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V2X环境下基于圆风险域的交通冲突识别模型

赵红专 代静 张继康 李文勇 展新 周旦

深圳大学学报(理工版)2024,Vol.41Issue(1):74-82,9.
深圳大学学报(理工版)2024,Vol.41Issue(1):74-82,9.DOI:10.3724/SP.J.1249.2024.01074

V2X环境下基于圆风险域的交通冲突识别模型

Traffic conflict recognition model based on circular risk region under V2X environment

赵红专 1代静 2张继康 2李文勇 2展新 3周旦2

作者信息

  • 1. 桂林电子科技大学广西智慧交通重点实验室,广西桂林 541004||东风柳州汽车有限公司商用车技术中心,广西柳州 545000
  • 2. 桂林电子科技大学广西智慧交通重点实验室,广西桂林 541004
  • 3. 东风柳州汽车有限公司商用车技术中心,广西柳州 545000
  • 折叠

摘要

Abstract

To improve the identification accuracy of merging conflicts in expressway ramp area and provide decision-making basis for mitigating merging conflicts,we propose a traffic conflict recognition model based on circular risk region under vehicle to everything(V2X)environment.Through real-time acquisition of vehicle positions and speeds using V2X technology,with conflict risk time as a key parameter,the different motion characteristics of mainline and ramp vehicles are analyzed.Firstly,by combining the vehicle kinematics,we introduce the risk region concept to construct a conflict recognition model based on circular risk region.Then,by analyzing the positional relationship of two circles given by the main line vehicle and the ramp vehicle,we characterize the relationship between two vehicles and achieve the recognition of traffic conflicts.Finally,to refine the degree of conflict risk,we use the cumulative frequency curve method to determine the level of conflict risk.Simulation results show that the recognition rate of the conflict recognition model is 25.81%higher than that of the non-adoption model,which indicates that the model can effectively recognize ramp merging conflicts,improving the traffic efficiency,and provide safety warnings for ramp merging vehicles in V2X environment.

关键词

智能交通/车联网/入口匝道/冲突识别/风险域/累计频率曲线法

Key words

intelligent transportation/vehicle to everything(V2X)/entrance ramp/conflict recognition/risk region/cumulative frequency curve method

分类

交通运输

引用本文复制引用

赵红专,代静,张继康,李文勇,展新,周旦..V2X环境下基于圆风险域的交通冲突识别模型[J].深圳大学学报(理工版),2024,41(1):74-82,9.

基金项目

National Natural Science Foundation of China(52362045) (52362045)

Guangxi Science and Technology Major Project(Gui Ke AA22068101) (Gui Ke AA22068101)

Guangxi Key Research and Development Program Project(Gui Ke AB21220052) (Gui Ke AB21220052)

Liuzhou Science and Technology Major Program(2021CAA0101) (2021CAA0101)

Graduate Education Innovation Program of Guilin University of Electronic Science and Technology(2022YCXS228) (2022YCXS228)

Guilin Innovation Platform and Talent Project(20210217-15) (20210217-15)

Open Subject of Guangxi Key Laboratory of Precision Navigation Technology and Application(DH202225) 国家自然科学基金资助项目(52362045) (DH202225)

广西科技重大专项资助项目(桂科AA22068101) (桂科AA22068101)

广西重点研发计划项目(桂科AB21220052) (桂科AB21220052)

柳州市科技重大专项资助项目(2021CAA0101) (2021CAA0101)

桂林电子科技大学研究生教育创新计划资助项目(2022YCXS228) (2022YCXS228)

桂林市创新平台和人才计划资助项目(20210217-15) (20210217-15)

广西精密导航技术与应用重点实验室开放课题资助项目(DH202225) (DH202225)

深圳大学学报(理工版)

OACSTPCD

1000-2618

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