiarization task is determined to be failed.

[0065] The embodiments of the present application, firstly, effectively improve the driver's familiarity with vehicle components and enhance driving safety by configuring vehicle condition familiarization tasks for the driver and randomly generating target vehicle components for assessment. Secondly, the system determines the interval time for the driver to complete the task by recording the sending and receiving time, and uses this as an important indicator for evaluating the driver's familiarity, ensuring the accuracy and objectivity of the assessment. Finally, only when the vehicle condition familiarization task is passed, the system will generate a simulated road test task based on historical order route data, further screen and optimize the driver team, and improve the overall quality of service and passenger satisfaction.

[0066] In one embodiment of the present application, if the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including: if the vehicle condition familiarization task is passed, historical order route data is obtained, and the historical order route data includes one or more of expressway routes, urban routes, station routes, suburban routes, long-distance routes, and short-distance routes; one or more target routes are determined based on the historical order route data; and a simulated road test task is generated based on the target routes.

[0067] Specifically, Figure 2 As shown in the figure, after the vehicle familiarization task is passed, the system will determine the target route based on the rich historical order route data (covering a variety of route types), and then generate a simulated road test task. This process ensures the diversity and practicality of the simulated road test, and can comprehensively evaluate the driver's driving skills and ability to cope with complex road conditions. Among them, the historical order route data includes one or more of high-speed routes, urban routes, station routes, suburban routes, long-distance routes, and short-distance routes. One or more target routes are determined based on the historical order route data, and a simulated road test task is generated based on the target route.

[0068] In one embodiment of the present application, driving data generated by a driver based on a simulated road test task is received, and a review result is determined based on the driving data, including: receiving the driving data generated by the driver based on the simulated road test task, the driving data including speed data, acceleration data, driving status data and time data generated by the driver passing through the target route; determining a first score of the driver based on the speed data, determining a second score of the driver based on the acceleration data, determining a third score of the driver based on the driving status data, and determining a fourth score of the driver based on the time data; determining a total driving score based on the first score, the second score, the third score and the fourth score, and determining the review result based on the total driving score.

[0069] Specifically, the system receives the driving data of the driver in the simulated road test, including speed, acceleration, driving status and time, and scores the driver based on these data. The total driving score is determined by combining the scores of the four dimensions, and then the driver's review results are determined. This process ensures the fairness and accuracy of the review. First, the system receives the driving data generated by the driver in the simulated road test task. These data include speed data, acceleration data, driving status data and time data generated by the driver when passing the target route during driving. These data fully reflect the driver's driving behavior and the movement state of the vehicle. Next, the system will score the driver based on these data. Specifically, the system will determine the driver's first score based on the speed data, which mainly examines the driver's ability to control speed; determine the driver's second score based on the acceleration data, which reflects whether the driver's acceleration and deceleration behavior is smooth; determine the driver's third score based on the driving status data, which mainly evaluates the driver's concentration and compliance with traffic rules; finally, determine the driver's fourth score based on the time data, which mainly examines whether the driver can complete the simulated road test task within the specified time. Then, the system will combine these four scores to calculate the driver's total driving score. This total score is a quantitative reflection of the driver's comprehensive performance in the simulated road test task. Finally, the system will determine the driver's review result based on the total driving score. If the total driving score reaches or exceeds the preset standard, the driver's review result will be passed, otherwise it will be failed. Such a review process is comprehensive and objective, and can accurately evaluate the driver's driving ability and service quality.

[0070] It can be seen that the embodiment of the present application can more comprehensively and accurately evaluate the driver's driving ability and driving habits by comprehensively considering multiple dimensions such as speed data, acceleration data, driving status data and time data. This multi-dimensional evaluation method is more objective than a single indicator, reduces the subjectivity of human judgment, and improves the accuracy and reliability of the evaluation; through in-depth analysis of the driver's driving data, the system can promptly detect potential driving risks, such as speeding, sudden acceleration, distracted driving and other behaviors, and strictly screen and evaluate drivers through simulated road test tasks, which will help improve the driving safety of the entire online car-hailing industry; through simulated road test tasks, drivers can be trained and assessed, and drivers with skilled driving skills and good service attitudes can be screened out, thereby improving the quality of the entire online car-hailing service and passenger satisfaction.

[0071] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in the application, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0072] Figure 3 A schematic diagram of the structure of a network car-hailing driver review device provided in an embodiment of the present application, such as Figure 3 As shown, the device may include:

[0073] Review module 301: used to review driver qualifications based on driver information;

[0074] Configuration module 302: configured to configure a vehicle condition familiarization task if the driver's qualification review is passed, and receive the vehicle condition familiarization task result returned by the driver, wherein the vehicle condition familiarization task is used to evaluate the driver's familiarity with the vehicle;

[0075] Simulation module 303: if it is determined that the result of the vehicle condition familiarization task is passed, then the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data;

[0076] Confirmation module 304: used to receive the driving data generated by the driver based on the simulated road test task, and determine the review result based on the driving data.

[0077] In one embodiment of the present application, driver qualification review is performed based on driver information, including:

[0078] Receive the basic registration information entered by the driver and conduct a preliminary qualification review based on the basic registration information;

[0079] If the preliminary review is passed, the professional qualification information will be obtained to conduct a professional qualification review on the driver.

[0080] In one embodiment of the present application, if the driver's qualification review is passed, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received, including:

[0081] If the driver's qualifications are approved, a vehicle condition familiarization task will be configured, and target vehicle parts will be randomly generated based on the vehicle condition familiarization task;

[0082] Send the target vehicle parts to the driver and record the sending time;

[0083] The target data sent by the driver based on the target vehicle component is received, and the receiving time is recorded, and the interval time is determined based on the receiving time and the sending time.

[0084] In one embodiment of the present application, if the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including:

[0085] If the target data is inconsistent with the vehicle component information, or the interval time is greater than or equal to the preset threshold, it is determined that the vehicle condition familiarization task has failed;

[0086] If the target data is consistent with the vehicle component information and the interval time is less than the preset threshold, it is determined that the vehicle condition familiarization task has been passed, the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data.

[0087] In one embodiment of the present application, if the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including:

[0088] If the vehicle condition familiarization task is passed, the historical order route data is obtained, and the historical order route data includes one or more of high-speed routes, urban routes, station routes, suburban routes, long-distance routes, and short-distance routes;

[0089] determining one or more target routes based on historical order routing data;

[0090] Generate simulated road test tasks based on the target route.

[0091] In one embodiment of the present application, receiving driving data generated by a driver based on a simulated road test task, and determining a review result based on the driving data includes:

[0092] Receive driving data generated by the driver based on the simulated road test task, the driving data including speed data, acceleration data, driving status data and time data generated by the driver passing through the target route;

[0093] Determine a first score of the driver based on the speed data, determine a second score of the driver based on the acceleration data, determine a third score of the driver based on the driving state data, and determine a fourth score of the driver based on the time data;

[0094] A total driving score is determined based on the first score, the second score, the third score and the fourth score, and a review result is determined based on the total driving score.

[0095] In one embodiment of the present application, determining the audit result based on the driving data includes:

[0096] If the driving data meets the preset standards, the review is confirmed to be passed and the driver is allowed to drive;

[0097] If the driving data does not meet the preset standards, the review will be deemed to have failed and the driver will be stopped from leaving the vehicle.

[0098] According to the specific embodiments provided in this application, the technical solution provided in this application can have the following advantages:

[0099] By conducting driver qualification review based on driver information, if the driver qualification review is passed, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received. If the vehicle condition familiarization task result is determined to be passed, the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data. The driving data generated by the driver based on the simulated road test task is received, and the review result is determined based on the driving data. By introducing new driver registration review, vehicle condition familiarization tasks and simulated road test tasks, the entry threshold for new drivers is comprehensively raised. Through multi-dimensional review, qualified new drivers are screened out, the risk of unqualified drivers entering the market is reduced, and the accuracy of the review is improved; vehicle condition familiarization tasks are used to help new drivers quickly master vehicle operations and improve driving skills; simulated road test tasks are used to simulate the real order-taking process to comprehensively evaluate the driving ability and service level of new drivers. This application improves the accuracy, systematicness and comprehensiveness of online car-hailing driver reviews.

[0100] It is understood that the implementation of any method or product of the present application does not necessarily require all of the advantages described above to be achieved at the same time.

[0101] The same or similar parts between the above embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0102] It should be noted that the embodiments of the present application may involve the use of user data. In actual applications, user-specific personal data can be used in the scheme described in this article within the scope permitted by applicable laws and regulations, provided that the applicable laws and regulations of the country are met (for example, the user's explicit consent, effective notification to the user, and the user's explicit authorization, etc.).

[0103] According to an embodiment of the present application, the present application also provides a computer device and a computer-readable storage medium.

[0104] like Figure 4 , is a block diagram of a computer device according to an embodiment of the present application. The computer device is intended to represent various forms of digital computers or mobile devices. The digital computer may include a desktop computer, a portable computer, a workbench, a personal digital assistant, a server, a mainframe computer, and other suitable computers. The mobile device may include a tablet computer, a smart phone, a wearable device, etc.

[0105] like Figure 4As shown, the device 400 includes a computing unit 401, a ROM 402, a RAM 403, a bus 404, and an input / output (I / O) interface 405, which are connected to each other via the bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0106] The computing unit 401 can perform various processes in the method embodiment of the present application according to the computer instructions stored in the read-only memory (ROM) 402 or the computer instructions loaded from the storage unit 408 to the random access memory (RAM) 403. The computing unit 401 can be various general and / or special processing components with processing and computing capabilities. The computing unit 401 may include, but is not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. In some embodiments, the method provided in the embodiment of the present application can be implemented as a computer software program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 408.

[0107] RAM 403 may also store various programs and data required for the operation of device 400. Part or all of a computer program may be loaded and / or installed onto device 400 via ROM 802 and / or communication unit 409.

[0108] The input unit 406, output unit 407, storage unit 408 and communication unit 409 in the device 400 can be connected to the I / O interface 405. The input unit 406 can be, for example, a keyboard, a mouse, a touch screen, a microphone, etc. The output unit 407 can be, for example, a display, a speaker, an indicator light, etc. The device 400 can exchange information, data, etc. with other devices through the communication unit 409.

[0109] It should be noted that the device may also include other components necessary for normal operation, or may only include components necessary for implementing the solution of the present application, rather than all the components shown in the figure.

[0110] Various implementations of the systems and techniques described herein can be realized in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof.

[0111] The computer instructions for implementing the method of the present application can be written in any combination of one or more programming languages. These computer instructions can be provided to the computing unit 401, so that when the computer instructions are executed by the computing unit 401 such as a processor, the steps involved in the method embodiment of the present application are executed.

[0112] The computer-readable storage medium provided in the present application may be a tangible medium that may contain or store computer instructions for executing the steps involved in the method embodiments of the present application. The computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, and other forms of storage media.

[0113] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for reviewing online car-hailing drivers, characterized in that: The method includes: Conduct driver qualification review based on driver information; If the driver's qualification review is passed, a vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received, wherein the vehicle condition familiarization task is used to evaluate the driver's familiarity with the vehicle; If it is determined that the result of the vehicle condition familiarization task is passed, obtaining historical order route data, and generating a simulated road test task based on the historical order route data; Receive driving data generated by the driver based on the simulated road test task, and determine the review result based on the driving data.

2. The online car-hailing driver review method according to claim 1, characterized in that: The driver qualification review based on the driver information includes: Receive basic registration information input by the driver, and conduct a preliminary qualification review based on the basic registration information; If the preliminary review is passed, the professional qualification information is obtained to conduct a professional qualification review on the driver.

3. The online car-hailing driver review method according to claim 1, characterized in that: If the driver's qualification review is passed, the vehicle condition familiarization task is configured, and the vehicle condition familiarization task result returned by the driver is received, including: If the driver's qualification review is passed, a vehicle condition familiarization task is configured, and target vehicle parts are randomly generated based on the vehicle condition familiarization task; Sending the target vehicle part to the driver and recording the sending time; The target data sent by the driver based on the target vehicle component is received, and a receiving time is recorded, and an interval time is determined based on the receiving time and the sending time.

4. The online car-hailing driver review method according to claim 3, characterized in that: If the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including: If the target data is inconsistent with the vehicle component information, or the interval time is greater than or equal to a preset threshold, it is determined that the vehicle condition familiarization task has failed; If the target data is consistent with the vehicle component information and the interval time is less than a preset threshold, it is determined that the vehicle condition familiarization task is passed, the historical order route data is obtained, and a simulated road test task is generated based on the historical order route data.

5. The online car-hailing driver review method according to claim 1, characterized in that: If the vehicle condition familiarization task is passed, historical order route data is obtained, and a simulated road test task is generated based on the historical order route data, including: If the vehicle condition familiarization task is passed, historical order route data is obtained, and the historical order route data includes one or more of a high-speed route, an urban route, a station route, a suburban route, a long-distance route, and a short-distance route; determining one or more target routes based on the historical order route data; A simulated road test task is generated based on the target route.

6. The online car-hailing driver review method according to claim 5, characterized in that: The receiving the driving data generated by the driver based on the simulated road test task, and determining the review result based on the driving data, comprises: receiving driving data generated by the driver based on the simulated road test task, the driving data including speed data, acceleration data, driving status data and time data generated by the driver passing through the target route; determining a first score of the driver based on the speed data, determining a second score of the driver based on the acceleration data, determining a third score of the driver based on the driving state data, and determining a fourth score of the driver based on the time data; A total driving score is determined based on the first score, the second score, the third score and the fourth score, and a review result is determined based on the total driving score.

7. The online car-hailing driver review method according to claim 1, characterized in that: Determining a review result based on the driving data includes: If the driving data meets the preset standards, the review is confirmed to be passed and the driver is allowed to drive; If the driving data does not meet the preset standards, the review is determined to be unsuccessful and the driver is stopped from leaving the vehicle.

8. A device for reviewing online car-hailing drivers, characterized in that: The device includes: Review module: used to review driver qualifications based on driver information; Configuration module: configured to configure a vehicle condition familiarization task if the driver's qualification review is passed, and receive the vehicle condition familiarization task result returned by the driver, wherein the vehicle condition familiarization task is used to evaluate the driver's familiarity with the vehicle; Simulation module: for obtaining historical order route data if it is determined that the result of the vehicle condition familiarization task is passed, and generating a simulated road test task based on the historical order route data; Confirmation module: used to receive the driving data generated by the driver based on the simulated road test task, and determine the review result based on the driving data.

9. A computer device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores computer instructions that can be executed by the at least one processor, and the computer instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: The computer instructions are used to cause a computer to execute the method according to any one of claims 1 to 7.

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