CN117360533A

CN117360533A - Driving behavior safety assessment method and system

Info

Publication number: CN117360533A
Application number: CN202210762197.7A
Authority: CN
Inventors: 周碧云
Original assignee: Bayerische Motoren Werke AG
Current assignee: Bayerische Motoren Werke AG
Priority date: 2022-06-30
Filing date: 2022-06-30
Publication date: 2024-01-09

Abstract

The invention provides a driving behavior safety evaluation method and system for a vehicle, wherein the method comprises the steps of acquiring driving data of each driving road section of the vehicle in each of a plurality of strokes and environment data about the surrounding environment of the corresponding driving road section, wherein the environment data comprises traffic data, traffic flow and road characteristics; carrying out data fusion on the acquired driving data and environment data of each driving road section to evaluate the driving behavior safety degree of a driver on the corresponding driving road section; the driving behavior safety degree of the driver in the corresponding journey is evaluated by combining the evaluation results of the plurality of driving road sections; and evaluating the personal driving behavior safety degree of the driver by combining evaluation results of the plurality of strokes. The invention also provides a vehicle supporting the driving behavior safety evaluation function.

Description

Driving behavior safety assessment method and system

Technical Field

The invention relates to the field of Internet of vehicles, in particular to a driving behavior safety evaluation method and system for vehicles.

Background

Conventional vehicle insurance relies on vehicle static information including, for example, driver information, vehicle type, historical driving violation records, and number of accidents, etc., however, such static information does not accurately reflect vehicle usage and driver driving behavior.

With the development of the internet of vehicles, there is currently a use-based vehicle insurance that obtains usage data of a vehicle end, including, for example, driving mileage, frequency of use, time of use, driving behavior (rapid acceleration, rapid deceleration, etc.), etc., by accessing an on-board diagnostic system (OBD) to a CAN bus of a vehicle, and performs a safety rating for a driver based on the usage of the vehicle, the higher the safety rating, the lower the premium paid. In addition, unsafe factors in the driving behavior of the user can be reduced by reminding the user when unsafe driving behavior is detected, so that accident risk is reduced. However, considering only usage data at the vehicle end may lead to inaccurate assessment of the safety of the user's driving behavior, e.g., rapid acceleration is relatively safe in a smooth highway section, and relatively unsafe in a congested urban highway section.

Accordingly, in order to evaluate the driving behavior safety of the driver in a more accurate manner, thereby enabling the driver to voluntarily improve driving safety, reduce accident risk, and reduce insurance rates of these low claims risk users, for example, when interfacing with insurance businesses, thereby further improving user experience, it is desirable to be able to provide a driving behavior safety evaluation method and system for a vehicle.

Disclosure of Invention

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

According to a first aspect of the present invention, there is provided a driving behavior safety evaluation method for a vehicle, the method comprising: acquiring driving data of each driving road section of the vehicle in each of a plurality of routes and environment data about the surrounding environment of the corresponding driving road section, wherein the environment data comprises traffic data, traffic flow and road characteristics; carrying out data fusion on the acquired driving data and environment data of each driving road section to evaluate the driving behavior safety degree of a driver on the corresponding driving road section; the driving behavior safety degree of the driver in the corresponding journey is evaluated by combining the evaluation results of the plurality of driving road sections; and evaluating the personal driving behavior safety degree of the driver by combining evaluation results of the plurality of strokes.

Thus, the present invention improves the user experience by data fusing vehicle-side data (including, for example, vehicle speed, acceleration, deceleration, etc.) with city brain data (including, for example, traffic data, traffic flow, road characteristics, etc.), and more accurately analyzing and assessing the risk of driving behavior of the driver in various aspects (e.g., overspeed, shifting, rapid acceleration, rapid deceleration, etc.) based on data analysis of each trip, thereby providing a more accurate assessment of the driving behavior safety level, for example, in providing a premium rate in combination with driving safety.

According to one embodiment of the invention, the travel data includes one or more of vehicle speed per hour, vehicle acceleration or vehicle deceleration.

According to a further embodiment of the invention, the traffic data is collected based on road side equipment of the respective travel segment and comprises an average vehicle speed of the respective travel segment.

According to a further embodiment of the invention, the traffic flow is calculated based on traffic data and road capacity of the respective driving section.

According to a further embodiment of the invention, the road features comprise static road features comprising road type or speed limit and dynamic road features comprising road construction, weather conditions or pedestrians.

According to a further embodiment of the present invention, the data fusion of the acquired travel data and environment data for each travel section further includes: and carrying out fusion analysis on the driving behavior safety degree of the driver in terms of a plurality of driving behaviors according to the acquired driving data and environment data of each driving road section so as to evaluate the driving behavior safety degree of the driver in the corresponding driving road section, wherein the driving behaviors comprise one or more of speed change, overspeed, acceleration, deceleration or sharp turning.

According to a further embodiment of the present invention, analyzing the driving behavior safety of the driver in terms of speed change from the acquired driving data and environmental data for each driving section further includes: determining the speed change of the vehicle on the corresponding driving road section according to the acquired vehicle speed per hour and average vehicle speed of each driving road section; determining the traffic jam degree of the corresponding driving road section according to the acquired traffic flow; and evaluating the driving behavior safety degree of the driver on the corresponding driving road section according to the determined speed change and the traffic jam degree of the vehicle.

According to a further embodiment of the present invention, analyzing driving behavior safety of the driver in terms of overspeed according to the acquired driving data and environmental data of each driving section further includes: determining the traffic congestion degree of each driving road section according to the acquired traffic flow of each driving road section; and evaluating the driving behavior safety degree of the driver on the corresponding driving road section according to the determined traffic jam degree and the road type of the corresponding driving road section.

According to a further embodiment of the present invention, analyzing the driving behavior safety of the driver in terms of acceleration from the acquired driving data and environmental data of each driving section further includes: determining the traffic congestion degree of each driving road section according to the acquired traffic flow of each driving road section; and evaluating the driving behavior safety of the driver on the corresponding driving road section according to the determined traffic jam degree and the vehicle acceleration of the corresponding driving road section.

According to a further embodiment of the present invention, analyzing the driving behavior safety of the driver in terms of deceleration from the acquired driving data and environmental data for each driving section further includes: determining the necessity of rapid deceleration of the vehicle on the corresponding driving road section according to the acquired road characteristics of each driving road section; and evaluating the driving behavior safety of the driver on the corresponding driving road section according to the determined necessity of sudden deceleration of the vehicle and the vehicle deceleration of the corresponding driving road section.

According to a second aspect of the present invention, there is provided a driving behavior safety evaluation system for a vehicle, the system comprising: a data acquisition module configured to acquire travel data of each travel section of the vehicle in each of a plurality of travels and environmental data about a surrounding environment of the corresponding travel section, the environmental data including traffic data, traffic flow, and road characteristics; the data fusion module is configured to perform data fusion on the acquired driving data and environment data of each driving road section so as to evaluate the driving behavior safety degree of a driver on the corresponding driving road section; and an evaluation module configured to: the driving behavior safety degree of the driver in the corresponding journey is evaluated by combining the evaluation results of the plurality of driving road sections; and evaluating the personal driving behavior safety degree of the driver by combining evaluation results of the plurality of strokes.

According to one embodiment of the invention, the travel data includes one or more of a vehicle speed, a vehicle acceleration, or a vehicle deceleration, the traffic data includes an average vehicle speed for a respective travel segment, the traffic flow is calculated based on traffic data and road capacity for the respective travel segment, and the road characteristics include static road characteristics and dynamic road characteristics.

According to a further embodiment of the invention, the data fusion module is further configured to: and carrying out fusion analysis on the driving behavior safety degree of the driver in terms of a plurality of driving behaviors according to the acquired driving data and environment data of each driving road section so as to evaluate the driving behavior safety degree of the driver in the corresponding driving road section, wherein the driving behaviors comprise one or more of speed change, overspeed, acceleration, deceleration or sharp turning.

According to a third aspect of the present invention, there is provided a vehicle having a driving behavior security evaluation function, the vehicle comprising: at least one sensor configured to acquire travel data for each travel segment of the vehicle in each of a plurality of trips; a networking device configured to obtain environmental data about the surroundings of a respective travel segment, the environmental data including traffic data, traffic flow, and road characteristics; and a driving behavior safety evaluation system as in any one of the preceding aspects.

According to a fourth aspect of the present invention there is provided a computer readable storage medium storing instructions that when executed cause a machine to perform the method of any of the preceding aspects.

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

Drawings

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

Fig. 1 shows a schematic architecture diagram of a driving behavior safety assessment system according to an embodiment of the present invention.

Fig. 2A-2D show schematic diagrams of driving behavior safety assessment in different scenarios according to an embodiment of the invention.

Fig. 3 shows a schematic flow chart of a driving behavior safety evaluation method according to an embodiment of the invention.

FIG. 4 illustrates an exemplary vehicle supporting driving behavior safety assessment according to one embodiment of the invention.

Fig. 5 shows a schematic architecture diagram of a driving behavior safety assessment system according to an embodiment of the present invention.

Detailed Description

The features of the present invention will become more apparent from the detailed description set forth below when taken in conjunction with the drawings. The term "vehicle" as used throughout the specification refers to any type of automobile, including but not limited to cars, vans, trucks, buses, and the like. For simplicity, the invention is described with respect to "automobiles". The term "a or B" as used in the specification means "a and B" and "a or B", and does not mean that a and B are exclusive unless otherwise indicated.

Fig. 1 is a schematic diagram of the architecture of a driving behavior safety assessment system 100 according to one embodiment of the present invention. As shown in fig. 1, the driving behavior safety evaluation system 100 may include at least a data acquisition module 101, a data fusion module 102, and an evaluation module 103.

The data acquisition module 101 may acquire travel data of each travel section of the vehicle in each of the plurality of travels and environmental data about the surrounding environment of each travel section, wherein the environmental data may include traffic data, traffic flow, and road characteristics. In one embodiment, the travel data may include one or more of vehicle speed per hour, vehicle acceleration, or vehicle deceleration. In one embodiment, traffic data is collected based on road side equipment (e.g., cameras on the road side) of each travel segment, and an average vehicle speed for each travel segment may be calculated based on the collected traffic data. In a further embodiment, the traffic flow may be calculated based on traffic data (e.g., average vehicle speed) and road capacity of each traveling road section, and thus the degree of traffic congestion of the road section may be determined. In one embodiment, the road features may include static road features, which may include road type or speed limit, and dynamic road features, which may include road construction, weather conditions, or pedestrians.

The data fusion module 102 may perform data fusion on the acquired driving data and environmental data of each driving road segment to evaluate the driving behavior safety of the driver on the corresponding driving road segment. In one embodiment, the data fusion module 102 may perform fusion analysis on the driving behavior safety of the driver in terms of multiple driving behaviors according to the acquired driving data and environmental data of each driving road segment to evaluate the driving behavior safety of the driver in the corresponding driving road segment, wherein the driving behaviors may include one or more of speed change, overspeed, acceleration, deceleration, or sharp turns. Further, in the case where the driving behavior safety of the driver in terms of speed change is analyzed from the acquired driving data and environmental data of each driving section, the data fusion module 102 may determine the speed change of the vehicle in the corresponding driving section from the acquired vehicle speed per hour and average vehicle speed of each driving section, determine the traffic congestion degree of the corresponding driving section from the acquired traffic flow, and evaluate the driving behavior safety of the driver in the corresponding driving section from the determined speed change of the vehicle and the traffic congestion degree. In the case where the driving behavior safety of the driver in terms of overspeed is analyzed from the acquired driving data and environmental data of each driving section, the data fusion module 102 may determine the degree of traffic congestion of the corresponding driving section from the acquired traffic flow of each driving section and evaluate the driving behavior safety of the driver in the corresponding driving section from the determined degree of traffic congestion and the road type of the corresponding driving section. In the case where the driving behavior safety of the driver in terms of acceleration is analyzed based on the acquired driving data and environmental data of each driving section, the data fusion module 102 may determine the degree of traffic congestion of the corresponding driving section based on the acquired traffic flow of each driving section, and evaluate the driving behavior safety of the driver in the corresponding driving section based on the determined degree of traffic congestion and the vehicle acceleration of the corresponding driving section. In the case where the driving behavior safety of the driver in terms of deceleration is analyzed from the acquired travel data and environmental data of each travel section, the data fusion module 102 may determine the necessity of rapid deceleration of the vehicle in the corresponding travel section from the acquired road characteristics of each travel section, and evaluate the driving behavior safety of the driver in the corresponding travel section from the determined necessity of rapid deceleration of the vehicle and the vehicle deceleration of the corresponding travel section.

The evaluation module 103 may evaluate the driving behavior safety of the driver on the corresponding journey in combination with the evaluation results of the plurality of driving road segments, and evaluate the personal driving behavior safety of the driver in combination with the evaluation results of the plurality of journey. In one embodiment, the driving behavior safety degree may be rated by way of a score, and the driving behavior safety degrees of the plurality of driving road sections may be aggregated to obtain the driving behavior safety degree of the journey including the plurality of driving road sections. The above aggregation may be performed, for example, by taking an average. Similarly, driving behavior safety levels for multiple trips may be aggregated to derive individual driving behavior safety levels for the driver, thereby providing a more accurate assessment of driving behavior risk, e.g., in providing a premium rate in combination with driving safety levels, improving user experience.

Those skilled in the art will appreciate that the driving behavior safety assessment system of the present invention may be implemented in hardware or software, and that the modules may be combined or combined in any suitable manner. The system may be implemented on the vehicle side or on the mobile device side.

Fig. 2A-2D show schematic diagrams of driving behavior safety assessment in different scenarios according to an embodiment of the invention. Referring to the scenes shown in fig. 2A and 2B, a scene in which a vehicle travels on a clear urban expressway is shown in fig. 2A, and a scene in which a vehicle travels on a congested urban expressway is shown in fig. 2B. The driver's driving behavior safety assessment in terms of speed change, overspeed and acceleration in the above two scenarios can be referred to the following tables 1-3.

Table 1: driving behavior safety assessment with respect to speed variation

As shown in table 1, the driving behavior safety of the driver at each travel section may be evaluated based on the speed variation of the vehicle, which is the difference between the vehicle speed at each travel section and the average vehicle speed, and the degree of traffic congestion. For clarity, in table 1, traffic flow is divided into only two levels according to the degree of road traffic congestion, i.e., clear and congested, speed change is divided into low and high, driving behavior safety is evaluated with "+", the more "+", the higher the driving behavior risk, the lower the driving behavior safety. As can be seen from table 1, the driving behavior risk is lower regardless of the degree of traffic congestion when the speed variation is low (e.g., below a preset threshold), and the driving behavior risk is higher the degree of traffic congestion when the speed variation is high (e.g., above a preset threshold). In the scenario shown in fig. 2A, if the speed change of the vehicle is high, the risk of the driving behavior is relatively low (e.g., the driving behavior risk is evaluated as "+"), whereas in the scenario shown in fig. 2B, if the speed change of the vehicle is high, the risk of the driving behavior is relatively high (e.g., the driving behavior risk is evaluated as "++).

Table 2: driving behavior safety assessment for overspeed

As shown in table 2, the driving behavior safety of the driver at each travel section may be evaluated based on the road type and the degree of traffic congestion. For clarity, in table 2, traffic flow is divided into clear and congested, and road types consider only urban expressways or arterial roads. As can be seen from table 2, the risk of overspeed behavior of the vehicle in a congested situation is higher compared to overspeed behavior of the vehicle in a clear situation, and the risk of overspeed behavior of the vehicle in the arterial road is higher compared to overspeed behavior of the vehicle in the urban expressway. In the scenario shown in fig. 2A, if overspeed behavior is detected (i.e., the vehicle speed exceeds the speed limit of the current travel segment), the driving behavior risk is evaluated as "+", whereas in the scenario shown in fig. 2B, if overspeed behavior is detected, c "++".

Table 2: driving behavior safety assessment with respect to acceleration

As shown in table 3, the driving behavior safety of the driver at each travel section may be evaluated based on the vehicle acceleration and the degree of traffic congestion. For clarity, in Table 3, traffic flow is divided into clear and congested, acceleration is divided into smaller values (e.g., 0.5m/s ² ) And a larger value (e.g., 1m/s ² ). As can be seen from table 3, the risk of acceleration behavior of the vehicle in a congested situation is higher compared to the acceleration behavior of the vehicle in a clear situation, wherein acceleration of the vehicle with a larger value in a clear situation may indicate a good handling of the vehicle by the driver, whereas the risk of acceleration of the vehicle with a larger acceleration in a congested road section is higher compared to acceleration of the vehicle with a smaller acceleration in a congested road section. In the scenario shown in fig. 2A, the risk of acceleration of the vehicle in an unobstructed road segment is low. In the scenario shown in fig. 2B, if the vehicle accelerates with a small value, the driving behavior risk is evaluated as "+", and if the vehicle accelerates with a large value, the driving behavior risk is evaluated as "++".

Referring to the scenes shown in fig. 2C and 2D, a scene in which a vehicle travels on a normal travel section is shown in fig. 2C, and a scene in which a travel section on which a vehicle is located is being constructed is shown in fig. 2D. The evaluation of the driving behavior safety of the driver in terms of deceleration in the above two scenarios can be referred to table 4 below.

Table 4: driving behavior safety assessment with respect to deceleration

As shown in table 4, the driving behavior safety of the driver at each travel section may be evaluated based on the deceleration of the vehicle and the degree of traffic congestion. For clarity of illustrationIn Table 4, the deceleration is divided into smaller values (e.g., 10m/s ² ) And a larger value (e.g., 12m/s ² ). As can be seen from table 4, the risk of the vehicle decelerating at a greater deceleration in normal situations is higher than if the vehicle decelerating at a smaller deceleration in normal situations. In particular cases, however, the rapid deceleration behavior of the vehicle is not determined as a risk behavior, for example, in the case where a pedestrian suddenly appears in a blind spot of a visual field or a current road section is being constructed, a rapid brake may represent a rapid reaction of the driver to the sudden time. In the scenario shown in fig. 2C, if the vehicle is decelerating with a small value, the driving behavior risk is evaluated as "+", and if the vehicle is decelerating with a large value, the driving behavior risk is evaluated as "++". In the scenario shown in fig. 2D, since the rapid deceleration behavior of the vehicle is necessary because the road section on which the vehicle is traveling is being constructed, it is not determined as a risk behavior.

Therefore, the driving behavior safety degree of the driver in various driving behaviors can be accurately estimated by fusing the data from the vehicle end and the urban brain, so that the driver can consciously improve the driving safety and reduce the accident risk. It will be appreciated that the above-described division of traffic congestion levels, road types, accelerations, decelerations, speed changes is merely an example, and may be divided in other ways (e.g., dividing the traffic congestion levels into 3 or 5 levels).

Fig. 3 shows a schematic flow chart of a driving behavior safety assessment method 300 according to an embodiment of the invention. The method 300 begins at step 301 with the data acquisition module 101 acquiring travel data for each travel segment of the vehicle in each of a plurality of trips and environmental data regarding the surrounding environment of the respective travel segment, wherein the environmental data includes traffic data, traffic flow, and road characteristics. The travel data acquired from the vehicle end may include one or more of a vehicle speed per hour, a vehicle acceleration, or a vehicle deceleration. Traffic data may include average vehicle speed for each travel segment, which may be collected by way of a roadside camera for the corresponding travel segment. The traffic flow may be calculated based on traffic data and road capacity for each travel segment. The road features may include static road features, which may include road type or speed limit, and dynamic road features, which may include road construction, weather conditions, or pedestrians.

At 302, the data fusion module 102 may perform data fusion on the acquired driving data and environmental data of each driving road segment to evaluate driving behavior safety of the driver on the corresponding driving road segment. In one embodiment, the data fusion operation may include fusion analysis of the driver's driving behavior safety in terms of multiple driving behaviors, which may include, but are not limited to, speed change, overspeed, acceleration, deceleration, or tight turns, based on the acquired driving data and environmental data for each driving road segment.

At 303, the evaluation module 103 may further evaluate the driving behavior safety of the driver on the corresponding journey by combining the evaluation results of the plurality of driving road segments.

At 304, the assessment module 103 may combine the assessment results of the plurality of trips to further assess the driver's personal driving behavior safety. The above-described evaluation results of the driving behavior safety may be scored, and the process of further evaluating the plurality of evaluation results may be performed by taking an average/total score.

FIG. 4 illustrates an exemplary vehicle 400 supporting driving behavior safety assessment in accordance with one embodiment of the present invention. The vehicle 400 may include at least one sensor 402 configured to collect travel data (e.g., vehicle speed, acceleration, deceleration) for each travel segment of the vehicle in each of a plurality of trips. The vehicle 400 may also include a communication device 404, where the communication device 404 may obtain environmental data about the surrounding environment of each travel segment from a cloud or roadside apparatus, where the environmental data may include traffic data, traffic flow, and road characteristics. The vehicle 400 may further include a driving behavior safety assessment system 100 as shown in fig. 1, which acquires driving data from a vehicle end and environmental data of the surrounding environment of a driving section where the vehicle is located from a road side device or a cloud end, analyzes driving behavior safety of each driving section through data fusion, obtains driving behavior safety of a corresponding trip in combination with the analysis result of each driving section, and obtains personal driving behavior safety of a driver in combination with the analysis result of each trip.

Fig. 5 shows a schematic architecture diagram of a driving behavior safety assessment system 500 according to an embodiment of the present invention. As shown in fig. 5, system 500 may include a memory 501 and at least one processor 502. Memory 501 may include RAM, ROM, or a combination thereof. Memory 501 may store computer-executable instructions that, when executed by at least one processor 502, cause the at least one processor 502 to perform the various functions described herein, including: acquiring travel data of each travel section of the vehicle in each of a plurality of travels and environmental data about the surrounding environment of the corresponding travel section, the environmental data including traffic data, traffic flow, and road characteristics; carrying out data fusion on the acquired driving data and environment data of each driving road section to evaluate the driving behavior safety degree of a driver on the corresponding driving road section; the driving behavior safety degree of the driver in the corresponding journey is evaluated by combining the evaluation results of the plurality of driving road sections; and evaluating the personal driving behavior safety degree of the driver by combining evaluation results of the plurality of strokes. In some cases, memory 501 may include, among other things, a BIOS that may control basic hardware or software operations, such as interactions with peripheral components or devices. The processor 902 may include an intelligent hardware device (e.g., a general purpose processor, DSP, CPU, microcontroller, ASIC, FPGA, programmable logic device, discrete gate or transistor logic components, discrete hardware components, or any combination thereof).

The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software for execution by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope of the disclosure and the appended claims. For example, due to the nature of software, the functions described herein may be implemented using software executed by a processor, hardware, firmware, hardwired or any combination thereof. Features that implement the functions may also be physically located in various places including being distributed such that parts of the functions are implemented at different physical locations.

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

Claims

1. A driving behavior safety evaluation method for a vehicle, the method comprising:

acquiring driving data of each driving road section of the vehicle in each of a plurality of routes and environment data about the surrounding environment of the corresponding driving road section, wherein the environment data comprises traffic data, traffic flow and road characteristics;

carrying out data fusion on the acquired driving data and environment data of each driving road section to evaluate the driving behavior safety degree of a driver on the corresponding driving road section;

combining the evaluation results of the plurality of driving road sections to further evaluate the driving behavior safety degree of the driver on the corresponding journey; and

and further evaluating the personal driving behavior safety degree of the driver by combining evaluation results of a plurality of strokes.

2. The method of claim 1, wherein the travel data comprises one or more of a vehicle speed per hour, a vehicle acceleration, or a vehicle deceleration.

3. The method of claim 1, wherein the traffic data is collected based on road side equipment of the respective travel segment and includes an average vehicle speed of the respective travel segment.

4. The method of claim 3, wherein the traffic flow is calculated based on traffic data and road capacity of the corresponding travel segment.

5. The method of claim 1, wherein the road features comprise static road features including road type or speed limit and dynamic road features including road construction, weather conditions, or pedestrians.

6. The method of claim 1, wherein data fusing the acquired travel data and environmental data for each travel segment further comprises:

and carrying out fusion analysis on the driving behavior safety degree of the driver in terms of a plurality of driving behaviors according to the acquired driving data and environment data of each driving road section so as to evaluate the driving behavior safety degree of the driver in the corresponding driving road section, wherein the driving behaviors comprise one or more of speed change, overspeed, acceleration, deceleration or sharp turning.

7. The method of claim 6, wherein analyzing the driving behavior safety of the driver in terms of speed variation based on the acquired driving data and environmental data for each driving section further comprises:

determining the speed change of the vehicle on the corresponding driving road section according to the acquired vehicle speed per hour and average vehicle speed of each driving road section;

determining the traffic jam degree of the corresponding driving road section according to the acquired traffic flow; and

and evaluating the driving behavior safety degree of the driver on the corresponding driving road section according to the determined speed change and the traffic jam degree of the vehicle.

8. The method of claim 6, wherein analyzing the driving behavior safety of the driver in terms of overspeed based on the acquired driving data and environmental data for each driving section further comprises:

determining the traffic congestion degree of each driving road section according to the acquired traffic flow of each driving road section; and

when the overspeed of the vehicle is detected, the driving behavior safety degree of the driver on the corresponding driving road section is evaluated according to the determined traffic jam degree and the road type of the corresponding driving road section.

9. The method of claim 6, wherein analyzing the driving behavior safety of the driver in terms of acceleration based on the acquired driving data and environmental data for each driving section further comprises:

and evaluating the driving behavior safety degree of the driver on the corresponding driving road section according to the determined traffic jam degree and the vehicle acceleration of the corresponding driving road section.

10. The method of claim 6, wherein analyzing the driving behavior safety of the driver in terms of deceleration based on the acquired driving data and environmental data for each driving section further comprises:

determining the necessity of rapid deceleration of the vehicle on the corresponding driving road section according to the acquired road characteristics of each driving road section; and

the driving behavior safety of the driver on the corresponding travel section is evaluated based on the determined necessity of rapid deceleration of the vehicle and the vehicle deceleration of the corresponding travel section.

11. A driving behavior safety evaluation system (100) for a vehicle, the system (100) comprising:

a data acquisition module (101), the data acquisition module (101) being configured to acquire travel data of each travel section of the vehicle in each of a plurality of travels and environmental data about a surrounding environment of the respective travel section, the environmental data including traffic data, traffic flow, and road characteristics;

the data fusion module (102) is configured to perform data fusion on the acquired driving data and environment data of each driving road section so as to evaluate the driving behavior safety degree of a driver on the corresponding driving road section; and

an evaluation module (103), the evaluation module (103) being configured to:

12. The system of claim 11, wherein the travel data comprises one or more of vehicle speed, vehicle acceleration, or vehicle deceleration, the traffic data comprises an average vehicle speed for a respective travel segment, the traffic flow is calculated based on traffic data and road capacity for the respective travel segment, and the road characteristics comprise static road characteristics and dynamic road characteristics.

13. The system of claim 11, wherein the data fusion module (102) is further configured to:

14. A vehicle having a driving behavior safety evaluation function, the vehicle comprising:

at least one sensor (402), the at least one sensor (402) configured to acquire travel data for each travel segment of the vehicle in each of a plurality of trips;

-a communication device (404), the communication device (404) being configured to obtain environmental data about the surroundings of the respective travel section, the environmental data comprising traffic data, traffic flow and road characteristics; and

the driving behavior safety assessment system (100) according to any one of claims 11-13.

15. A computer readable storage medium storing instructions that, when executed, cause a machine to perform the method of any of claims 1-10.