摘要
随着我国汽车工业的快速发展,L2级乘用车新车渗透率快速增长。智能汽车较传统汽车的交通事故鉴定更为复杂,给交通事故车辆鉴定及事故调查带来新的挑战。结合交通事故发生的时序进程,提出了一种基于数据驱动的智能汽车交通事故鉴定方法。该方法在事故相关资料基础上,综合智能汽车事故过程中记录的多源异构数据分析事故原因及智能汽车的安全性能。最后以一起典型事故的鉴定,作为智能汽车交通事故调查与鉴定的范例开展讨论。
With the rapid development of China’s automobile industry,the penetration rate of L2 level passenger cars has increased rapidly.The traffic accidents identification of intelligent vehicles is more complicated than that of traditional vehicles,which brings new challenges to traffic accidents investigation.Combined with the sequential process of traffic accidents,this paper proposed a data driven identification method for intelligent vehicles traffic accidents.Based on accident related data,the method integrates multi-source heterogeneous data that were recorded during the accident process of intelligent vehicles to analyze the cause of the accidents and the safety of intelligent vehicles.Additionally,a typical case was discussed as an example of intelligent vehicles traffic accidents investigation and identification.
作者
李平飞
牟小军
唐剑军
刘克亮
周鑫
谭正平
朱欣宇
LI Pingfei;MOU Xiaojun;TANG Jianjun;LIU Keliang;ZHOU Xin;TAN Zhengping;ZHU Xinyu(School of Automobile and Transportation,Xihua University,Chengdu 610039,China;Sichuan Xihua Traffic Forensic Appraisal Center,Chengdu 610039,China;Traffic Police Corps of Sichuan Provincial Public Security Bureau,Chengdu 610037,China)
出处
《中国司法鉴定》
2024年第5期42-49,共8页
Chinese Journal of Forensic Sciences
基金
司法部司法鉴定重点实验室开放课题(KF202211)。
关键词
智能汽车
事故鉴定
数据驱动
多源异构
intelligent vehicles
accident identification
data driven
multi-source heterogeneous
