CN-116142207-B - Driving behavior processing method, device, equipment and storage medium

CN116142207BCN 116142207 BCN116142207 BCN 116142207BCN-116142207-B

Abstract

The invention relates to the technical field of vehicles and discloses a driving behavior processing method, a device, equipment and a storage medium, wherein the method comprises the steps of obtaining current driving data of a vehicle and current road data of a driving road of the vehicle; the method comprises the steps of determining index data corresponding to each driving index according to current driving data and current road data, calculating index scores of each driving index according to the index data, processing the abnormal driving behaviors when abnormal driving behaviors exist in a user according to the index scores of each driving index, calculating the index scores of each driving index by utilizing the index data, comprehensively judging whether the abnormal driving behaviors exist in the user according to the index scores of each driving index, and if yes, processing the abnormal driving behaviors, thereby effectively improving the accuracy of determining the abnormal driving behaviors and timely processing the abnormal driving behaviors to improve driving safety.

Inventors

CHEN GANG
WANG JIANQING
CHEN JIE

Assignees

浙江吉利控股集团有限公司
浙江吉利远程新能源商用车集团有限公司
浙江远程商用车研发有限公司

Dates

Publication Date: 20260508
Application Date: 20230301

Claims (9)

1. A driving behavior processing method, characterized in that the driving behavior processing method comprises the steps of: acquiring current running data of a vehicle and current road data of a running road of the vehicle; Determining index data corresponding to each driving index according to the current driving data and the current road data; Calculating an index score of each driving index according to the index data; when the abnormal driving behaviors of the user are comprehensively determined according to the index scores of the driving indexes, processing the abnormal driving behaviors; the calculating the index score of each driving index according to the index data comprises the following steps: Determining an economic driving index data reference value, a safety driving index data reference value and a normative driving index data reference value; obtaining economic driving index data, safety driving index data and normative driving index data according to the index data; Determining energy consumption data and abnormal driving times according to the economic driving index data; calculating an index score of the economic driving index according to the energy consumption data, the abnormal driving times and the economic driving index data reference value; Determining abnormal driving duration, abnormal treading times and abnormal carrying data according to the safety driving index data; Calculating an index score of the safety driving index according to the abnormal driving duration, the abnormal trampling times, the abnormal carrying data and the safety driving index data reference value; and calculating an index score of the normalized driving index according to the normalized driving index data and the normalized driving index data reference value.
2. The driving behavior processing method according to claim 1, wherein the determining the index data corresponding to each driving index from the current driving data and the current road data includes: respectively carrying out mean value aggregation on the current driving data and the current road data; obtaining the speed of the vehicle, the rotating speed of the driving motor and the charging state according to the current running data after the average aggregation; cleaning running data with the speed being a preset speed threshold and the rotating speed being smaller than the preset rotating speed threshold and the charging state being a preset state to obtain target running data; Dividing the target running data and the current road data after mean aggregation through a preset running index rule to obtain index data corresponding to each running index.
3. The driving behavior processing method according to claim 1, wherein the determining of the energy consumption data and the abnormal number of times of driving based on the economic driving index data includes: determining the speed difference and the turning radius at adjacent moments according to the economic driving index data; Determining abnormal running times according to the speed difference and the turning radius at the adjacent time; determining total recovered electric quantity and total consumed electric quantity according to the economic driving index data; And determining energy consumption data according to the total recovered electric quantity and the total consumed electric quantity.
4. The driving behavior processing method according to claim 1, wherein the determining of the abnormal travel duration, the number of abnormal steps, and the abnormal delivery data from the safe driving index data includes: Obtaining the current gear, the current speed and the on-off interval time of the vehicle according to the safety driving index data; determining abnormal driving duration according to the current gear, the current vehicle speed and the vehicle power-on/off interval time; Obtaining pedal opening at adjacent moments according to the safety driving index data; determining abnormal treading times according to the pedal opening at the adjacent moment; obtaining current carrying data of the vehicle according to the safety driving index data; And determining abnormal carrying data according to the current carrying data and the specified carrying data.
5. The driving behavior processing method according to claim 1, wherein the calculating an index score of an economic driving index from the energy consumption data, the number of abnormal driving times, and an economic driving index data reference value includes: Obtaining an economic driving index data mean value and an economic driving index data standard deviation according to the economic driving index data reference value; respectively calculating a plurality of differences among the energy consumption data, the abnormal driving times and the economic driving index data average value; calculating the multiples of the difference values of the plurality of numbers and the standard deviation of the economic driving index data; And calculating an index score of the economic driving index according to the multiple.
6. The driving behavior processing method according to claim 1, wherein when it is determined that the user has an abnormal driving behavior based on the index scores of the driving indexes, the processing of the abnormal driving behavior includes: Obtaining an economic driving index score, a safety driving index score and a normative driving index score according to the index scores of the driving indexes; Comprehensively determining whether the user has abnormal driving behaviors according to the comparison result of the economic driving index score and the preset economic driving index mean value, the comparison result of the safety driving index score and the preset safety index mean value and the comparison result of the normalized driving index score and the preset normalized index mean value; if yes, the abnormal driving behavior is processed.
7. A driving behavior processing apparatus, characterized by comprising: The acquisition module is used for acquiring current running data of the vehicle and current road data of a running road of the vehicle; the determining module is used for determining index data corresponding to each driving index according to the current driving data and the current road data; The calculation module is used for calculating the index score of each driving index according to the index data; The processing module is used for comprehensively determining that the abnormal driving behavior exists in the user according to the index scores of the driving indexes and processing the abnormal driving behavior; The calculation module is further used for determining an economic driving index data reference value, a safety driving index data reference value and a normalized driving index data reference value, obtaining economic driving index data, safety driving index data and normalized driving index data according to the index data, determining energy consumption data and abnormal driving times according to the economic driving index data, calculating index scores of the economic driving index according to the energy consumption data, the abnormal driving times and the economic driving index data reference value, determining abnormal driving duration, abnormal treading times and abnormal carrying data according to the safety driving index data, calculating index scores of the safety driving index according to the abnormal driving duration, abnormal treading times, abnormal carrying data and the safety driving index data reference value, and calculating index scores of the normalized driving index according to the normalized driving index data and the normalized driving index data reference value.
8. A driving behavior processing apparatus characterized in that it comprises a memory, a processor, on which a driving behavior processing program executable on the processor is stored, the driving behavior processing program being configured to implement the driving behavior processing method according to any one of claims 1 to 6.
9. A storage medium having stored thereon a driving behavior processing program which, when executed by a processor, implements the driving behavior processing method according to any one of claims 1 to 6.

Description

Driving behavior processing method, device, equipment and storage medium Technical Field The present invention relates to the field of vehicle technologies, and in particular, to a driving behavior processing method, apparatus, device, and storage medium. Background Along with the continuous development of the internet of vehicles technology, vehicles become one of the best transportation means for people to travel, but the increase of vehicles, the following phenomena of violation violations, traffic accidents and the like are layered, and a great amount of traffic data indicate that the traffic accidents have close relations with the driving behaviors of the vehicles, such as abnormal driving behaviors, and the current method for determining the abnormal driving behaviors is based on single-index data acquired by sensor equipment for rough judgment, but the single-index data is easy to generate errors, so that the accuracy of determining the abnormal driving behaviors is lower, and early warning is untimely. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The invention mainly aims to provide a driving behavior processing method, device, equipment and storage medium, and aims to solve the technical problem that early warning is not timely due to low accuracy of abnormal driving behavior determination in the prior art. In order to achieve the above object, the present invention provides a driving behavior processing method including the steps of: acquiring current running data of a vehicle and current road data of a running road of the vehicle; Determining index data corresponding to each driving index according to the current driving data and the current road data; Calculating an index score of each driving index according to the index data; And when the abnormal driving behavior of the user is comprehensively determined according to the index scores of the driving indexes, processing the abnormal driving behavior. Optionally, the determining, according to the current driving data and the current road data, the index data corresponding to each driving index includes: respectively carrying out mean value aggregation on the current driving data and the current road data; obtaining the speed of the vehicle, the rotating speed of the driving motor and the charging state according to the current running data after the average aggregation; cleaning running data with the speed being a preset speed threshold and the rotating speed being smaller than the preset rotating speed threshold and the charging state being a preset state to obtain target running data; Dividing the target running data and the current road data after mean aggregation through a preset running index rule to obtain index data corresponding to each running index. Optionally, the calculating the index score of each driving index according to the index data includes: Determining an economic driving index data reference value, a safety driving index data reference value and a normative driving index data reference value; obtaining economic driving index data, safety driving index data and normative driving index data according to the index data; Determining energy consumption data and abnormal driving times according to the economic driving index data; calculating an index score of the economic driving index according to the energy consumption data, the abnormal driving times and the economic driving index data reference value; Determining abnormal driving duration, abnormal treading times and abnormal carrying data according to the safety driving index data; Calculating an index score of the safety driving index according to the abnormal driving duration, the abnormal trampling times, the abnormal carrying data and the safety driving index data reference value; and calculating an index score of the normalized driving index according to the normalized driving index data and the normalized driving index data reference value. Optionally, the determining the energy consumption data and the abnormal driving times according to the economic driving index data includes: determining the speed difference and the turning radius at adjacent moments according to the economic index data; Determining abnormal running times according to the speed difference and the turning radius at the adjacent time; determining total recovered electric quantity and total consumed electric quantity according to the economic index data; And determining energy consumption data according to the total recovered electric quantity and the total consumed electric quantity. Optionally, the determining the abnormal driving duration, the abnormal treading times and the abnormal carrying data according to the safe driving index data includes: Obtaining the current gear, the current speed and the on-off inter