CN115810264A - Traffic safety diversion method and system - Google Patents

Abstract

The invention provides a traffic safety diversion method and a system, wherein the method comprises the steps of acquiring information about potential traffic safety incidents, wherein the potential traffic safety incidents are detected by vehicles and reported to an infrastructure or detected by the infrastructure; determining traffic safety diversion directions for related vehicles affected by the potential traffic safety event, the traffic safety diversion directions including information that directs vehicles to take evasive measures against the potential traffic safety event; and sending the traffic safety diversion guide to a corresponding vehicle.

Description

Traffic safety diversion method and system

Technical Field

The invention relates to the technical field of road traffic safety, in particular to a traffic safety diversion method and a traffic safety diversion system.

Background

In recent years, with the development of technologies such as automatic driving, driving assistance, and smart cars, more and more cars are equipped with different degrees of environment sensing capability and communication interconnection capability. Nowadays, automobiles are usually configured with a plurality of different types of sensors, such as cameras, radars, lidar and the like, so that the automobiles can acquire perception information of the surrounding environment through their own on-board sensors, and support automatic driving decisions for different levels of automatic driving (L0-L5). Meanwhile, automobiles are also commonly provided with various types of communication devices, such as an LTE/5G communication module for interconnection with the cloud, a V2X communication module for V2X (also called internet of vehicles) communication, and the like.

However, there are limitations to the computational power of the onboard sensors or the vehicle itself. For an emergency or an accidental event occurring in a road traffic environment, such as a reckless driving vehicle, the current automatic driving or assistant driving may not always be able to effectively handle and cope with the emergency or the accidental event, and a potential safety hazard exists. In addition, when an emergency passing vehicle needs to be avoided, the current automatic driving or auxiliary driving lacks means for dealing with the emergency passing vehicle, and even if the vehicle is in a manual driving state, how to effectively avoid the emergency passing vehicle is often unclear so as to improve the passing efficiency of the emergency passing vehicle.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

In view of the above problems, the present invention aims to provide an improved traffic safety diversion system to further improve the safety and traffic efficiency of traffic environment.

According to an aspect of the present invention, there is provided a method for traffic safety diversion, the method comprising:

obtaining information about a potential traffic safety event detected by a vehicle and reported to or detected by an infrastructure;

determining traffic safety diversion directions for related vehicles affected by the potential traffic safety event, the traffic safety diversion directions including information that directs vehicles to take evasive measures against the potential traffic safety event; and

and sending the traffic safety diversion guide to a corresponding vehicle.

According to a further embodiment of the invention, the potential safety event is an abnormal driving behavior, and determining traffic safety diversion directions for relevant vehicles affected by the potential traffic safety event further comprises:

assessing a risk level of the abnormal driving behavior, wherein the risk level comprises at least a high risk requiring a prompt to an associated vehicle and a low risk not requiring a prompt; and

and responding to the risk level evaluation result, and determining different traffic safety diversion directions for the relevant vehicles.

According to a further embodiment of the invention, assessing the risk rating of the abnormal driving behavior further comprises:

querying historical driving behavior of the vehicle in which the abnormal driving behavior occurs based on the license plate number of the vehicle in which the abnormal driving behavior occurs.

According to a further embodiment of the present invention, inquiring the historical driving behavior of the vehicle in which the abnormal driving behavior occurs based on the license plate number of the vehicle in which the abnormal driving behavior occurs further comprises:

inquiring historical traffic violation records associated with the license plate number from the brain of the city, and determining the risk level as high risk when the historical traffic violation records exist or the number of the violation records reaches a certain threshold value; or

And if the license plate number is inquired to report different abnormal driving behavior records for many times, determining the risk level of the current abnormal driving behavior as high risk.

According to a further embodiment of the invention, the method further comprises:

in response to the risk level of the abnormal driving behavior being assessed as a high risk, identifying a vehicle in which the abnormal driving behavior occurred as a potential safety hazard vehicle;

tracking and risk evaluating the potential safety hazard vehicles in real time;

determining updated traffic safety diversion guidance according to the real-time risk assessment result; and

and triggering the updated traffic safety guide finger to the corresponding vehicle.

According to a further embodiment of the invention, the method further comprises:

and in response to the result of the real-time risk assessment being low risk, canceling the identification of the potential safety hazard vehicle and stopping real-time tracking.

According to a further embodiment of the invention, the potential safety event is an emergency transit vehicle, and determining traffic safety diversion directions for relevant vehicles affected by the potential traffic safety event further comprises:

different traffic safety diversion directions are determined for the emergency passing vehicle and other related vehicles.

According to a further embodiment of the present invention, determining different traffic safety diversion directions for the emergency passing vehicle and other related vehicles further comprises:

lane-level diversion directions are provided for the emergency passing vehicle and the other related vehicles to cause the related vehicles to move in coordination to clear a passage for rapid passage for the emergency passing vehicle.

According to a further embodiment of the invention, the method further comprises:

providing a globally optimal route plan for the emergency passing vehicle;

tracking the emergency passing vehicles in real time, and calculating the time of the emergency passing vehicles passing through each intersection based on the real-time speed and the position of the emergency passing vehicles; and

and sending a signal lamp control command to the corresponding traffic signal lamp according to the calculated time of passing each intersection.

According to another aspect of the present invention, there is provided a traffic safety diversion system, the system comprising:

an infrastructure configured to perform a traffic safety diversion method according to the invention; and

a vehicle configured to respond according to received traffic safety diversion directions.

According to a further embodiment of the invention, the infrastructure further comprises:

a wayside sensor configured to detect and/or track potential traffic safety events;

an information communication technology device configured to receive information about potential traffic safety events reported by vehicles and to send traffic safety diversion guidance to the vehicles; and

a computing unit further comprising a city brain and one or more MEC servers to determine traffic safety diversion directions for related vehicles affected by the potential traffic safety event.

According to still another aspect of the present invention, there is provided a vehicle including:

a communication device configured to receive traffic safety diversion directions from an infrastructure; and

a vehicle machine system configured to respond according to received traffic safety diversion directions.

According to a further embodiment of the invention, the vehicle further comprises:

an on-board sensor configured to detect a potential traffic safety event, an

The communication device is further configured to: and reporting the detected potential traffic safety events to the infrastructure.

According to a further embodiment of the invention, the vehicle machine system is configured to respond according to the received traffic safety diversion guidance further comprises one or more of the following:

sending out a warning prompt to a driver of the vehicle; or

Instructing an automatic driving system or a driving assistance system of the vehicle to perform a corresponding safety measure.

According to a further embodiment of the invention, the alert prompt or the safety measure comprises one or more of:

noting the identified potential safety hazard vehicle;

decelerating; or

And (5) changing lanes.

Compared with the prior art, the safe traffic flow guiding method and the safe traffic flow guiding system provided by the invention at least have the following advantages:

1. for potential traffic safety incidents occurring in a road traffic environment, such as reckless driving of vehicles, timely safe diversion guidance can be provided for related vehicles, and potential safety hazards are eliminated;

2. aiming at the emergency passing vehicle, lane level diversion guidance can be provided for the emergency passing vehicle and other related vehicles, so that the passing efficiency of the emergency passing vehicle is effectively improved; and

3. the road infrastructure and the vehicles are effectively cooperated through the safety diversion mechanism, so that the overall safety and traffic efficiency of the road are improved, and the vehicles with V2X capability and the vehicles with data communication capability can be covered at the same time.

These and other features and advantages will become apparent upon reading the following detailed description and upon reference to the accompanying drawings. It is to be understood that both the foregoing general description and the following detailed description are explanatory only and are not restrictive of aspects as claimed.

Drawings

So that the manner in which the above recited features of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only certain typical aspects of this invention and are therefore not to be considered limiting of its scope, for the description may admit to other equally effective aspects.

Fig. 1 shows an exemplary architecture diagram of a traffic safety diversion system according to an embodiment of the present invention.

FIG. 2 illustrates an example scene diagram of traffic safety diversion according to one embodiment of this disclosure.

Fig. 3 illustrates an example scene diagram of traffic safety diversion according to another embodiment of this disclosure.

Fig. 4 is an exemplary flowchart of a traffic safety diversion method according to an embodiment of the present invention.

FIG. 5 illustrates an example block diagram of a vehicle in accordance with one embodiment of this disclosure.

Detailed Description

The present invention will be described in detail below with reference to the attached drawings, and the features of the present invention will be further apparent from the following detailed description.

Fig. 1 shows an exemplary architecture diagram of a traffic safety diversion system according to an embodiment of the present invention. As shown in fig. 1, a traffic safety diversion system may include at least an infrastructure (also referred to as a "road infrastructure" or a "traffic infrastructure") and a vehicle.

The infrastructure may include various types of wayside sensors including, but not limited to, cameras, radar, and lidar, among others. It is to be understood that the roadside sensor mentioned herein is intended to be distinguished from an on-vehicle sensor mounted on a vehicle, and means not only a sensor mounted on both sides of a road but also a sensor mounted on an arbitrary position of a road in general. Further, roadside sensors may be installed at any suitable location in a road network, such as at intersections, on both sides of roads, on and off ramps, or the like.

Infrastructure may also include various types of ICT (information communication technology) equipment including, but not limited to, RSU (road side unit) equipment, LTE/5G base stations, and the like. The ICT devices may communicate with the vehicle and the cloud server.

The infrastructure may also include various types of Computing units, such as MEC (Multi-access Edge Computing) servers, city brains (City Brain or Smart City), etc., for processing sensed or received data information. The urban brain is typically operated by or has access to various platforms or databases of various government or public departments, including but not limited to traffic control, fire control, public security, public health, and the like, and in a preferred embodiment, the urban brain may integrate the management and operational functions of the various public departments of a city.

The infrastructure may also sense the environment and objects in the environment through sensors disposed on the roadway. The environment may include, but is not limited to: weather, road characteristics, unusual activity, etc. Objects may include participants in traffic, including, but not limited to, vehicles, pedestrians, non-motorized vehicles (e.g., bicycles, scooters), animals, static obstacles (e.g., cargo scattered on roads, falling rocks, etc.).

The vehicle may include various onboard sensors including, but not limited to, cameras, radar, and lidar, among others. The vehicle may also include various communication devices for supporting the vehicle's communication with other vehicles, infrastructure, people, the cloud, and anything else. According to the difference of the communication capability of the vehicle, the vehicle can be divided into a vehicle with V2X capability and a vehicle without V2X capability. A V2X capable vehicle can communicate with other V2X vehicles or RSUs in the vicinity via V2X communication. Vehicles without V2X capability can then communicate with the cloud or infrastructure through cellular data communication capabilities such as LTE/5G.

FIG. 2 illustrates an example scenario diagram of traffic safety diversion according to one embodiment of this disclosure. As shown in fig. 2, there are several vehicles on the road that are traveling, including vehicle a, vehicle B, vehicle C, vehicle D, and other vehicles (not shown). Suddenly, the vehicle B has abnormal driving behavior (e.g., violent driving behavior or reckless driving behavior), such as the vehicle B changing its original lane into the lane where the vehicle a is located, which is not only fast, but also has a small safety margin for the vehicle a, so that the vehicle a has to be braked urgently to avoid a collision. For this abnormal driving behavior of vehicle B, vehicle a may report to a nearby infrastructure (e.g., RSU). Abnormal driving behavior may also include, but is not limited to, a violation of a traffic light (e.g., running a red light), a violation of a speed limit (e.g., speeding or traveling at low speed on a highway), a violation of a traffic sign (e.g., changing lanes with a solid line, reversing, encroaching on a non-motorized lane). Further, the abnormal driving behavior includes not only driving behavior that violates a traffic regulation but also driving behavior that does not violate a traffic regulation but easily causes a traffic safety accident, such as frequent lane change, violent driving, and the like.

The report can be carried out by the owner of the vehicle A, and can also be automatically reported by the vehicle-mounted system of the vehicle A. In addition, this abnormal driving behavior of the vehicle B may also be detected by other vehicles than the vehicle a, and thus may also be reported by other vehicles. Similarly, it may also be detected by the infrastructure itself, for example by a road surveillance camera. It is conceivable that the higher the confidence of detection of the abnormal driving behavior in the case where the same abnormal driving behavior is detected by a plurality of vehicles or infrastructures.

In one example, the reported abnormal driving behavior information at least includes a license plate number of the vehicle in the abnormal driving behavior, and optionally, may also include other information such as a body color, a brand, a vehicle type, and the like of the vehicle. After the infrastructure receives the reported abnormal driving behavior information or detects the abnormal driving behavior information, the infrastructure can further inquire the historical driving behavior record of the vehicle. In one non-limiting example, the vehicle may report the abnormal driving behavior information directly to the city brain in the infrastructure, or may report the abnormal driving behavior information to the city brain again via the RSU in the infrastructure. The city brain can inquire the traffic violation record of the vehicle based on the license plate in the reported information, and after the city brain inquires, if the vehicle is found to have multiple violation records, the city brain can identify the vehicle as a potential safety hazard vehicle and feed the result back to the RSU requesting for inquiry. In another example, this result may also be fed back to one or more RSUs that are adjacent to the RSU requesting the query.

After receiving the results of the city brain feedback, the RSU sends information of this potential safety hazard vehicle to all vehicles within its range, such as through V2X communication, to provide safe guiding directions for these vehicles. For example, the vehicles may be alerted to the potential safety hazard vehicle and/or safety precautions taken, such as slowing down or changing lanes away from the vehicle. The vehicle's in-vehicle system of the vehicle receiving the alert may provide a safety diversion alert to the user via voice, screen, HUD display, or the like, for example, alerting the user which vehicle is a potential safety hazard vehicle, suggesting a deceleration or lane change to move away from the vehicle.

In another example, the city brain may not be able to query the license plate for historical traffic violations. This may be due to various reasons, such as the vehicle being currently driven by a different driver, the vehicle having a good historical driving history but having to make abnormal driving behavior due to an emergency, such as a passenger in the vehicle needing to be sent to a hospital urgently, etc. However, sending safe diversion directions to the nearby vehicles to avoid potential risks is necessary to promote traffic safety for whatever purpose.

In an alternative embodiment, in order to improve the confidence of the determination of the abnormal driving behavior or potential safety hazard vehicle, the vehicle may be tracked and risk evaluated in real time. In one example, RSUs and road sensors in the infrastructure may detect and track real-time locations and vehicle speeds of vehicles reported or identified as potential safety hazards, and assess their real-time risks by the MEC based on their subsequent driving behavior. For example, the real-time risk level of the vehicle may be elevated when it is detected that the vehicle is constantly changing lanes or that a driving behavior violating traffic regulations is continuously occurring. Otherwise, when the abnormal driving behavior of the vehicle is not detected in the subsequent period of time, the real-time risk level of the vehicle can be gradually reduced until the identification of the potential safety hazard vehicle is cancelled and the real-time detection and tracking of the potential safety hazard vehicle are cancelled. The real-time risk level may affect the manner in which infrastructure and city brains perform targeted safety diversion measures on them, e.g., when the risk level is low, it may simply remind other vehicles of concern, and when the risk level is high, it may remind other vehicles of active avoidance.

In yet another alternative embodiment, the vehicle that is detected to have abnormal driving behavior may also be provided with safe diversion directions (e.g., reminders) for the infrastructure or other vehicles, especially if the abnormal driving behavior is an unintended cause, and it is likely that the driving user of the vehicle will pay attention to his driving behavior during subsequent driving.

Fig. 3 illustrates an example scene diagram of traffic safety diversion according to another embodiment of this disclosure. As shown in fig. 3, there is an emergency passing vehicle performing a task that needs to pass as quickly as possible. In the example of fig. 3, the emergency transit vehicle is an ambulance. It is understood that emergency passing vehicles may include, but are not limited to: ambulances, police cars, fire trucks, emergency vehicles, or any vehicle authorized by a traffic authority to have special rights-of-way. As mentioned earlier, current autonomous driving or assisted driving lacks a means to cope with such emergency passing vehicles, and many drivers may not know how to efficiently avoid to improve the passing efficiency of the emergency passing vehicles, for example, a driver of a vehicle traveling in a lane outside the road may drive the vehicle to the side of the road, leaving the middle of the road for the emergency passing vehicles to pass through, but a driver traveling in a middle lane may not know how to avoid. These situations cause the emergency vehicles to be unable to pass quickly, especially under the condition of the traffic jam (such as the peak of the morning and evening), the emergency vehicles are difficult to pass quickly.

Under the traffic safety diversion framework, the emergency traffic vehicle firstly sends the destination to the urban brain, and the urban brain can plan the global optimal path with the shortest planning time according to the real-time road condition and send the path plan to the emergency traffic vehicle. And then, the emergency traffic vehicle can run according to the navigation path planned by the brain of the city.

During travel, the infrastructure (e.g., RSUs and sensors) may detect the emergency passing vehicle, or nearby vehicles may detect the emergency passing vehicle and report to the infrastructure. The infrastructure may then send safe diversion directions to the emergency passing vehicle and nearby associated vehicles. In one example, the safety guide may be a lane-level movement guide. For example, the safe diversion directions sent to other vehicles (e.g., vehicle a and vehicle C currently traveling in the inboard lane) may be to change lanes to the outboard lane, leaving the intermediate inboard lane for emergency traffic. Meanwhile, the emergency passing vehicle may be sent to travel along the inner lane in the middle. Through the safe diversion guide, the passing efficiency of the emergency passing vehicle along the way can be effectively improved.

In a further embodiment, the RSU and sensors in the infrastructure can detect and track the real-time location and speed of the emergency transit vehicle in real-time and report to the MEC or city brain. The MEC or the brain of the city can further calculate the predicted time of the emergency vehicle passing through each intersection, and further adjust the traffic signal lamp in due time, so that the emergency vehicle can pass through each intersection at the highest speed.

It is to be understood that the scenarios of fig. 2 and 3 described above are merely examples. The traffic safety diversion of the invention can also be applied to any scene with abnormal conditions in traffic environment. For example, the road conditions are poor, obstacles exist on the road, water is accumulated on the road, traffic accidents, road administration construction and the like can be reported by vehicles or detected by infrastructure, and then the vehicles can be notified to the passing vehicles through communication modes such as V2X or LTE/5G and the like, so that traffic safety diversion guidance is provided for the vehicles.

Fig. 4 is an exemplary flow diagram of a traffic safety diversion method 400 according to one embodiment of the invention. The method 400 may be performed by an infrastructure in a traffic safety diversion system architecture as depicted in fig. 1. The method 400 begins at step 402 by obtaining information regarding a potential traffic safety event. A potential traffic safety event may be any event that may affect traffic safety. According to one embodiment of the invention, potential traffic safety events may include abnormal driving behavior, emergency passing vehicles, and any of the above-mentioned abnormal situations present in the traffic environment. In one example, obtaining the potential traffic safety event information may include receiving the potential traffic safety event information reported by the vehicle. For example, the vehicle may report the potential traffic safety event information to the RSU in the infrastructure via the V2X network and forwarded by the RSU to the city brain, or the vehicle may also report the potential traffic safety event information directly to the city brain via LTE/5G. In another example, obtaining the potential traffic safety event information may include detecting the potential traffic safety event by the infrastructure, such as directly detecting the occurrence of the potential traffic safety event by a sensor or RSU in the infrastructure.

At step 404, traffic safety guidance directions for the relevant vehicle affected by the potential traffic safety event are determined. The traffic safety diversion guide can comprise information for guiding the vehicle to take evasive measures so as to improve the vehicle and the overall traffic safety and road traffic efficiency. The traffic safety diversion directions may include at least one of: prompting attention, reducing the speed of the vehicle, changing lanes, avoiding the lane at one side, forbidding passing, replanning the route and the like.

In examples where the potential traffic safety event is abnormal driving behavior, the infrastructure may further assess a risk level for the abnormal driving behavior. The risk levels may include at least two levels of high risk requiring a prompt to the associated vehicle and low risk requiring no prompt, but may also include more different levels of risk as desired. In one non-limiting example, assessing the risk level may include querying a vehicle for historical driving behavior based on the license plate number of the vehicle in which the abnormal driving behavior occurred. This may be determined, for example, by the city brain querying historical traffic violation records for the license plate number. And when the historical traffic violation records exist or the number of the violation records reaches a certain threshold value, determining the risk level as high risk. Additionally or alternatively, if a record that the license plate number has been reported to different abnormal driving behaviors for multiple times is inquired to exist in the system, the abnormal driving behavior reported this time can also be determined as a high risk level.

Different traffic safety guidance directions are determined for the associated vehicle in response to the risk level assessment result of the potential traffic safety event. For example, when the risk level evaluation result is a high risk, the vehicle with abnormal driving behavior may be identified as a potential safety hazard vehicle, and traffic safety diversion guidance for active avoidance of the associated vehicle, such as active deceleration, active lane change, or traffic safety diversion guidance for prompting driver attention or for close attention of the automatic driving system/driving assistance system to the vehicle, may be given. It is to be understood that when more than two risk levels are present, the traffic safety diversion directions exemplified above may further be given corresponding to different risk levels. In addition, it is conceivable that when the risk level evaluation result is low risk, that is, the abnormal driving behavior is judged to be false alarm or accidental, it may be determined accordingly that the vehicle of the abnormal driving behavior is not identified as a potential safety hazard vehicle, and further traffic safety diversion guidance does not need to be given.

In examples where the potential traffic safety event is an emergency passing vehicle, the infrastructure may further determine different traffic safety diversion directions for the emergency passing vehicle itself and other related vehicles. As described previously, the infrastructure may plan a globally optimal route for the emergency transit vehicle itself and provide lane-level diversion directions for it. At the same time, corresponding lane-level diversion directions are also provided for other related vehicles, so that these vehicles can move in coordination to make a passage for rapid passage for emergency passing vehicles.

At step 406, traffic safety diversion directions are sent to the respective vehicles. As mentioned earlier, the infrastructure can be sent to V2X capable vehicles within communication range via the RSU's V2X network, and also directly to vehicles in the relevant area, especially vehicles without V2X capability, by the city brain via cellular data communications such as LTE/5G.

In an example where the potential traffic safety event is abnormal driving behavior, the method may further include real-time tracking and risk assessment of the identified potential safety hazard vehicle, whereby when the vehicle is detected to have upgraded dangerous driving behavior, its risk level may be further increased and corresponding traffic safety diversion directions may be provided. On the other hand, if the driving behavior of the vehicle remains normal, its risk level may be gradually reduced over time until the identity of its potential safety-hazard vehicle is cancelled.

In the example where the potential traffic safety event is an emergency passing vehicle, the infrastructure may further track the emergency passing vehicle in real-time and calculate its time of passage through various intersections based on its real-time speed and location. Accordingly, the infrastructure may send instructions to the traffic lights so that the lights may make corresponding adjustments (e.g., a green all-round light) to further increase the efficiency of passage of emergency vehicles.

FIG. 5 illustrates an example block diagram of a vehicle 500, according to one embodiment of this disclosure. As shown in fig. 5, a vehicle 500 may include at least a communication device 501 and a vehicle machine system 502. In one embodiment, the vehicle 500 may be a V2X-capable vehicle or a vehicle with only data communication capability, for example, may be connected to an infrastructure or cloud service through a cellular data communication manner such as LTE/5G, and is configured to receive traffic safety diversion guidance from the infrastructure, for example. In-vehicle machine system 502 may be configured to respond based on the received traffic safety diversion directions. For example, a warning may be issued to the driver alerting the driver to a potential traffic safety event based on the received traffic safety diversion directions. The in-vehicle machine system 502 may also include an automatic driving system or a driving assistance system, and performs corresponding safety measures, such as deceleration, lane change, attention maintenance, and the like, according to the received traffic safety diversion guidance.

In another embodiment, the vehicle 500 may further include one or more onboard sensors 503, thus providing context awareness capabilities. The onboard sensors 503 may include, but are not limited to: cameras, radar, and lidar, among others. The in-vehicle sensors may be configured to sense potential traffic safety events and then report to the infrastructure through the communication device.

What has been described above includes examples of aspects of the claimed subject matter. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the claimed subject matter, but one of ordinary skill in the art may recognize that many further combinations and permutations of the claimed subject matter are possible. Accordingly, the disclosed subject matter is intended to embrace all such alterations, modifications and variations that fall within the spirit and scope of the appended claims.

Claims (15)

1. A method for traffic safety diversion, the method comprising:

obtaining information about potential traffic safety events detected by vehicles and reported to or detected by infrastructure;

determining traffic safety guidance for a relevant vehicle affected by the potential traffic safety incident, the traffic safety guidance including information instructing a vehicle to take evasive measures for the potential traffic safety incident; and

and sending the traffic safety diversion guide to a corresponding vehicle.

2. The method of claim 1, wherein the potential safety event is abnormal driving behavior, and determining traffic safety diversion directions for related vehicles affected by the potential traffic safety event further comprises:

evaluating risk levels of the abnormal driving behavior, wherein the risk levels at least comprise a high risk requiring prompt to the relevant vehicle and a low risk not requiring prompt; and

and responding to the risk level evaluation result, and determining different traffic safety diversion directions for the related vehicles.

3. The method of claim 2, wherein assessing the risk rating of the abnormal driving behavior further comprises:

querying historical driving behavior of the vehicle in which the abnormal driving behavior occurs based on the license plate number of the vehicle in which the abnormal driving behavior occurs.

4. The method of claim 3, wherein querying historical driving behavior of the vehicle experiencing the abnormal driving behavior based on the license plate number of the vehicle experiencing the abnormal driving behavior further comprises:

inquiring historical traffic violation records associated with the license plate number from the brain of the city, and determining the risk level as high risk when the historical traffic violation records exist or the number of the violation records reaches a certain threshold value; or

And if the license plate number is inquired to report different abnormal driving behavior records for many times, determining the risk level of the current abnormal driving behavior as high risk.

5. The method of claim 2, wherein the method further comprises:

identifying a vehicle experiencing the abnormal driving behavior as a potential safety hazard vehicle in response to the risk level of the abnormal driving behavior being assessed as a high risk;

tracking and risk evaluating the potential safety hazard vehicles in real time;

determining updated traffic safety diversion guidance according to the real-time risk assessment result; and

and triggering the updated traffic safety guide finger to the corresponding vehicle.

6. The method of claim 5, wherein the method further comprises:

and in response to the result of the real-time risk assessment being low risk, canceling the identification of the potential safety hazard vehicle and stopping real-time tracking.

7. The method of claim 1, wherein the potential safety event is an emergency transit vehicle, and determining traffic safety guidelines for relevant vehicles affected by the potential traffic safety event further comprises:

different traffic safety diversion directions are determined for the emergency passing vehicle and other related vehicles.

8. The method of claim 7, wherein determining different traffic safety diversion directions for the emergency passing vehicle and other related vehicles further comprises:

lane-level diversion directions are provided for the emergency passing vehicle and the other related vehicles to cause the related vehicles to move in coordination to clear a passage for rapid passage for the emergency passing vehicle.

9. The method of claim 7, wherein the method further comprises:

providing a globally optimal route plan for the emergency passing vehicle;

tracking the emergency passing vehicles in real time, and calculating the time of the emergency passing vehicles passing through each intersection based on the real-time speed and the position of the emergency passing vehicles; and

and sending a signal lamp control command to the corresponding traffic signal lamp according to the calculated time of passing through each intersection.

10. A traffic safety diversion system, the system comprising:

an infrastructure configured to perform the method of any one of claims 1-9; and

a vehicle configured to respond according to the received traffic safety diversion directions.

11. The system of claim 10, wherein the infrastructure further comprises:

a wayside sensor configured to detect and/or track potential traffic safety events;

an information communication technology device configured to receive information about potential traffic safety events reported by vehicles and to send traffic safety diversion guidance to the vehicles; and

a computing unit further comprising a city brain and one or more MEC servers to determine traffic safety diversion directions for related vehicles affected by the potential traffic safety event.

12. A vehicle, characterized in that the vehicle comprises:

a communication device configured to receive traffic safety diversion directions from an infrastructure; and

a vehicle-in-vehicle system configured to respond according to the received traffic safety diversion directions.

13. The vehicle of claim 12, characterized in that the vehicle further comprises:

an on-board sensor configured to detect a potential traffic safety event, an

The communication device is further configured to: and reporting the detected potential traffic safety events to the infrastructure.

14. The vehicle of claim 12, wherein responding according to the received traffic safety diversion directions further comprises one or more of:

sending out a warning prompt to a driver of the vehicle; or

Instructing an automatic driving system or a driving assistance system of the vehicle to perform a corresponding safety measure.

15. The vehicle of claim 14, wherein the alert prompt or the safety measure comprises one or more of:

noting the identified potential safety hazard vehicle;

decelerating; or

And (6) changing lanes.

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