CN118212763A

CN118212763A - Method, device, equipment and storage medium for processing traffic accidents

Info

Publication number: CN118212763A
Application number: CN202211621329.0A
Authority: CN
Inventors: 时红仁
Original assignee: Pateo Connect and Technology Shanghai Corp
Current assignee: Pateo Connect and Technology Shanghai Corp
Priority date: 2022-12-16
Filing date: 2022-12-16
Publication date: 2024-06-18

Abstract

The embodiment of the application discloses a method, a device, equipment and a storage medium for processing traffic accidents. The method comprises the following steps: in response to detecting the traffic accident, sending an alarm request message to the traffic police server, wherein the alarm request message comprises identification information of an accident vehicle and accident site information; receiving an alarm prompt message sent by a traffic police server, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member; presenting alert messages. By implementing the embodiment of the application, the information intercommunication can be realized, the experience degree of the user can be improved, and the method and the device are beneficial to relieving the urgent mind of the user.

Description

Method, device, equipment and storage medium for processing traffic accidents

Technical Field

The present application relates to the field of information processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for processing traffic accidents.

Background

With the improvement of the living standard of people, the number of motor vehicles is continuously increased, but the number of traffic accidents is increased year by year, and the frequent traffic accidents seriously threaten the life and property safety of people. The traditional traffic accident handling method often requires accident personnel to perform on-site alarming, photographing and the like, and responsibility identification and traffic dispersion are performed after the traffic police arrive. However, in the traffic accident handling mode, after the accident personnel alarms, the accident personnel do not know specific relevant information about the alarm, the information interactivity is poor, and in the process of waiting for the arrival of the traffic police, the accident personnel are easy to generate urgent mind, and the user experience degree is low.

Disclosure of Invention

An object of the present application is to provide a method, apparatus, device, and storage medium for handling traffic accidents, which has the advantages that information intercommunication can be implemented and the experience of users can be improved by carrying real-time position information of police members in an alert prompt message presented to users after traffic accidents occur, thereby being beneficial to alleviating the urgent mind of users.

Another object of the present application is to provide a method, apparatus, device, and storage medium for handling traffic accidents, which are capable of automatically controlling an intelligent assistant to provide an alarm entrance to a user after detecting a traffic accident, so that the user can alarm in time, and the intelligence of the handling process of the traffic accident can be improved.

Another object of the present application is to provide a method, apparatus, device, and storage medium for handling traffic accidents, which are advantageous in that corresponding alert members can be determined based on accident locations and accident levels after the traffic accidents occur, and the rationality of alert resource allocation and alert efficiency can be improved.

Another object of the present application is to provide a method, apparatus, device, and storage medium for handling traffic accidents, which are advantageous in that the user experience can be improved by controlling an intelligent assistant to present and update an alert prompt message to the user after the traffic accident occurs.

Another object of the present application is to provide a method, apparatus, device, and storage medium for handling traffic accidents, which is advantageous in that an alert message is broadcast to non-accident vehicles within a preset range of an accident vehicle after the traffic accident occurs, so as to alert the non-accident vehicles to avoid, thereby facilitating the avoidance of road congestion, facilitating the arrival of police force to an accident scene more smoothly, and simultaneously facilitating the prevention of secondary traffic accidents.

Another object of the present application is to provide a method, apparatus, device, and storage medium for handling traffic accidents, which is advantageous in that the accuracy of an alert prompt message can be improved by determining the estimated arrival time of an alert according to the road segment characteristics of an alert route.

To achieve the above object, in a first aspect, an embodiment of the present application provides a method for handling a traffic accident, including the following steps:

In response to detecting the traffic accident, sending an alarm request message to the traffic police server, wherein the alarm request message comprises identification information of an accident vehicle and accident site information;

Receiving an alarm prompt message sent by a traffic police server, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member; and

Presenting alert messages.

It can be seen that, after the vehicle-mounted terminal detects a traffic accident, an alert request message is sent to the traffic police server. The vehicle-mounted terminal receives the alarm prompt message generated by the traffic police server according to the accident vehicle identification information and the accident place information in the alarm request message, and then presents the alarm prompt message. The warning prompt message comprises warning members, expected arrival time and real-time position information of the warning members. Therefore, when the vehicle-mounted terminal detects the traffic accident, the vehicle-mounted terminal can give an alarm in time, so that the time and energy of a user are saved, and the processing efficiency of the traffic accident is improved. In addition, the user can timely acquire the real-time position information of the traffic police from the warning prompt message so as to realize information intercommunication, thereby being beneficial to improving the experience of the user and relieving the urgent mind of the user.

In one possible implementation, in response to detecting a traffic accident, sending a traffic police request message to a traffic police server, comprising the steps of:

in response to detecting the traffic accident, controlling the intelligent assistant to provide an alarm entry to the user; and

And responding to the alarm instruction input by the user at the alarm entrance, and sending an alarm request message to the traffic police server.

It can be seen that the vehicle-mounted terminal can automatically trigger the opening of the intelligent assistant after detecting the traffic accident. After the intelligent assistant is started, the intelligent assistant can be controlled to provide an alarm entrance for a user, so that the user can alarm in time, and the intelligence of the traffic accident handling process is improved. After receiving the alarm instruction of the user, the alarm sending request message can be sent to the traffic police server, and the information intercommunication can be realized and the experience degree of the user can be improved by carrying the real-time position information of the alarm sending member in the alarm sending prompt message presented to the user after the traffic accident occurs, so that the urgent mind of the user can be relieved.

In one possible implementation, the alert request message includes an incident image, the incident image being determined based on the steps of:

Acquiring an environment image of an accident vehicle within a preset time period; and

An accident image is determined from an environmental image of the accident vehicle.

It can be seen that the vehicle-mounted terminal determines the accident image from the environmental image of the accident vehicle by acquiring the environmental image of the accident vehicle within the preset time period. Thus, the efficiency and accuracy of accident image acquisition can be improved.

In one possible embodiment, the alert member is determined based on the accident location information and the accident level, which is determined based on the accident image.

It can be seen that the accident level is determined according to the accident image, then the police member is determined according to the accident level and the accident place information, and the corresponding police member can be rapidly determined, so that the reasonability of police resource allocation and the police efficiency can be improved.

In one possible embodiment, a warning message is presented, comprising at least one of the following steps:

The control intelligent assistant presents an alarm prompt message to the user and updates the real-time position information and the expected arrival time based on a preset time interval; and

And broadcasting an alarm prompt message to the non-accident vehicles within a preset range of the accident vehicle so as to prompt the non-accident vehicles to avoid.

It can be seen that after the vehicle-mounted terminal receives the alert prompt message, the intelligent assistant can be controlled to present and update the alert prompt message to the user. Therefore, the whole traffic accident handling process has high intelligence, and the user experience is improved conveniently. After the traffic accident, the non-accident vehicles in the preset range of the accident vehicle can broadcast warning prompt messages to prompt the non-accident vehicles to avoid, thereby being beneficial to avoiding road congestion, being convenient for police to reach the accident scene more smoothly and being beneficial to preventing secondary traffic accidents.

In a second aspect, an embodiment of the present application provides another method for handling a traffic accident, including the steps of:

acquiring an alarm request message sent by a vehicle-mounted terminal, wherein the alarm request message comprises identification information of an accident vehicle and accident location information; and

And generating an alarm prompt message according to the alarm request message to be sent to the vehicle-mounted terminal, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member.

In one possible implementation manner, the alert request message includes an accident image, and the alert prompt message is generated according to the alert request message and sent to the vehicle-mounted terminal, and the method includes the following steps:

Determining an accident level according to the accident image;

determining police members according to the accident site information and the accident level;

acquiring real-time position information of the police member; and

And generating an alarm prompt message to be sent to the vehicle-mounted terminal, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member.

It can be seen that the accident level is determined according to the accident image, then the police member is determined according to the accident level and the accident site information, and the police member can be rapidly determined, so that the police efficiency is improved.

In one possible embodiment, determining the accident level from the accident image comprises the steps of:

clustering all the features in the accident image to obtain a target feature set;

Inputting the target feature set into an accident level detection model to obtain an accident level detection result of each feature; and

And determining the accident level according to the accident level detection result of each characteristic.

It can be seen that the traffic police server clusters each feature in the accident image to obtain a target feature set, and inputs the target feature set into the accident level detection model to obtain an accident level detection result of each feature. And finally, determining the accident level according to the accident level detection results of the features. By implementing the embodiment of the application, the corresponding police members can be determined based on the accident location and the accident level after the traffic accident occurs, and the rationality of police resource allocation and the police efficiency can be improved.

In one possible implementation, the method for determining the police member according to the accident site information and the accident level comprises the following steps:

determining the number of police according to the accident level;

Determining an alarm list according to accident site information; and

And determining the police members according to the police number and the police list.

It can be seen that after the number of police is determined according to the accident level, the police list is determined according to the accident site information, and finally the police members are determined according to the number of police and the police list. Therefore, the police dispatch personnel which can arrive at the accident scene at the fastest speed can be rapidly determined, and the police dispatch efficiency is improved.

In one possible implementation, determining the warning list according to the accident site information includes the following steps:

determining at least one idle police officer in the area indicated by the accident site information according to the accident site information;

calculating at least one estimated time of arrival for at least one idle police officer; and

An alert list is determined based on the at least one expected arrival time.

It can be seen that by determining at least one idle police officer in the area indicated by the accident location information and then determining the police list based on at least one expected arrival time of the at least one idle police officer, the time for alarming can be shortened, thereby improving the processing efficiency of traffic accidents.

In one possible implementation, the predicted arrival time is determined based on the following steps:

determining a route to be started according to the accident site information, wherein the route to be started at least comprises a road section;

Acquiring road section characteristics of a to-be-started route, wherein the road section characteristics comprise road section length, traffic light quantity and average speed limit; and

The estimated time of arrival is determined based on the road segment characteristics.

It can be seen that after the traffic police server determines the route to be started according to the accident location information, the road section characteristics of the route to be started are obtained, and finally the estimated arrival time of police strength can be determined according to the road section characteristics of the police-out route, so that the accuracy of the police-out prompt message can be improved.

In a third aspect, an embodiment of the present application provides an apparatus for handling a traffic accident, including: at least one sensor, a display assembly, and at least one processor communicatively coupled to the at least one sensor and the display assembly; wherein,

At least one sensor is configured to detect whether a traffic accident has occurred;

the at least one processor is configured to:

in response to at least one sensor detecting that a traffic accident occurs, sending an alarm request message to a traffic police server, wherein the alarm request message comprises identification information of an accident vehicle and accident site information; and

Receiving an alarm prompt message sent by a traffic police server, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member;

the display component is configured to present alert messages.

In a fourth aspect, embodiments of the present application provide a computer device comprising a processor, a memory and a communications interface, wherein the memory stores a computer program configured to be executed by the processor, the computer program comprising instructions for some or all of the steps as described in the first or second aspects of embodiments of the present application.

In a fifth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program, the computer program causing a computer to perform some or all of the steps as described in the first or second aspects of the embodiments of the present application.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained based on these drawings without inventive effort for a person skilled in the art. Wherein:

FIG. 1 is a schematic diagram of a system architecture according to an embodiment of the present application;

fig. 2A is a schematic flow chart of a method for handling traffic accidents according to an embodiment of the present application;

fig. 2B is a schematic flow chart of an accident image determining method according to an embodiment of the present application;

FIG. 2C is a flow chart of a method for determining an expected arrival time according to an embodiment of the present application;

FIG. 3 is a flow chart of another method for handling traffic accidents according to an embodiment of the present application;

fig. 4A is a flow chart of another method for handling traffic accidents according to an embodiment of the present application;

Fig. 4B is a flow chart of another method for handling traffic accidents according to an embodiment of the present application;

fig. 4C is a flow chart of another method for handling traffic accidents according to an embodiment of the present application;

Fig. 4D is a flow chart of another method for handling traffic accidents according to an embodiment of the present application;

Fig. 5 is a schematic structural diagram of a device for handling traffic accidents according to an embodiment of the present application;

Fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In order to better understand the technical solution of the embodiment of the present application, a system architecture that may be related to the embodiment of the present application is first described. Referring to fig. 1, a schematic system architecture provided in an embodiment of the present application may include: an in-vehicle terminal 100 and a traffic police server 200. The vehicle-mounted terminal and the traffic police server can communicate through a network. The network communication may be based on any wired and wireless network including, but not limited to, the internet, wide area networks, metropolitan area networks, local area networks, virtual private networks (virtual private network, VPN), wireless communication networks, and the like.

The vehicle-mounted terminal is also called as vehicle-mounted equipment, vehicle-mounted computer or vehicle machine. In the embodiment of the application, the vehicle-mounted terminal can be used for sending the alarm prompt message to the traffic police server, receiving the alarm prompt message sent by the traffic police server, controlling the intelligent assistant to provide an alarm entrance for a user, and the like.

In the embodiment of the application, the traffic police server is a server deployed in a traffic police system. The traffic police server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (content delivery network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms. The traffic police server may alternatively be implemented by a server cluster composed of a plurality of servers.

The traditional traffic accident handling method often requires accident personnel to perform on-site alarming, photographing and the like, and responsibility identification and traffic dispersion are performed after the traffic police arrive. These procedures are cumbersome and require a significant amount of time. In addition, if accident personnel are injured, the alarm can be untimely, the problems of untimely alarm, long-time road congestion and the like can be further caused, and secondary traffic accidents can be seriously caused.

In order to solve the above problems, the embodiment of the application provides a method for processing traffic accidents, which can improve the efficiency of traffic accident processing.

Referring to fig. 2A, fig. 2A is a flow chart of a method for handling traffic accidents according to an embodiment of the present application, which may include the following steps S201 to S204, wherein:

step S201: and the vehicle-mounted terminal responds to the detection of the traffic accident and sends an alarm request message to the traffic police server.

Accordingly, the traffic police server acquires the police request message. In the embodiment of the application, the traffic accident may be that two or more vehicles running collide, or that a running vehicle collides with a pedestrian, or that a running vehicle collides with other objects, or the like. An accident vehicle may refer to a vehicle that has a traffic accident.

Specifically, when the vehicle-mounted terminal detects a traffic accident, an alarm request message can be sent to the traffic police server to prompt the traffic police that the traffic accident occurs. Wherein the alert request message may include identification information of the accident vehicle and accident site information. The identification information of the accident vehicle can comprise information of unique identification vehicle identities such as license plate numbers, vehicle identification codes (vehicle identification number, VIN) and the like of the accident vehicle, can also comprise information such as driving license of owners of the accident vehicle, contact modes of the owners and the like, and can also comprise information such as colors, models and the like of the accident vehicle.

In the embodiment of the application, the vehicle-mounted terminal can pre-store the identification information, and when the traffic accident is detected, the identification information of the vehicle can be uploaded to the traffic police server. The information such as license plate numbers, colors and models of accident vehicles can help traffic police to find accident vehicles quickly. And the VIN, the driving license, the contact mode of the vehicle owner and other information can be convenient for traffic police to archive the traffic accident. In addition, the traffic police can contact the car owners through reserved car owner contact ways, so that the traffic accident handling efficiency is improved.

The accident site information may refer to a site where a traffic accident occurs. The location of the incident may be obtained by a global positioning system (global positioning system, GPS). The accident site information may also include a marked building in the vicinity of the site where the traffic accident occurred. Therefore, the traffic police can quickly arrive at the accident site by carrying the accident site information in the warning prompt message.

For example, the warning prompt message may be that "people 1052-1058 (road tail) have traffic accidents in the district, the license plate number of the accident vehicle is a certain a12345" or "123 line AB line (600km+800 m) has traffic accidents, the accident vehicle is an orange large truck, the license plate number is a certain a12453", etc.

It can be seen that when the vehicle-mounted terminal detects a traffic accident, an alarm-sending request message is sent to the traffic police server, wherein the alarm-sending request message comprises identification information of an accident vehicle and accident location information. The traffic police can quickly arrive at the accident site and quickly find out the accident vehicles, so that the traffic police can quickly develop and mediate the traffic accident and dredge the road, and the traffic accident handling efficiency can be improved.

In one possible implementation, the alert request message may include an image of the incident. Referring to fig. 2B, fig. 2B is a flowchart of a method for determining an accident image according to an embodiment of the present application, which may include the following steps S2B1-S2B2, wherein:

Step S2B1: the vehicle-mounted terminal acquires an environment image of the accident vehicle within a preset time period.

Wherein the ambient image may comprise an ambient photo and/or an ambient video. The preset time period is a preset parameter, and can be specifically set according to historical experience. The preset time period may be 30 seconds before and after the occurrence of the traffic accident is detected or may be 60 seconds before and after the occurrence of the traffic accident is detected, or may be other time periods before and after the occurrence of the traffic accident is detected, which is not limited in the embodiment of the present application.

In the embodiment of the application, the cameras can be arranged on the front and rear windows or the glass on two sides of the vehicle and are used for shooting the environment inside and outside the vehicle. The vehicle interior and exterior environment may include an environment in front of the vehicle, an environment behind the vehicle, an environment on both sides of the vehicle, or may also be an environment inside the vehicle, or the like. The specific location of the installation may be on the vertical center line of the front and rear windows or both side glasses of the vehicle, etc., and is not limited herein. The camera and the vehicle-mounted terminal can communicate in a wired or wireless mode.

In the running process of the vehicle, the vehicle-mounted terminal can call the camera to photograph or record the environment inside and outside the vehicle so as to obtain an environment image of the vehicle. In addition, the environment image of the vehicle can be stored in the storage module of the vehicle-mounted terminal, so that the subsequent use is convenient. Therefore, when a traffic accident is detected, the vehicle-mounted terminal can acquire an environment image of the accident vehicle within a preset time period. In one possible implementation manner, the vehicle environment image stored in the vehicle-mounted terminal can be deleted regularly, so that the memory is saved.

Step S2B2: the vehicle-mounted terminal determines an accident image from the environmental image of the accident vehicle.

The accident image may be an image for evaluating a traffic accident. The accident image may include an accident vehicle injury image, an casualty image of accident personnel, and the like. In the embodiment of the application, the vehicle-mounted terminal can input the environmental image of the accident vehicle into the machine learning model which is trained in advance to obtain the recognition result output by the machine learning model, and determine whether the environmental image is the accident image according to the recognition result. Since the machine learning model is obtained by training a large number of training samples in advance, the machine learning model can be used for identifying whether an environment image of an accident vehicle is an accident image or not.

Step S202: and the traffic police server generates an alarm prompt message according to the alarm request message.

Specifically, after the traffic police server acquires the police-sending request message, an police-sending prompt message can be generated according to the information such as the identification information, the accident place information, the accident image and the like of the accident vehicle carried in the police-sending request message. The alarm prompt message is used for indicating that the traffic police is about to alarm. The alert prompt message may include information such as the alert member, the expected arrival time, and the real-time location of the alert member. The alert member can comprise information such as the number of alert persons, an alert list, the number of alerts, the contact mode of the alert persons and the like.

For example, the alert prompt message may be "alert people: 1 person, alarm list: small a, alarm: 123456, currently located on people road 100, predicts 5 minutes to arrive at the accident site ", and can also be" police number: 2 people, alarm list: small a, alarm: 123456, panel B, alarm: 654321. the small A is currently positioned on the people road No. 100, and 5 minutes are predicted to reach the accident place; small B is currently located on national road 300, estimated 8 minutes to reach the accident site ", etc.

In embodiments of the present application, traffic police may carry with them law enforcement equipment, including location services. The law enforcement device may include, but is not limited to, a smart phone, a wearable device (e.g., a smart bracelet), an intercom, a tablet (pad), a laptop (laptop), a navigator, and the like. The law enforcement equipment and the traffic police server can communicate in a wired or wireless mode, and can send the position information of the law enforcement equipment and the traffic police server to the traffic police server in real time. The traffic police server can acquire the real-time position information of the traffic police according to the received real-time position information of the law enforcement equipment. And the real-time position information of the traffic police can be generated and sent to the vehicle-mounted terminal of the accident vehicle, so that the real-time position information of the police-exiting member can be carried in the police-exiting prompt information presented to the user after the traffic accident occurs, and accident personnel can quickly know the real-time position information of the traffic police according to the police-exiting prompt information, thereby being beneficial to improving the experience of the user and relieving the urgent mind of the user.

Referring to fig. 2C, fig. 2C is a flowchart of a method for determining an expected arrival time according to an embodiment of the present application, which may include the following steps S2C1-S2C3, wherein:

Step S2C1: and the traffic police server determines a route to be started according to the accident site information.

Step S2C2: and the traffic police server acquires the road section characteristics of the to-be-started route.

The route to be started refers to a route for traffic police to arrive at the accident site. Specifically, after the traffic police server determines the police members, the traffic police server can acquire the position information of the police members, and then determine the route to be started according to the position information of the police members and the accident site information. The specific implementation of determining the alert member may refer to the following description, which is not described herein. The route to be started can be a complete route determined based on the position of the member for police and the accident site; in particular, the route to be started may be a driving route or a riding route adapted to the police-exiting vehicle, and the police-exiting vehicle may be an automobile or a motorcycle, etc. It is to be understood that the route to be started may be the route closest to the road, or may be the route with the least traffic lights, which is not limited.

In the embodiment of the application, the route to be started can comprise one road section or a plurality of road sections. The route to be started can be characterized by a road segment sequence. Each road section is allocated with a unique road section identifier corresponding to the road section, namely link ID. Each road segment corresponds to at least one road segment characteristic, and the road segment characteristics can influence the traffic duration of the road segment. The road section characteristics can comprise road section length, traffic light quantity and average speed limit, and can also comprise information such as road conditions of a congested road section and the current moment.

Step S2C3: the traffic police server determines the estimated time of arrival according to the road segment characteristics.

The estimated time of arrival may be an estimated time period that is required to estimate a route according to a traffic mode. In the embodiment of the application, after the traffic police server acquires the road section characteristics of the to-be-started route, the traffic police server can perform weight distribution aiming at the road section characteristics, and the weight values distributed by different road section characteristics are different. Illustratively, the more congested road segments, the greater the weight value; the fewer the number of traffic lights, the smaller the weight value, etc. In addition, the larger the road segment feature weight value, the longer the expected time consumption. And finally, carrying out weighted calculation on all road section characteristics of the to-be-started route to obtain a weighted calculation result, and obtaining the expected arrival time corresponding to the to-be-started route according to the weighted calculation result.

Step S203: and the vehicle-mounted terminal receives the alarm prompt message sent by the traffic police server.

And the traffic police server generates an alarm prompt message according to the alarm request message and then sends the alarm prompt message to the vehicle-mounted terminal. Correspondingly, the vehicle-mounted terminal receives an alarm prompt message sent by the traffic police server.

Step S204: the vehicle-mounted terminal presents an alarm prompt message.

After receiving the warning prompt message sent by the traffic police server, the vehicle-mounted terminal can display the warning prompt message in a vehicle-mounted terminal display screen or a head-up display (HUD), and can also broadcast the warning prompt message through voice so that a user corresponding to the vehicle-mounted terminal can receive the warning prompt message in time. The user may be a driver, a passenger, or the like.

Optionally, the vehicle-mounted terminal can also send an alarm prompt message to the mobile terminal associated with the user, so that the user can receive the alarm prompt message in time. Mobile terminals may include, but are not limited to, smart phones, wearable devices (e.g., smart bracelets), interphones, tablet computers (pad), laptop computers (laptop), navigator, and like electronic devices. The mobile terminal and the vehicle-mounted terminal can communicate in a wired or wireless mode, so that the warning prompt message can be received.

In the method shown in fig. 2A, it can be seen that, after the vehicle terminal detects a traffic accident, an alert request message is sent to the traffic police server. And the traffic police server generates an alarm prompt message according to the accident vehicle identification information and the accident site information in the alarm request message and sends the alarm prompt message to the vehicle-mounted terminal. The vehicle-mounted terminal receives the warning prompt message sent by the traffic police server and presents the warning prompt message. The warning prompt message comprises warning members, expected arrival time and real-time position information of the warning members. Therefore, when the vehicle-mounted terminal detects the traffic accident, the vehicle-mounted terminal can give an alarm in time, so that the time and energy of a user are saved, and the processing efficiency of the traffic accident is improved. In addition, the user can timely acquire the real-time position information of the traffic police from the warning prompt message so as to realize information intercommunication, thereby being beneficial to improving the experience of the user and relieving the urgent mind of the user.

Referring to fig. 3, fig. 3 is a flow chart of another method for handling traffic accidents according to an embodiment of the present application, which may include the following steps S301 to S308, wherein:

step S301: the vehicle-mounted terminal acquires the environment images inside and outside the vehicle, and detects whether a traffic accident occurs according to the environment images inside and outside the vehicle.

The definition of the internal and external environment images of the vehicle may refer to the foregoing definition, and the specific implementation manner of the internal and external environment image acquisition of the vehicle may refer to the foregoing description, which is not repeated herein.

In the embodiment of the application, the vehicle-mounted terminal can monitor whether traffic accidents occur or not through an image processing technology. Specifically, the environmental images inside and outside the vehicle can be input into a machine learning model which is trained in advance, so as to obtain the recognition result output by the machine learning model, and whether the traffic accident occurs is determined according to the recognition result. The machine learning model is obtained by training a large number of training samples in advance, so that the machine learning model can be used for detecting whether traffic accidents occur or not.

The following pre-training process for the machine learning model may include the steps of:

Collecting a plurality of sample environment images inside and outside a vehicle in advance; marking standard recognition results corresponding to the environment images of the samples, wherein the standard recognition results comprise traffic accidents or traffic accidents which do not occur; inputting a plurality of sample environment images into a machine learning model to obtain a training recognition result output by the machine learning model; and obtaining an error function between the training recognition result and the standard recognition result, wherein the error function or the training times meet preset conditions, such as error is less than 5%, the training times are greater than or equal to the number of sample environment images, and the like, and then determining that the machine learning model is trained. Otherwise, model parameters of the machine learning model are adjusted based on the error function.

Step S302: and the vehicle-mounted terminal detects whether a traffic accident occurs according to the sensing technology.

In one possible implementation, step S302 may include the steps of:

Acquiring the gravity acceleration and the angular velocity of the vehicle; and determining whether the vehicle has traffic accidents according to the gravity acceleration and the angular speed.

In the embodiment of the application, the gravity acceleration sensing device and the angular velocity sensing device may be mounted on the vehicle, and the position where the sensing device is mounted may be on the front window glass of the vehicle or other positions of the vehicle, which is not limited herein. Wherein the gravitational acceleration sensing means may be used for detecting gravitational acceleration of the vehicle, and the angular velocity sensing means may be used for detecting angular velocity of the vehicle. The gravity acceleration sensing device and the angular velocity sensing device can be communicated with the vehicle-mounted terminal in a wired or wireless mode. The vehicle-mounted terminal acquires the vehicle gravity acceleration and the angular velocity acquired by the gravity acceleration sensing device, and then determines whether the vehicle has a traffic accident or not according to the acquired vehicle gravity acceleration and the acquired angular velocity.

In one possible embodiment, determining whether a traffic accident occurs in the vehicle according to the gravitational acceleration and the angular velocity may specifically include the steps of:

and determining that the vehicle has a traffic accident in response to the gravitational acceleration being greater than the preset gravitational acceleration and the angular velocity being greater than the preset angular velocity.

In the embodiment of the application, the preset gravity acceleration can be the gravity acceleration when the vehicle normally runs and no traffic accident occurs; the preset angular velocity may be an angular velocity when the vehicle is normally running and no traffic accident occurs. The preset gravitational acceleration and angular velocity are preset parameter setting numbers, the gravitational acceleration and the preset angular velocity can be specifically set according to historical experience, and can be specifically analyzed and set according to actual conditions, and the method is not limited to the specific method. For example, the preset gravitational acceleration may be 0g-1g; the predetermined angular velocity may be-10 °/second.

In addition, the occurrence of a traffic accident in the target vehicle may be determined by an ultrasonic radar or other sensors, and is not limited herein.

It should be noted that, in the embodiment of the present application, one of the steps S301 or S302 may be performed to determine whether a traffic accident occurs in the vehicle, or the steps S301 and S302 may be simultaneously performed to determine whether a traffic accident occurs in the vehicle, which is not limited herein.

It can be seen that the vehicle-mounted terminal detects whether the vehicle has a traffic accident or not through an image processing technology and/or a sensing technology, and the accuracy and the efficiency of traffic accident determination are improved.

Step S303: and the vehicle-mounted terminal responds to the detection of the traffic accident and controls the intelligent assistant to provide an alarm entrance for the user.

Step S304: and the vehicle-mounted terminal responds to receiving an alarm instruction input by a user at an alarm entrance, and controls the intelligent assistant to send an alarm request message to the traffic police server.

In the embodiment of the application, the vehicle-mounted terminal can be provided with an intelligent assistant, and the intelligent assistant can interact with a user in a voice, text and other modes. May be used to assist a user in handling traffic accidents including, but not limited to, providing a warning portal to the user, communicating with a mobile terminal or traffic police server, etc.

Specifically, the intelligent assistant can be in a dormant state when no traffic accident occurs, which is helpful for saving energy consumption. When the vehicle-mounted terminal detects that a traffic accident occurs, the opening of the intelligent assistant can be automatically triggered. After the intelligent assistant is started, an alarm entrance can be provided for a user on the display screen of the vehicle-mounted terminal, so that the user can alarm in time, and the intelligence of the traffic accident handling process is improved. It is understood that the user can determine whether to alarm according to actual needs. In addition, the intelligent assistant can ask the user whether to alarm in a voice broadcasting mode or not, and the intelligent assistant is not limited herein.

In a possible implementation manner, the vehicle-mounted terminal may also primarily determine the accident level according to the accident image, and the specific implementation method may refer to a method of determining the accident level by the traffic police server according to the accident image in fig. 4B, which is not described herein. The vehicle-mounted terminal can provide advice of whether to alarm or not for the user according to the primarily determined accident level, and control the intelligent assistant to display the advice for the user. The advice may be, for example, "preliminary determination of the accident level as a mild accident, advice of private negotiation, no need for an alarm, please select whether an alarm portal needs to be provided", or "preliminary determination of the accident level as a severe accident, advice of alarm, please select whether an alarm portal needs to be provided".

After receiving an alarm instruction input by a user at the alarm entrance, the vehicle-mounted terminal can control the intelligent assistant to send an alarm request message to the traffic police server. The definition of the alert request message may refer to the foregoing description, and will not be described in detail herein.

Optionally, if the vehicle-mounted terminal does not receive feedback of whether the user alarms within a preset duration (for example, 5 minutes, etc.), the vehicle-mounted terminal can also control the intelligent assistant to provide the alarm entrance for the mobile terminal associated with the vehicle-mounted terminal, so that the user can receive the alarm entrance in time. If the vehicle-mounted terminal still does not receive feedback of whether the user alarms within a preset time period (for example, 3 minutes, etc.), the vehicle-mounted terminal can control the intelligent assistant to automatically send the alarm request message. Therefore, the situation that the user is injured and cannot alarm can be avoided, and the timeliness of the alarm can be improved.

It can be seen that after the vehicle-mounted terminal detects the traffic accident, the intelligent assistant can be automatically controlled to provide an alarm entrance for the user, so that the user can alarm in time, and the intelligence of the traffic accident handling process can be improved.

Step S305: and the traffic police server generates an alarm prompt message according to the alarm request message.

Step S306: and the vehicle-mounted terminal receives the alarm prompt message sent by the traffic police server.

It should be understood that step S305 and step S306 correspond to step S202 and step S203, and the descriptions of step S305 and step S306 may be referred to the descriptions of step S202 and step S203 above, and are not repeated here to avoid repetition.

Step S307: the vehicle-mounted terminal controls the intelligent assistant to present an alert prompt message to the user, and controls the intelligent assistant to update the real-time position information and the expected arrival time based on the preset time interval.

The preset time interval may be an originally set parameter, and the specific value of the preset time interval may be set according to an actual application scenario. For example, it may be 1 minute or 2 minutes. In the embodiment of the application, after the vehicle-mounted terminal receives the warning prompt message sent by the traffic police server, the control intelligent assistant can display the warning prompt message to the user. After the traffic police starts, the traffic police server can acquire the real-time position of the police taker in real time. The specific determination of the expected arrival time may be referred to the foregoing description, and will not be described in detail herein. The predicted arrival time may be dynamically varied based on the accident site information and the real-time location of the police officer. In the embodiment of the application, the traffic police server can update the real-time position information and the estimated arrival time of the police dispatch newspaper in the police dispatch newspaper, and can send the updated police dispatch newspaper to the vehicle-mounted terminal, and the vehicle-mounted terminal can control the intelligent assistant to update the real-time position information and the estimated arrival time of the police dispatch newspaper based on a preset time interval after receiving the updated police dispatch newspaper so as to be presented to the user.

Step S308: the vehicle-mounted terminal broadcasts an alarm prompt message to the non-accident vehicles within a preset range of the accident vehicles so as to prompt the non-accident vehicles to avoid.

The preset range may be a preset parameter, specifically may be set according to historical experience, or may be specifically analyzed and set according to actual situations. By way of example, the preset range may be set to 1 km or 3 km or the like.

A non-accident vehicle may refer to a vehicle that has not experienced a traffic accident or has not been swept by a traffic accident for a while. The broadcasting mode may be that a device-to-device (D2D) technology presents an alert message to a user within a preset range, and the D2D technology may not need to forward through a central node, that is, a base station, so as to be beneficial to improving transmission efficiency. When a traffic accident occurs, the vehicle-mounted terminal can transmit an alarm prompt message to a non-accident vehicle in a preset range of the accident vehicle by adopting a D2D technology in a mode of transmitting a data packet through a direct link.

In the embodiment of the application, the warning prompt message can carry the position information of the accident vehicle and the real-time position information of the police vehicle. Specifically, the warning prompt message may be displayed with a specific lane-level map, so that a driver corresponding to the non-accident vehicle may determine a specific lane where the accident occurs and on which lane the police vehicle travels through the lane-level map, thereby guiding the non-accident vehicle to avoid the accident vehicle and the lane where the police vehicle is located more finely. In one possible implementation, the precise location of the accident vehicle and the precise location of the police car may be located by a global positioning system (global positioning system, GPS) in combination with a map-matching method (MAP MATCHING, MM). The basic idea of the GPS/MM is to compare GPS positioning information of accident vehicles and police vehicles with road network information in a road network database and correct errors of the GPS positioning information, so that accurate position information of the accident vehicles and accurate position information of the police vehicles are determined. In another possible implementation manner, the accurate position information of the accident vehicle and the accurate position information of the police car can be also positioned through the information acquired by the road side equipment; the road side equipment may include cameras, traffic lights, and the like. Specifically, the traffic police server may acquire information (e.g., road image information, traffic light position, etc.) acquired by the road side device by interacting with the road side device, and then locate accurate position information of the accident vehicle and accurate position information of the police car according to the information acquired by the road side device. Of course, the above-mentioned manner of locating the accurate position information of the accident vehicle and the accurate position information of the police car may be implemented separately or in combination in practical application, and the embodiment of the present application is not limited thereto. In the embodiment of the application, the warning prompt message can be displayed in a vehicle-mounted terminal display screen or a head-up display (HUD) of the non-accident vehicle, and the warning prompt message can be also broadcast in a voice way, so that a driver corresponding to the non-accident vehicle can receive the warning prompt message in time, and therefore the accident vehicle and the police vehicle can be avoided in time.

It can be seen that after the vehicle-mounted terminal receives the alert prompt message, the intelligent assistant can be controlled to present and update the alert prompt message to the user. Therefore, the whole traffic accident handling process has high intelligence, and the user experience is improved conveniently. After the traffic accident, the warning prompt message can be broadcasted to the non-accident vehicles within the preset range of the accident vehicle so as to prompt the non-accident vehicles to avoid, thereby being beneficial to avoiding road congestion, being convenient for police to reach the accident scene more smoothly and being beneficial to preventing secondary traffic accidents.

In the method shown in fig. 3, it can be seen that whether the vehicle-mounted terminal detects the traffic accident or not by adopting an image processing technology and/or a sensing technology is beneficial to improving the accuracy and efficiency of traffic accident determination. After the occurrence of the traffic accident is detected, the intelligent assistant is controlled to provide an alarm entrance for the user to select whether to alarm or not, so that the whole traffic accident processing process has higher flexibility, applicability and intelligence. After receiving the warning prompt message generated by the traffic police server according to the warning request message, the vehicle-mounted terminal presents and updates the warning prompt message to the user through the intelligent assistant, so that the whole traffic accident processing process has higher intelligence, and the user experience is improved conveniently. Or the vehicle-mounted terminal broadcasts an alarm prompt message to the non-accident vehicles within the preset range of the accident vehicle so as to prompt the non-accident vehicles to avoid, thereby avoiding road congestion and preventing secondary traffic accidents.

Referring to fig. 4A, fig. 4A is a flow chart of another method for handling traffic accidents according to an embodiment of the present application, which may include the following steps S401 to S407, wherein:

step S401: and the vehicle-mounted terminal responds to the detection of the traffic accident and sends an alarm request message to the traffic police server.

It should be understood that step S401 corresponds to step S201, and the description of step S401 may be referred to the description of step S201, which is not repeated herein.

Step S402: the traffic police server determines an accident level from the accident image.

Wherein the accident level is used to characterize the severity of the traffic accident. By way of example, the incident level may be a light incident, a general incident, a serious incident, an oversized incident, and the like. The incident image may be obtained from an alert request message. Alternatively, the accident image may be obtained from other vehicles within a preset range, or may be obtained from an image captured by the road monitoring camera.

In one possible implementation, step S402 may specifically include steps S4B1-S4B3 shown in FIG. 4B. Wherein:

step S4B1: and clustering each feature in the accident image by the traffic police server to obtain a target feature set.

In the embodiment of the application, the characteristics of the accident image can comprise characteristics of accident vehicles, characters, zebra crossings, bumped objects and the like. The traffic police server can detect each feature in the event image by a time difference method or an optical flow method and the like, and further extract each feature from the event image.

In the embodiment of the application, the traffic police server can cluster each feature of the accident image, and divide the same feature into one cluster to obtain the target feature set. Wherein the target feature set has at least one feature. That is, the target feature set is a set having the same features. The target feature set may be, for example, an accident vehicle that has been deformed, a pedestrian that falls on the ground, a bumped object, or the like.

Step S4B2: and the traffic police server inputs the target feature set into an accident level detection model to obtain an accident level detection result of each feature.

In the embodiment of the application, the accident level detection model records the mapping relation between the target feature set and the accident level detection result. The accident level detection result can be expressed in the form of characters, numerical values and the like. For example, when the target feature set is a feature corresponding to an accident vehicle and a feature corresponding to a person, and the specific feature of the accident vehicle is represented by a vehicle with a severely deformed body, the specific feature of the person is represented by a pedestrian who falls over, the corresponding accident level detection result may be a serious accident; or when the target feature set is a feature corresponding to the accident vehicle and the specific feature of the accident vehicle is a slight scratch of the rearview mirror, the corresponding accident level detection result can be a slight accident and the like. Therefore, the target feature set is input into a pre-trained accident level detection model, and the accident level detection result of each feature can be obtained.

The accident level detection model is trained based on a machine learning algorithm. The clustering model can be obtained based on clustering algorithm training, can be a neural network model, can be a deep learning model or a convolutional neural network model and the like. By way of example, it may be an extreme gradient boost (eXtreme gradient boosting, xgboost), a convolutional neural network (convolutional neural networks, CNN), a recurrent neural network (recurrent neural network, RNN), a full convolutional network (fully convolutional networks, FCN); one or more of long short-term memory (LSTM) and support vector machine (support vector machine, SVM) may be used, which is not limited.

Step S4B3: and the traffic police server determines the accident level according to the accident level detection result of each characteristic.

After the traffic police server obtains the accident level detection results of each feature through the accident level detection model, preset weights can be respectively assigned to the accident level detection results of each feature, then weighting calculation is carried out on each accident level detection result according to the preset weights, and the accident level is determined according to the results obtained by the weighting calculation. The preset weight of the accident level detection result of each feature can be specifically set according to historical experience, and can also be specifically analyzed and set according to actual conditions. For example, the incident level detection results may be characterized in terms of incident scores, with different incident scores corresponding to different incident levels. For example, when the value range of the accident score corresponding to the accident level detection result is [0,1], the accident level corresponding to the accident level detection result can be a slight accident; when the value range of the accident score corresponding to the accident level detection result is [1,2], the corresponding accident level can be a general accident; when the value range of the accident score corresponding to the accident level detection result is [2,3], the corresponding accident level can be a serious accident; when the value range of the accident score corresponding to the accident level detection result is [3,4], the corresponding accident level can be an oversized accident. It will be appreciated that the higher the accident score, the more severe its corresponding accident rating. For example, when the feature is a person, the preset weight of the corresponding accident level detection result may be set to 0.9; is characterized in that when an accident is carried out on the vehicle, the preset weight of the corresponding accident level detection result can be set to be 0.8; is characterized in that when an object is bumped, the preset weight of the corresponding accident level detection result can be set to be 0.7; wherein, when the character is characterized by a character, the corresponding accident score can be 3; is characterized in that when an accident is carried out on the vehicle, the corresponding accident score can be 4; is characterized in that when an object is bumped, the corresponding accident score can be 2; after the accident level detection results of each feature are weighted, the obtained weighted calculation result S may be:

It can be understood that after the weighted calculation is performed on the accident level detection results of each feature, the obtained weighted calculation result is 3.4, and belongs to the range of [3,4], so that the corresponding accident level is an extra large accident.

Step S403: the traffic police server determines police members according to the accident site information and the accident level.

The alert member may include an alert number and an alert list. In one possible embodiment, step S403 may include steps S4C1-S4C3 shown in FIG. 4C. Wherein:

step S4C1: and the traffic police server determines the police number according to the accident level.

In the embodiment of the application, the traffic police server can determine the police number according to the accident level. The higher the accident level, the more the police. For example, if the accident level is a mild accident, the number of police raised people may be 1 person; if the accident level is a serious accident, the number of police can be 5 or more.

Step S4C2: and the traffic police server determines an police list according to the accident site information.

The warning list can be specific personnel for warning. In one possible embodiment, step S4C2 may specifically include steps S4D1-S4D3 shown in fig. 4D. Wherein:

step S4D1: the traffic police server determines at least one free police officer in the area indicated by the accident site information according to the accident site information.

In an embodiment of the present application, the area indicated by the accident site information may be a district in the vicinity of the accident site. By way of example, it may be a jurisdiction of 3 km or 5 km within the place circle of the accident. An idle police officer may be a traffic police officer with relatively few transactions within the corresponding jurisdiction.

Step S4D2: the traffic police server calculates at least one expected arrival time of at least one idle police officer.

The method for calculating the estimated time of arrival may refer to the method of fig. 2C, and will not be described herein.

Step S4D3: an alert list is determined based on the at least one expected arrival time.

After the calculation result of at least one estimated arrival time of at least one idle police officer is obtained, the alarm list is a plurality of idle police officers with the shortest estimated arrival time according to the number of the police officers. For example, the number of police officers is 2, and the police dispatch list can be two idle police officers with the shortest expected arrival time.

Step S4C3: and the traffic police server determines police members according to the police number and the police list.

Illustratively, "number of police officers: 1 person, alarm list: small a ", can also be" number of police: 2 people, alarm list: small a, small B).

Step S404: the traffic police server obtains real-time location information of the police member.

In the embodiment of the application, each traffic police in the police member can be provided with law enforcement equipment before the police are raised. The definition and function of the law enforcement device may be referred to in the foregoing description, and will not be described in detail herein. The traffic police server can obtain the real-time position information of the police member according to the received real-time position information of the law enforcement equipment.

Step S405: the traffic police server generates an alert prompt message.

The traffic police server can generate an alarm prompt message according to the real-time position information of the alarm member. The alert prompt message may also include information such as the expected arrival time, the identity information of the alert personnel, and the contact information of the alert personnel. Specific examples may refer to the foregoing descriptions, and are not described herein.

Step S406: and the traffic police server sends an alarm prompt message to the vehicle-mounted terminal.

Correspondingly, the vehicle-mounted terminal receives the warning prompt message.

Step S407: the vehicle-mounted terminal presents an alarm prompt message on the vehicle-mounted terminal or the mobile terminal associated with the user.

After receiving the warning prompt message sent by the traffic police server, the vehicle-mounted terminal can display the warning prompt message in a vehicle-mounted terminal display screen or a head-up display (HUD), and can also broadcast the warning prompt message through voice so that a user corresponding to the vehicle-mounted terminal can receive the warning prompt message in time. Or the vehicle-mounted terminal can also send out the warning prompt message to the mobile terminal associated with the user, so that the user can receive the warning prompt message in time.

In one possible implementation, the real-time location information of the alert member is displayed on a map module of the mobile terminal or the in-vehicle terminal associated with the user. The map module can be map software of the vehicle-mounted terminal and the mobile terminal, or can be map software of a third party.

It can be seen that the real-time position information of the police member is displayed on the vehicle-mounted terminal or the map module of the mobile terminal associated with the user, so that the user can more intuitively obtain the real-time position information of the police member, and the user experience is improved.

In the method shown in fig. 4A, it can be seen that the vehicle terminal sends an alert request message to the traffic police server after detecting a traffic accident. And the traffic police server generates an alarm prompt message comprising the alarm member and the real-time position of the alarm member according to the alarm request message and then sends the alarm prompt message to the vehicle-mounted terminal. The alarm member determines according to the accident location information and the accident level, and the accident level is determined according to the accident image. Therefore, the generated warning prompt message can be more targeted, and the efficiency of processing traffic accidents is improved. After the vehicle-mounted terminal receives the warning prompt message, the warning prompt message is presented on the vehicle-mounted terminal or the mobile terminal associated with the user, so that the user can receive the warning prompt message in time.

The foregoing details of the method according to the embodiments of the present application and the apparatus according to the embodiments of the present application are provided below.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a device for handling traffic accidents according to an embodiment of the application. As shown in fig. 5, the apparatus for handling traffic accidents may include at least one sensor 501, at least one processor 502, and a display component 503. Wherein the sensor 501, processor 502 and display component 503 are communicatively coupled via a bus 505.

When the device for handling traffic accidents is a vehicle-mounted terminal, the detailed description of each module is as follows:

the sensor 501, which may be a gravitational acceleration sensor, an angular velocity sensor, an ultrasonic radar, etc., may be communicatively coupled to the processor 502, which is configured to:

And detecting whether a traffic accident occurs.

The processor 502, which may be a digital processor, is configured to:

And receiving an alarm prompt message sent by the traffic police server, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member.

The display component 503, which may be a vehicle display screen, head Up Display (HUD), or mobile terminal display screen, or the like, is configured to:

presenting alert messages.

In one possible implementation, the processor 502 is further configured to:

in response to the at least one sensor detecting a traffic accident, controlling the intelligent assistant to provide an alert portal to the user; and

And responding to the at least one processor to receive an alarm instruction input by a user at an alarm entrance, and sending an alarm request message to the traffic police server.

In one possible implementation, the processor 502 is further configured to:

In one possible implementation, the display component 503 is further configured to:

And presenting an alert prompt message on the vehicle-mounted terminal or the mobile terminal associated with the user, wherein the real-time position information is displayed on a map module of the vehicle-mounted terminal or the mobile terminal associated with the user.

In one possible implementation, the processor 502 is further configured to:

Acquiring environment images inside and outside a vehicle; and

Detecting whether a traffic accident occurs according to the internal and external environment images of the vehicle;

The sensor 501 is further configured to:

and detecting whether traffic accidents occur according to the sensing technology.

When the traffic accident handling device is a traffic police server, the detailed description of each module is as follows:

The processor 502 is configured to:

In one possible implementation, the alert request message includes an incident image, and the processor 502 is further configured to:

Determining an accident level according to the accident image;

acquiring real-time position information of the police member; and

In one possible implementation, the processor 502 is further configured to:

determining the number of police according to the accident level;

Determining an alarm list according to accident site information; and

In one possible implementation, the processor 502 is further configured to:

An alert list is determined based on the at least one expected arrival time.

In one possible implementation, the processor 502 is further configured to:

Referring to fig. 6, fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the application. As shown in fig. 6, the computer device 600 includes a processor 601, a memory 602, and a communication interface 603, wherein the processor 601, the memory 602, and the communication interface 603 may be connected by a bus 604. The memory 602 stores a computer program 6024, the computer program 6024 being configured to be executed by the processor 601, the computer program 6024 implementing the method steps corresponding to the method embodiments described above.

The processor 601 is configured to execute instructions stored in the memory 602 to control the communication interface 603 to receive and transmit signals, thereby completing the steps of the method. The memory 602 may be integrated into the processor 601 or may be provided separately from the processor 601.

Memory 602 may also include a storage system 6021, a cache 6022, and random access memory (random access memory, RAM) 6023. Wherein the cache 6022 is a primary memory existing between the RAM6023 and the central processing unit (central processing unit, CPU) and is composed of static memory chips (SRAM), has a smaller capacity but a much higher speed than the main memory, and approximates to the speed of the CPU; RAM6023 is an internal memory that exchanges data directly with the CPU, can be read and written at any time (except when refreshed), and is fast, typically as a temporary data storage medium for an operating system or other program in operation. The combination of the three implements the memory 602 function.

As an implementation, the functions of the communication interface 603 may be considered to be implemented by a transceiving circuit or a dedicated chip for transceiving. Processor 601 may be considered to be implemented by a dedicated processing chip, a processing circuit, a processor, or a general-purpose chip.

As another implementation, a manner of using a general purpose computer may be considered to implement the apparatus provided by the embodiments of the present application. I.e. program code implementing the functions of the processor 601, the communication interface 603 is stored in the memory 602, and the general purpose processor implements the functions of the processor 601, the communication interface 603 by executing the code in the memory 602.

The concepts related to the technical solutions provided by the embodiments of the present application, explanation and detailed description of the concepts related to the embodiments of the present application and other steps refer to the foregoing methods or descriptions of the contents of the method steps performed by the apparatus in other embodiments, which are not repeated herein.

As another implementation of this embodiment, a computer-readable storage medium is provided, on which instructions are stored, which when executed perform the method in the method embodiment described above.

As another implementation of this embodiment, a computer program product is provided that contains instructions that, when executed, perform the method of the method embodiment described above.

According to the method and apparatus provided by the embodiment of the present application, the embodiment of the present application further provides a system, the composition manner of which may be shown in fig. 1, and the executed method may be described in the method embodiment, which is not repeated herein.

As another implementation of this embodiment, the computer device 600 may communicate with one or more external devices 605 (e.g., an in-vehicle terminal, a mobile terminal, or a wearable device), and/or with any device (e.g., a network card, a modem, etc.) that enables the computer device to communicate with one or more other computing devices. Such communication may be through a communication interface 603. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in connection with another computer device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

Those skilled in the art will appreciate that only one memory and processor is shown in fig. 6 for ease of illustration. In an actual terminal or server, there may be multiple processors and memories. The memory 602 may also be referred to as a storage medium or storage device, and the embodiments of the present application are not limited in this regard.

It is to be appreciated that in embodiments of the present application, the processor 601 may be a central processing unit (central processing unit, CPU), which may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processing, DSP), application Specific Integrated Circuits (ASIC), off-the-shelf programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like.

It should also be appreciated that the memory 602 referred to in embodiments of the application may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an erasable programmable ROM (erasable PROM), an electrically erasable programmable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (STATIC RAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (double DATA RATE SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory synchronize link DRAM, SLDRAM), and direct memory bus random access memory (direct rambus RAM, DR RAM).

It is noted that when the processor 601 is a general purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, a memory (storage module) is integrated in the processor.

It should be noted that the memory 602 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

The bus 604 may include a power bus, a control bus, a status signal bus, and the like in addition to a data bus. But for clarity of illustration, the various buses are labeled as buses in the figures.

In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method. To avoid repetition, a detailed description is not provided herein.

In various embodiments of the present application, the sequence number of each process does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Those of ordinary skill in the art will appreciate that the various illustrative logical blocks (illustrative logical block, ILB) and steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc., that contain an integration of one or more available media. Usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state disk), among others.

The embodiment of the present application also provides a computer storage medium, in which a computer program is stored, where the computer program is executed by a processor to implement part or all of the steps of any one of the methods for handling traffic accidents described in the above method embodiments.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods of handling traffic accidents as described in the method embodiments above.

The foregoing is merely illustrative embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present application, and the application should be covered. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

1. A method of handling traffic accidents comprising the steps of:

in response to detecting a traffic accident, sending an alarm request message to a traffic police server, wherein the alarm request message comprises identification information of an accident vehicle and accident site information;

receiving an alarm prompt message sent by the traffic police server, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member; and

And presenting the alarm prompt message.

2. The method of claim 1, the sending a traffic police request message to a traffic police server in response to detecting a traffic accident, comprising the steps of:

And responding to the alarm instruction input by the user at the alarm entrance, and sending the alarm request message to the traffic police server.

3. The method of claim 1 or 2, the alert request message comprising an incident image, the incident image determined based on:

acquiring an environment image of the accident vehicle within a preset time period; and

An accident image is determined from the environmental image of the accident vehicle.

4. A method according to claim 3, the alert member being determined from the accident site information and an accident level, the accident level being determined from the accident image.

5. The method of claim 1, the presenting the alert prompt message comprising at least one of:

Controlling an intelligent assistant to present the alert prompt message to a user, and controlling the intelligent assistant to update the real-time location information and the estimated time of arrival based on a predetermined time interval; and

Broadcasting the warning prompt message to non-accident vehicles within a preset range of the accident vehicle so as to prompt the non-accident vehicles to avoid.

6. The method according to claim 1 or 5, said presenting said alert prompt message comprising the steps of:

And presenting the warning prompt message on the vehicle-mounted terminal or the mobile terminal associated with the user, wherein the real-time position information is displayed on a map module of the vehicle-mounted terminal or the mobile terminal associated with the user.

7. The method of claim 1, further comprising, in response to detecting a traffic accident, before sending an alert request message to a traffic police server, the steps of:

Acquiring environment images inside and outside a vehicle; and

Detecting whether a traffic accident occurs according to the internal and external environment images of the vehicle; or alternatively

8. A method of handling traffic accidents comprising the steps of:

9. The method of claim 8, wherein the alert request message includes an accident image, and the generating an alert prompt message according to the alert request message is performed to transmit to the vehicle-mounted terminal, comprising the steps of:

Determining an accident level according to the accident image;

Acquiring real-time position information of the police member; and

And generating an alarm prompt message to be sent to the vehicle-mounted terminal, wherein the alarm prompt message comprises the alarm member, the expected arrival time and the real-time position information of the alarm member.

10. The method of claim 9, said determining an accident level from said accident image comprising the steps of:

Inputting the target feature set into an accident level detection model to obtain accident level detection results of all the features; and

And determining the accident level according to the accident level detection results of the features.

11. The method of claim 9, said determining an alert member based on said accident location information and said accident level, comprising the steps of:

Determining the number of police according to the accident level;

determining an alarm list according to the accident site information; and

And determining police members according to the police number and the police list.

12. The method of claim 11, said determining a warning list from said accident site information, comprising the steps of:

calculating at least one estimated time of arrival for said at least one idle police officer; and

And determining an alert list based on the at least one expected arrival time.

13. The method according to any of claims 8-12, the estimated time of arrival being determined based on the steps of:

Acquiring road section characteristics of the to-be-started route, wherein the road section characteristics comprise road section length, traffic light quantity and average speed limit; and

And determining the expected arrival time according to the road section characteristics.

14. An apparatus for handling traffic accidents, comprising: at least one sensor, a display assembly, and at least one processor communicatively coupled to the at least one sensor and the display assembly; wherein,

The at least one sensor is configured to detect whether a traffic accident occurs;

The at least one processor is configured to:

in response to the at least one sensor detecting the occurrence of a traffic accident, sending an alarm request message to a traffic police server, wherein the alarm request message comprises identification information of an accident vehicle and accident location information; and

Receiving an alarm prompt message sent by the traffic police server, wherein the alarm prompt message comprises an alarm member, expected arrival time and real-time position information of the alarm member;

the display component is configured to present the alert prompt message.

15. A computer device comprising a processor, a memory and a communication interface, wherein the memory stores a computer program configured to be executed by the processor, the computer program comprising instructions for performing the steps of the method of any of claims 1-7 or 8-13.

16. A computer readable storage medium storing a computer program that causes a computer to execute to implement the method of any one of claims 1-7 or 8-13.