Study of Mandatory Lane Change Execution Behavior Model for Heavy Vehicles and Passenger Cars

被引:8
|
作者
Cao, Xiaoying [1 ]
Young, William [1 ]
Sarvi, Majid [2 ]
Kim, Inhi [1 ]
机构
[1] Monash Univ, Inst Transport Studies, Dept Civil Engn, Fac Engn, 14 Alliance Lane Engn 72, Clayton, Vic 3800, Australia
[2] Univ Melbourne, Melbourne Sch Engn, Dept Infrastruct Engn, 403 1-100 Grattan St, Parkville, Vic 3010, Australia
关键词
DRIVERS;
D O I
10.3141/2561-09
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Lane changing is one of the basic driver behavior interactions in microscopic traffic simulations for traffic, safety, and transportation system analysis. Although many traffic simulations pay attention to the decision process for lane changing, the execution process is often simplified or even ignored. This paper presents a study of lane change execution of heavy vehicles and passenger cars in a traffic situation with a blocked lane. A video camera was used to collect data from an arterial road in Melbourne, Australia. This paper investigates the behavior of heavy vehicles and passenger cars in mandatory lane changes and proposes a model framework for the execution of lane changes with regard to the emergency status and the impact of surrounding traffic for individual drivers who are changing lanes. The distance to the blockage was used to denote the emergency status. For the impact of the surrounding traffic, it was assumed that the driver would adjust the execution if a traffic conflict were detected and would continue the lane change if there were no conflict. A probability model was developed to interpret the driver's choice of whether to continue the lane change. The data analysis found that the lane change performance of heavy vehicles differed from that of passenger cars. Therefore, the model was calibrated for heavy vehicles and passenger cars separately. In conclusion, the paper provides a framework of the future work of lane change execution models on traffic simulation to assess the traffic safety and road efficiency.
引用
收藏
页码:73 / 80
页数:8
相关论文
共 50 条
  • [31] Situation Assessment in Tactical Lane Change Behavior Planning for Automated Vehicles
    Ulbrich, Simon
    Maurer, Markus
    2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, : 975 - 981
  • [32] Mandatory lane change decision-making model based on neural network
    Cui J.
    Yu G.
    Zhou B.
    Li C.
    Ma J.
    Xu G.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2022, 48 (05): : 890 - 897
  • [33] Human Knowledge Enhanced Reinforcement Learning for Mandatory Lane-Change of Autonomous Vehicles in Congested Traffic
    Huang, Yanjun
    Gu, Yuxiao
    Yuan, Kang
    Yang, Shuo
    Liu, Tao
    Chen, Hong
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 9 (02): : 3509 - 3519
  • [34] Car-Following and Lane-Changing Behavior Involving Heavy Vehicles
    Chen, Danjue
    Ahn, Soyoung
    Bang, Soohyuk
    Noyce, David
    TRANSPORTATION RESEARCH RECORD, 2016, (2561) : 89 - 97
  • [35] Track Behavior and Crash Risk Analysis of Passenger Cars on Hairpin Curves of Two-Lane Mountain Roads
    Yu, Zhigang
    Chen, Ying
    Zhang, Xiaobo
    Xu, Jin
    Journal of Advanced Transportation, 2021, 2021
  • [36] Study on a phenomenon caused by cars' lane choice behavior in Chinese freeway
    Fu, Qiang
    Lin, Hangfei
    Yang, Xiaofang
    2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS, 2006, : 1 - +
  • [37] Track Behavior and Crash Risk Analysis of Passenger Cars on Hairpin Curves of Two-Lane Mountain Roads
    Yu, Zhigang
    Chen, Ying
    Zhang, Xiaobo
    Xu, Jin
    JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
  • [38] Modeling the impact of driving aggression on lane change performance Measures: Steering compensatory Behavior, lane change execution duration and crash probability
    Adavikottu, Anusha
    Velaga, Nagendra R.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2024, 103 : 526 - 553
  • [39] Probabilistic Lane-Change Decision-Making and Planning for Autonomous Heavy Vehicles
    Wen Hu
    Zejian Deng
    Dongpu Cao
    Bangji Zhang
    Amir Khajepour
    Lei Zeng
    Yang Wu
    IEEE/CAAJournalofAutomaticaSinica, 2022, 9 (12) : 2161 - 2173
  • [40] Probabilistic Lane-Change Decision-Making and Planning for Autonomous Heavy Vehicles
    Hu, Wen
    Deng, Zejian
    Cao, Dongpu
    Zhang, Bangji
    Khajepour, Amir
    Zeng, Lei
    Wu, Yang
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 9 (12) : 2161 - 2173