Risk control method based on dangerous driving of driver

Abstract

The invention provides a risk control method based on dangerous driving of a driver, and the method comprises the following steps: S1, executing a task at fixed time every day, and scanning historical dangerous driving behavior data; s2, calculating the collected historical dangerous driving slide data through a risk control strategy algorithm to obtain three levels of low risk, medium risk and high risk of dangerous driving, and performing violation warning, propaganda and education task issuing and scheduling forbidding disposal on a driver; s3, transmitting the data for performing violation warning on the driver, issuing propaganda and education tasks and scheduling forbidding disposal in the step S2 to a driver end, so that the driver can conveniently perform lookup and operation; through risk control strategy algorithm calculation, the problem of lack of dangerous driving behavior identification, the problem of lack of automatic dangerous driving identification and driver disposal and the problem of lack of dangerous driving risk grade division can be effectively solved.

Description

Technical Field

[0001] The present invention relates to the field of mobile Internet travel risk control technology, and in particular to a risk control method based on dangerous driving of drivers. Background Art

[0002] A designated driver is a professional driver who drives the car to a designated location and charges a certain fee when the car owner is unable to drive to the destination by himself. This is commonly used in the catering industry. Car owners go to restaurants to dine and drink, and because they cannot drive after drinking, other people drive for them.

[0003] There is no restriction on the dangerous driving behavior of designated drivers at present. There are already designated drivers who engage in dangerous driving behavior during driving. The data on the dangerous driving behavior of designated drivers can be collected, but there is no mature strategy to analyze and count the existing dangerous driving behavior data to define what circumstances are dangerous driving. There is a lack of risk level classification for dangerous driving scenarios, and there is no corresponding online process for handling drivers who drive dangerously. Therefore, a risk control method based on dangerous driving of drivers is proposed. Summary of the invention

[0004] In view of this, an embodiment of the present invention hopes to provide a risk control method based on dangerous driving of the driver to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial option.

[0005] The technical solution of the embodiment of the present invention is implemented as follows: a risk control method based on dangerous driving of a driver comprises the following steps:

[0006] S1. Daily scheduled task execution, scanning historical data of dangerous driving behaviors;

[0007] S2. Calculate the collected historical dangerous driving position data through the risk control strategy algorithm to obtain three levels of dangerous driving risk: low, medium and high risk, and issue violation warnings to drivers, issue publicity and education tasks, and dispatch bans;

[0008] S3, transmits the data of warning drivers of violations, issuing education tasks and dispatching bans in S2 to the driver side, so that the driver can check and operate it conveniently.

[0009] In some embodiments, in S1, the various dangerous driving behavior data are sudden stops, sudden acceleration, sharp turns, speeding and distracted driving.

[0010] In some embodiments, in S2, the risk control strategy algorithm counts the driver's most recent 10 designated driver order records;

[0011] If ≥5 dangerous driving behaviors occur, such as sudden stops, sudden acceleration, sharp turns, and speeding;

[0012] If there are ≥3 dangerous driving behaviors, such as distracted driving;

[0013] Then the driver is at risk of low-level dangerous driving.

[0014] In some embodiments, in S2, the risk control strategy algorithm counts the driver's last 24-hour designated driving order records;

[0015] If there are ≥5 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding;

[0016] If there are ≥3 dangerous driving behaviors, such as distracted driving;

[0017] Then the driver is at risk of medium-level dangerous driving.

[0018] In some embodiments, in S2, the risk control strategy algorithm counts the driver's last 24-hour designated driving order records;

[0019] If there are ≥2 dangerous driving behaviors, such as distracted driving, sudden stops, sudden accelerations, sharp turns, and speeding, and there is ≥1 accident report record, then the driver is at risk of high-level dangerous driving.

[0020] In some embodiments, in S2, for the three levels of low, medium, and high risks of dangerous driving, if the same level of risk is repeatedly hit within 14 days, no repeated violation notices will be issued to the driver.

[0021] In some embodiments, for the low-level risk of dangerous driving, a warning of low-level dangerous driving violation needs to be issued to the driver. At this time, the driver will receive a voice broadcast of dangerous driving, warning the driver that there has been dangerous driving behavior recently, and asking the driver to standardize driving behavior and ensure service quality.

[0022] In some embodiments, for the medium-level risk of dangerous driving, a warning of medium-level dangerous driving violation needs to be issued to the driver, and an education task needs to be issued to the driver. The education task includes an education course and an exam;

[0023] When the driver receives the education task, the driver cannot drive out for work and must study the education course online and participate in the exam;

[0024] If the exam score is unqualified, repeat the study and exam;

[0025] If the exam is passed, the driver can continue to drive out for work.

[0026] In some embodiments, for the high-level risk of dangerous driving, a warning of high-level dangerous driving violation needs to be issued to the driver. At this time, the driver will receive a dispatching ban, and the duration of the ban is 3 days. The driver cannot drive out for work during the dispatching ban.

[0027] In some embodiments, for the high - level risk of dangerous driving, when a driver receives a high - level violation of dangerous driving, the driver can file an online appeal against the violation, fill in the reasons for the appeal and screenshots. After the driver submits, the customer service reviews the driver's appeal content.

[0028] If the appeal is approved, the driver's dispatch ban will be lifted.

[0029] If the appeal is not approved, the ban status will continue to be maintained.

[0030] Due to the above - mentioned technical solutions adopted in the embodiments of the present invention, it has the following advantages:

[0031] Through the calculation of the risk control strategy algorithm, the present invention can effectively solve the problems of lack of recognition of dangerous driving behaviors, lack of automatic recognition of dangerous driving and handling of drivers, and lack of risk level division for dangerous driving.

[0032] The above summary is only for the purpose of the specification and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present invention will be readily apparent by reference to the drawings and the following detailed description. Brief Description of the Drawings

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0034] Figure 1 It is a flowchart of the present invention. Detailed Embodiments

[0035] In the following, only some exemplary embodiments are briefly described. As those skilled in the art can recognize, the described embodiments can be modified in various different ways without departing from the spirit or scope of the present invention. Therefore, the drawings and the description are considered to be exemplary in nature rather than restrictive.

[0036] It should be noted that terms such as "first", "second", "symmetric", "array", etc. are only used for the purpose of distinguishing descriptions and position descriptions, and should not be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, those defined with features such as "first", "symmetric", etc. may explicitly or implicitly include one or more of such features; similarly, when the quantity of certain features is not limited by words such as "two", "three", etc., it should be noted that such features also explicitly or implicitly include one or more feature quantities;

[0037] In the present invention, unless otherwise clearly specified and defined, terms such as "install", "connect", "fix", etc. should be understood in a broad sense; for example, it may be a fixed connection, a detachable connection, or integrally formed; it may be a mechanical connection, a direct connection, a welding connection, or an indirect connection through an intermediate medium, and may be the communication inside two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the accompanying drawings of the specification and in combination with specific circumstances.

[0038] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0039] Embodiment 1

[0040] As Figure 1 shown, the embodiment of the present invention provides a risk control method based on dangerous driving of drivers, including the following steps:

[0041] S1. Execute a daily scheduled task to scan historical data of various dangerous driving behaviors;

[0042] S2. Calculate three levels of low, medium, and high risks of dangerous driving through a risk control strategy algorithm for the collected historical data of various dangerous driving behaviors, and conduct violation warnings, issue education tasks, and dispatching bans on drivers;

[0043] S3. Transmit the data of violation warnings, issuing education tasks, and dispatching bans on drivers in S2 to the driver side for the driver to view and operate.

[0044] In this embodiment, specifically, in S1, the data of various dangerous driving behaviors are sudden stops, sudden accelerations, sharp turns, speeding, and distracted driving.

[0045] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's last 10 driving order records;

[0046] If there are ≥5 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding;

[0047] If there are ≥3 dangerous driving behaviors, such as distracted driving;

[0048] Then the driver hits the low-level risk of dangerous driving.

[0049] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's last 24-hour record of designated driving orders;

[0050] If there are ≥5 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding;

[0051] If there are ≥3 dangerous driving behaviors, such as distracted driving;

[0052] Then the driver hits the medium-level risk of dangerous driving.

[0053] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's last 24-hour record of designated driving orders;

[0054] If there are ≥2 dangerous driving behaviors, such as distracted driving, sudden stops, sudden accelerations, sharp turns, and speeding, and there is ≥1 accident report record, then the driver hits the high-level risk of dangerous driving.

[0055] In this embodiment, specifically, in S2, for the three levels of low, medium, and high risks of dangerous driving, if the same-level risk is repeatedly hit within 14 days, no violation will be repeatedly issued to the driver.

[0056] In this embodiment, specifically, for the low-level risk of dangerous driving, a low-level violation warning for dangerous driving needs to be issued to the driver. At this time, the driver will receive a voice broadcast for dangerous driving, warning the driver of recent dangerous driving behaviors and asking the driver to standardize driving behaviors to ensure service quality.

[0057] In this embodiment, specifically, for the medium-level risk of dangerous driving, a medium-level violation warning for dangerous driving needs to be issued to the driver, and an education task needs to be issued to the driver. The education task includes an education course and an exam;

[0058] When the driver receives the education task, the driver cannot go out to work and must study the education course online and participate in the exam;

[0059] If the exam score is unqualified, repeat the study and exam;

[0060] If the exam is passed, the driver can continue to go out to work.

[0061] In this embodiment, specifically, for the high-level risk of dangerous driving, a high-level violation warning for dangerous driving needs to be issued to the driver. At this time, the driver will receive a dispatching ban disposal, and the disposal duration is 3 days. The driver cannot go out to work during the dispatching ban disposal period.

[0062] In this embodiment, specifically, for high-level risks of dangerous driving, when a driver receives a high-level violation of dangerous driving, the driver can file an online appeal against the violation, fill in the reasons for the appeal and attach screenshots. After the driver submits the appeal, the customer service reviews the content of the driver's appeal.

[0063] If the appeal is approved, the driver's dispatch ban will be lifted.

[0064] If the appeal is not approved, the ban will continue to be in effect.

[0065] Embodiment Two

[0066] As Figure 1 shown, an embodiment of the present invention provides a risk control method based on a driver's dangerous driving, including the following steps:

[0067] S1. Execute a daily scheduled task to scan historical data of various dangerous driving behaviors.

[0068] S2. Calculate three levels of low, medium, and high risks of dangerous driving for the collected historical dangerous driving behavior data through a risk control strategy algorithm, and issue a violation warning, assign an education task, and impose a dispatch ban on the driver.

[0069] S3. Transmit the data of issuing a violation warning, assigning an education task, and imposing a dispatch ban on the driver in S2 to the driver's terminal for the driver to view and operate.

[0070] In this embodiment, specifically, in S1, the data of various dangerous driving behaviors are sudden stops, sudden accelerations, sharp turns, speeding, and distracted driving.

[0071] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's last 10 driving order records.

[0072] If there are 5 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding;

[0073] If there are 3 dangerous driving behaviors, such as distracted driving;

[0074] Then the driver is identified as having a low-level risk of dangerous driving.

[0075] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's driving order records in the last 24 hours.

[0076] If there are 5 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding;

[0077] If there are 3 dangerous driving behaviors, such as distracted driving;

[0078] Then the driver is identified as having a medium-level risk of dangerous driving.

[0079] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's order records for designated driving in the most recent 24 hours.

[0080] If there are 2 dangerous driving behaviors, such as distracted driving, sudden stops, sudden accelerations, sharp turns, and speeding, and there is 1 claim record, then the driver is identified as having a high - level risk of dangerous driving.

[0081] In this embodiment, specifically, in S2, for the three levels of low, medium, and high risks of dangerous driving, if the same - level risk is repeatedly identified within 14 days, no repeated violation notice will be issued to the driver.

[0082] In this embodiment, specifically, for the low - level risk of dangerous driving, a low - level violation warning for dangerous driving needs to be issued to the driver. At this time, the driver will receive a voice broadcast about dangerous driving, warning the driver that dangerous driving has occurred recently and asking the driver to standardize driving behavior to ensure service quality.

[0083] In this embodiment, specifically, for the medium - level risk of dangerous driving, a medium - level violation warning for dangerous driving needs to be issued to the driver, and an education task needs to be assigned to the driver. The education task includes an education course and an exam.

[0084] When the driver's end receives the education task, the driver cannot go out to work and must study the education course online and participate in the exam.

[0085] If the exam score is unqualified, the driver needs to repeat the study and the exam.

[0086] If the exam is passed, the driver can continue to go out to work.

[0087] In this embodiment, specifically, for the high - level risk of dangerous driving, a high - level violation warning for dangerous driving needs to be issued to the driver. At this time, the driver will receive a dispatching ban, and the ban duration is 3 days. The driver cannot go out to work during the dispatching ban.

[0088] In this embodiment, specifically, for the high - level risk of dangerous driving, when the driver receives a high - level violation notice for dangerous driving, the driver can file an online appeal against the violation, fill in the reason for the appeal and attach screenshots. After the driver submits, the customer service will review the driver's appeal content.

[0089] If the appeal is approved, the dispatching ban on the driver will be lifted.

[0090] If the appeal is not approved, the ban status will continue.

[0091] Embodiment Three

[0092] As Figure 1 shown, the embodiment of the present invention provides a risk control method based on a driver's dangerous driving, including the following steps:

[0093] S1. Execute daily scheduled tasks to scan historical data on various dangerous driving behaviors;

[0094] S2. Calculate the three levels of low, medium, and high risks of dangerous driving for the collected historical dangerous driving behavior data through a risk control strategy algorithm, and conduct violation warnings, issue education tasks, and dispatch bans to the drivers;

[0095] S3. Transmit the data on violation warnings, issue of education tasks, and dispatch bans to the drivers in S2 to the driver side for the drivers to view and operate conveniently.

[0096] In this embodiment, specifically, in S1, the data on various dangerous driving behaviors are sudden stops, sudden accelerations, sharp turns, speeding, and distracted driving.

[0097] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's last 10 driving order records;

[0098] If there are 6 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding;

[0099] If there are 4 dangerous driving behaviors, such as distracted driving;

[0100] Then the driver hits the low-level risk of dangerous driving.

[0101] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's driving order records in the last 24 hours;

[0102] If there are 6 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding;

[0103] If there are 4 dangerous driving behaviors, such as distracted driving;

[0104] Then the driver hits the medium-level risk of dangerous driving.

[0105] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's driving order records in the last 24 hours;

[0106] If there are 3 dangerous driving behaviors, such as distracted driving, sudden stops, sudden accelerations, sharp turns, and speeding, and there are 2 accident reporting records, then the driver hits the high-level risk of dangerous driving.

[0107] In this embodiment, specifically, in S2, for the three levels of low, medium, and high risks of dangerous driving, if the same level of risk is repeatedly hit within 14 days, no repeated violation notices will be issued to the driver.

[0108] In this embodiment, specifically, for the low-level risk of dangerous driving, a warning of low-level violation of dangerous driving needs to be issued to the driver. At this time, the driver will receive a voice broadcast of dangerous driving, warning the driver that dangerous driving behavior has occurred recently, and asking the driver to standardize driving behavior to ensure service quality.

[0109] In this embodiment, specifically, for the medium-level risk of dangerous driving, a warning of medium-level violation of dangerous driving needs to be issued to the driver, and an education task needs to be issued to the driver. The education task includes an education course and an exam.

[0110] When the driver's end receives the education task, the driver cannot go out to work and must study the education course online and participate in the exam.

[0111] If the exam result is unqualified, the driver needs to repeat the study and exam.

[0112] If the driver passes the exam, the driver can continue to go out to work.

[0113] In this embodiment, specifically, for the high-level risk of dangerous driving, a warning of high-level violation of dangerous driving needs to be issued to the driver. At this time, the driver will receive a dispatching ban disposal for 3 days, and the driver cannot go out to work during the dispatching ban disposal period.

[0114] In this embodiment, specifically, for the high-level risk of dangerous driving, when the driver receives a high-level violation of dangerous driving, the driver can file an online appeal against the violation, fill in the reason for the appeal and screenshots. After the driver submits, the customer service reviews the driver's appeal content.

[0115] If the appeal is approved, the dispatching ban disposal for the driver will be lifted.

[0116] If the appeal is not approved, the ban status will continue.

[0117] Embodiment 4

[0118] As Figure 1 shown, the embodiment of the present invention provides a risk control method based on a driver's dangerous driving, including the following steps:

[0119] S1. Execute a daily scheduled task to scan historical data of various dangerous driving behaviors;

[0120] S2. Calculate three levels of low, medium, and high risks of dangerous driving for the collected historical data of various dangerous driving behaviors through a risk control strategy algorithm, and issue violation warnings, education tasks, and dispatching ban disposals to the driver.

[0121] S3. Transmit the data of the violation warning, education task, and dispatching ban disposal for the driver in S2 to the driver's end for the driver to view and operate.

[0122] In this embodiment, specifically, in S1, the data of various dangerous driving behaviors are emergency stopping, rapid acceleration, sharp turning, speeding, and distracted driving.

[0123] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's last 10 driving orders records;

[0124] If there are 7 dangerous driving behaviors, such as emergency stopping, rapid acceleration, sharp turning, and speeding;

[0125] If there are 5 dangerous driving behaviors, such as distracted driving;

[0126] Then the driver hits the low-level risk of dangerous driving.

[0127] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's driving orders records in the last 24 hours;

[0128] If there are 7 dangerous driving behaviors, such as emergency stopping, rapid acceleration, sharp turning, and speeding;

[0129] If there are 5 dangerous driving behaviors, such as distracted driving;

[0130] Then the driver hits the medium-level risk of dangerous driving.

[0131] In this embodiment, specifically, in S2, the risk control strategy algorithm counts the driver's driving orders records in the last 24 hours;

[0132] If there are 4 dangerous driving behaviors, such as distracted driving, emergency stopping, rapid acceleration, sharp turning, and speeding, and there are 3 accident reporting records, then the driver hits the high-level risk of dangerous driving.

[0133] In this embodiment, specifically, in S2, for the three levels of low, medium, and high risks of dangerous driving, if the same-level risk is repeatedly hit within 14 days, the violation will not be repeatedly issued to the driver.

[0134] In this embodiment, specifically, for the low-level risk of dangerous driving, a low-level violation warning of dangerous driving needs to be issued to the driver. At this time, the driver will receive a voice broadcast of dangerous driving, warning the driver that there has been a recent dangerous driving behavior, and asking the driver to standardize driving behavior and ensure service quality.

[0135] In this embodiment, specifically, for the medium-level risk of dangerous driving, a medium-level violation warning of dangerous driving needs to be issued to the driver, and an education task needs to be issued to the driver. The education task includes an education course and an exam;

[0136] When the driver receives the education task, the driver cannot go out to work and must study the education course online and participate in the exam;

[0137] If the exam results are unqualified, repeat the study and exam;

[0138] Only if the exam is passed can one continue to drive a vehicle for work.

[0139] In this embodiment, specifically, for the high-level risk of dangerous driving, a high-level violation warning for dangerous driving needs to be issued to the driver. At this time, the driver will receive a dispatching ban disposal for 3 days, and the driver cannot drive a vehicle for work during the dispatching ban disposal period.

[0140] In this embodiment, specifically, for the high-level risk of dangerous driving, after the driver receives a high-level violation of dangerous driving, the driver can file an online appeal against the violation, fill in the reasons for the appeal and screenshots. After the driver submits, the customer service reviews the driver's appeal content;

[0141] If the appeal is approved, the dispatching ban disposal for the driver will be lifted;

[0142] If the appeal is not approved, the ban status will continue to be maintained.

[0143] As described above, only the specific implementation manners of the present invention are provided, but the protection scope of the present invention is not limited thereto. Any person skilled in the art in the technical field disclosed by the present invention can easily think of various changes or substitutions within the technical scope disclosed by the present invention, and these should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claimed rights.

Claims

1. A risk control method based on a driver's dangerous driving, characterized in that, It includes the following steps: S1. Execute daily scheduled tasks to scan historical data of various dangerous driving behaviors; S2. Calculate three levels of low, medium, and high risks of dangerous driving for the collected historical dangerous driving behavior data through a risk control strategy algorithm, and conduct violation warnings, issue education tasks, and dispatch bans for drivers; S3. Transmit the data of violation warnings, issuing education tasks, and dispatch bans for drivers in S2 to the driver side for the driver to view and operate conveniently.

2. The risk control method based on dangerous driving of drivers according to claim 1, wherein: In S1, the various dangerous driving behavior data are sudden stops, sudden accelerations, sharp turns, speeding, and distracted driving.

3. The risk control method based on the driver's dangerous driving according to claim 1, wherein: In S2, the risk control strategy algorithm counts the driver's recent 10 driving order records; If there are ≥5 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding; If there are ≥3 dangerous driving behaviors, such as distracted driving; Then the driver is hit with a low-level risk of dangerous driving.

4. The risk control method based on dangerous driving of drivers according to claim 1, characterized in that: In S2, the risk control strategy algorithm counts the driver's recent 24-hour driving order records; If there are ≥5 dangerous driving behaviors, such as sudden stops, sudden accelerations, sharp turns, and speeding; If there are ≥3 dangerous driving behaviors, such as distracted driving; Then the driver is hit with a medium-level risk of dangerous driving.

5. The risk control method based on drivers' dangerous driving according to claim 1, wherein: In S2, the risk control strategy algorithm counts the driver's recent 24-hour driving order records; If there are ≥2 dangerous driving behaviors, such as distracted driving, sudden stops, sudden accelerations, sharp turns, and speeding, and there is ≥1 accident report record, then the driver is hit with a high-level risk of dangerous driving.

6. The risk control method based on dangerous driving of drivers according to claim 1, characterized in that: In S2, for the three levels of low, medium, and high risks of dangerous driving, if the same level of risk is repeatedly hit within 14 days, no repeated violation will be issued to the driver.

7. The risk control method based on dangerous driving of drivers according to claim 3, wherein: For the low-level risk of dangerous driving, a low-level violation warning for dangerous driving needs to be issued to the driver. At this time, the driver will receive a voice broadcast of dangerous driving, warning the driver of recent dangerous driving behaviors and asking the driver to standardize driving behaviors to ensure service quality.

8. The risk control method based on dangerous driving of drivers according to claim 4, characterized in that: For the medium-level risk of dangerous driving, a medium-level violation warning for dangerous driving needs to be issued to the driver, and an education task needs to be issued to the driver. The education task includes an education course and an exam; When the driver side receives the education task, the driver cannot go out to work and must study the education course online and participate in the exam; If the exam result is unqualified, repeat the study and exam; If the exam is passed, the driver can continue to go out to work.

9. The risk control method based on drivers' dangerous driving according to claim 5, wherein: For the high-level risk of dangerous driving, a high-level violation warning for dangerous driving needs to be issued to the driver. At this time, the driver will receive a dispatch ban, and the disposal duration is 3 days. The driver cannot go out to work during the dispatch ban.

10. The risk control method based on dangerous driving of drivers according to claim 9, wherein: For the high-level risk of dangerous driving, when the driver receives a high-level violation of dangerous driving, the driver can file an online appeal for the violation, fill in the reason for the appeal and screenshots. After the driver submits, the customer service reviews the driver's appeal content; If the appeal is approved, the driver's dispatch ban will be lifted; If the appeal is not approved, the ban status will continue to be maintained.

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