交通信息与安全2023，Vol.41Issue(6)：32-41,10.DOI:10.3963/j.jssn.1674-4861.2023.06.004
基于驾驶人心理风险场模型的个性化换道决策方法
A Personalized Lane Change Decision Method Based on Driver's Psychological Risk Field Model
摘要
Abstract
In driving environments,the motion behavior of interacting vehicles can stimulate the psychological and mental state of drivers,subsequently influencing their lane-changing decision behavior.In response to this,a person-alized lane-changing decision method based on a driver's psychological risk field model is investigated.Focusing on a three-lane expressway traffic scenario,the vehicles'lateral speed and lateral offset are analyzed by interacting multiple models.Variable lateral speed-related transition probability matrices are introduced to predict the target lane selection of interacting vehicles.A model is established to quantify the impact of the driving environment and interacting vehicles'motion behavior on drivers'psychological risk.The experiment is conducted by establishing mixed traffic scenarios in a SUMO-based driving simulator,and 287 cases of lane-change datasets are collected.Two characteristic parameters,average collision time and driver psychological risk factor,are selected.The K-means algorithm is used for driver style clustering,categorizing drivers into conservative,normal,and aggressive styles.Furthermore,different thresholds for psychological risk at the initial moment of lane-changing are deter-mined for drivers with different styles.Then personalized safe lane-changing decisions for vehicles are implement-ed.Experimental results show that,for conservative,normal,and aggressive drivers,the actual minimum lane-changing decision times are 3.48,6.29,and 11.33 s,respectively.The actual maximum lane-changing decision times are 4.65,7.45,and 12.52 s,respectively.The theoretical lane-changing decision times are 4.09,6.83,and 11.95 s,respectively.The prediction errors of the personalized lane-changing decision model are all less than 0.62 seconds.This approach accurately assesses the psychological risk of drivers with different styles and achieves per-sonalized lane-changing decisions.关键词
交通安全/换道决策/心理风险/驾驶风格/驾驶模拟Key words
traffic safety/lane-changing decision/psychological risk/driving style/driving simulation分类
交通工程引用本文复制引用
李珂,韩同群,杨正才,高菲,吴浩然..基于驾驶人心理风险场模型的个性化换道决策方法[J].交通信息与安全,2023,41(6):32-41,10.基金项目
湖北省重点研发计划项目(2023BAB169)、武汉市科技重大专项(2022013702025184)、中央引导地方科技发展专项项目(2022BGE248)资助 （2023BAB169）
