Summarizing vehicle driving decision-making methods on vulnerable road user collision avoidance
作者机构：State Key Laboratory of Automotive Safety and EnergySchool of Vehicle&MobilityTsinghua UniversityBeijing 100084China China University of Political Science and LawBeijing 100192China
出 版 物：《Digital Transportation and Safety》 (数字交通与安全（英文）)
年 卷 期：2023年第2卷第1期
页 面：23-35页
学科分类：08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程]
基 金：funded by the National Natural Science Foundation of China grant numbers 52072214 and 52242213
主 题：Vulnerable road users Perception Behavioral cognition Collision avoidance decision-making Knowledge mapping
摘 要：With the development of intelligent vehicles and autonomous driving technology,the safety of vulnerable road user(VRU)in traffic has been more guaranteed,and many research achievements have been made in the key area of collision avoidance decision-making *** this paper,the knowledge mapping method is used to mine the available literature in depth,and it is found that the research focus has shifted from the traditional accident cause analysis to emerging deep learning and virtual reality *** paper summarizes research on the three core dimensions of environmental perception,behavior cognition and collision avoidance decision-making in intelligent vehicle *** terms of perception,accurate identification of pedestrians and cyclists in complex environments is a major demand for VRU perception;in terms of behavior cognition,the coupling of VRU intention identification and motion trajectory prediction and other multiple factors needs further research;in terms of decision-making,the intention identification and trajectory prediction of collision objects are not included in the risk assessment model,and there is a lack of exploration specifically for cyclists collision *** this basis,this paper provides guidance for the improvement of traffic safety of contemporary VRU under the conditions of intelligent and connected transportation.
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