Analysis of the Insertion Angle of Lane-Changing Vehicles in Nearly Saturated Fast Road Segments

被引:4
|
作者
Yang, Quantao [1 ]
Lu, Feng [1 ]
Wang, Jingsheng [1 ]
Zhao, Dan [1 ]
Yu, Lijie [2 ]
机构
[1] Peoples Publ Secur Univ China, Dept Publ Secur & Traff Management Sch, Beijing 100038, Peoples R China
[2] Changan Univ, Dept Traff Engn, Highway Sch, Xian 710064, Peoples R China
关键词
lane-changing vehicles; insertion angle; vehicle speed; vehicle spacing; MODEL;
D O I
10.3390/su12031013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Vehicle lane changing in a nearly saturated fast road segment tends to increase the probability of traffic accidents in the road segment and reduce the speed of the rear vehicles in the target lane. To better analyze the relationship between the target vehicle and the front and rear vehicles in the target lane, this study focuses on the insertion angle of the target vehicle as the research object. Moreover, this study considers influencing factors, such as the longitudinal distance, transverse distance, and speed of the front and rear vehicles in the target lane. This study also adopts aerial photography to capture the flow of the main road of the Xi'an South Second Ring Road, Chang'an University segment. Information regarding the vehicle captured on video, including the speed, insertion angle, and coordinates, is extracted using the software Tracker. The coordinates correlation and speed correlation are analyzed using the software SPSS 2.0. K-means cluster analysis is applied to cluster the insertion angle of the target vehicle, and the insertion speed of the target vehicle. Of the total samples, 89.47% were inserted into the target lane at around 23 degrees or below. The PC-Crash software was used to verify that the collision consequences gradually increased with the increase in collision angle. Therefore, when the insertion angle of the vehicle changes to lower than 23 degrees, the overall road traffic condition is optimal, and no large losses are incurred.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] A lane-changing risk profile analysis method based on time-series clustering
    Chen, Tianyi
    Shi, Xiupeng
    Wong, Yiik Diew
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 565
  • [42] Lane-changing and overtaking trajectory planning for autonomous vehicles with multi-performance optimization considering static and dynamic obstacles
    Zhang, Dongxue
    Jiao, Xiaohong
    Zhang, Ting
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2024, 182
  • [43] Ensemble deep learning-based lane-changing behavior prediction of manually driven vehicles in mixed traffic environments
    Geng, Boshuo
    Ma, Jianxiao
    Zhang, Shaohu
    ELECTRONIC RESEARCH ARCHIVE, 2023, 31 (10): : 6216 - 6235
  • [44] Impact of lane-changing behavior on traffic emissions of road sections in multi-dimensional mixed traffic flow environment
    Hu, Xinghua
    Zheng, Mintanyu
    Guo, Jianpu
    Chen, Xinghui
    Dai, Gao
    Zhao, Jiahao
    Long, Bing
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2023, 73 (05) : 403 - 416
  • [45] Analysis of the impact of cyberattacks on the lane changing behavior of connected automated vehicles
    Cheng, Rongjun
    Ji, Qun
    Zheng, Yuchen
    Ge, Hongxia
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 632
  • [46] Predicting lane-changing risk level based on vehicles' space-series features: A pre-emptive learning approach
    Chen, Tianyi
    Shi, Xiupeng
    Wong, Yiik Diew
    Yu, Xiaocong
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 116
  • [47] Understanding and Predicting Overtaking and Fold-Down Lane-Changing Maneuvers on European Highways Using Naturalistic Road User Data
    Khelfa, Basma
    Tordeux, Antoine
    2021 IEEE INTELLIGENT VEHICLES SYMPOSIUM WORKSHOPS (IV WORKSHOPS), 2021, : 168 - 173
  • [48] Analysis of the Relationship between the Density and Lane-Changing Behavior of Circular Multilane Urban Expressway in Mixed Traffic
    Xie, Han
    Zhu, Juanxiu
    Duan, Huawei
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [49] Analysis of lane-changing conflict between cars and trucks at freeway merging sections using UAV video data
    Lu, Yichen
    Cheng, Kai
    Zhang, Yue
    Chen, Xinqiang
    Zou, Yajie
    JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2023, 15 (09) : 943 - 961
  • [50] A Comprehensive Investigation of Lane-Changing Risk Recognition Framework of Multi-Vehicle Type Considering Key Features Based on Vehicles' Trajectory Data
    Zheng, Liyuan
    Liu, Weiming
    ELECTRONICS, 2024, 13 (06)