Understanding the Dynamics of Heavy Vehicle Interactions in Car-Following

被引:57
|
作者
Aghabayk, Kayvan [1 ]
Sarvi, Majid [1 ]
Young, William [1 ]
机构
[1] Monash Univ, Dept Civil Engn, Melbourne, Vic 3004, Australia
关键词
Traffic flow; Car following; Truck; Heavy vehicles; BEHAVIOR;
D O I
10.1061/(ASCE)TE.1943-5436.0000463
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Heavy vehicles and passenger cars differ in their maneuverability and acceleration capabilities. Heavy vehicles thus influence other traffic in a different manner than passenger vehicles, causing different levels of traffic instability. Increasing number and proportion of heavy vehicles in the traffic stream may result in quite different traffic flow characteristics. Over the last five decades many studies have investigated passenger car drivers' car-following behavior. However, the existence of heavy vehicles in the traffic stream has not received the same attention. This paper investigates the different car-following behavior of drivers in congested heterogeneous traffic conditions. It specifically focuses on the existence of heavy vehicles in general traffic and their interaction with other vehicles. Four different combinations of passenger car and heavy vehicle were considered. These combinations include passenger car-following a passenger car, passenger car-following a heavy vehicle, heavy vehicle following a passenger car, and heavy vehicle following another heavy vehicle. A data set from a freeway in the United States was used to show the different car-following behavior of drivers for each combination. This study analyzes space and time headways, drivers' reaction times, and vehicle accelerations. It also introduces different car-following thresholds for each car-following combination. It was found that the presence of heavy vehicles causes larger space and time headways, longer reaction time, and more robust car-following behavior. It also shows that the car-following thresholds are of the four combinations studies. The findings of this paper indicate that further research is required to develop a generalized car-following model that can be used when different vehicle types are in the traffic stream. DOI: 10.1061/(ASCE)TE.1943-5436.0000463. (C) 2012 American Society of Civil Engineers.
引用
收藏
页码:1468 / 1475
页数:8
相关论文
共 50 条
  • [1] Modelling heavy vehicle car-following behaviour in congested traffic conditions
    Aghabayk, Kayvan
    Sarvi, Majid
    Forouzideh, Nafiseh
    Young, William
    JOURNAL OF ADVANCED TRANSPORTATION, 2014, 48 (08) : 1017 - 1029
  • [2] Identifiability of car-following dynamics
    Wang, Yanbing
    Delle Monache, Maria Laura
    Work, Daniel B.
    PHYSICA D-NONLINEAR PHENOMENA, 2022, 430
  • [3] Human-automated vehicle interactions: Voluntary driver intervention in car-following
    Zhong, Xinzhi
    Zhou, Yang
    Kamaraj, Amudha Varshini
    Zhou, Zhenhao
    Kontar, Wissam
    Negrut, Dan
    Lee, John D.
    Ahn, Soyoung
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2025, 171
  • [4] Characterizing Human-Automated Vehicle Interactions: An Investigation into Car-Following Behavior
    Zhang, Yanlin
    Talebpour, Alireza
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (05) : 812 - 826
  • [5] Electric Vehicle Dynamics-Based Car-Following Model and Stability Analysis
    Li, Yongfu
    Liang, Zhibin
    Zhu, Hao
    Tang, Xiaoming
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 6692 - 6696
  • [6] Vehicle’s fuel consumption of car-following models
    TieQiao Tang
    JinGang Li
    YunPeng Wang
    GuiZhen Yu
    Science China Technological Sciences, 2013, 56 : 1307 - 1312
  • [7] Vehicle's fuel consumption of car-following models
    Tang TieQiao
    Li JinGang
    Wang YunPeng
    Yu GuiZhen
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2013, 56 (05) : 1307 - 1312
  • [8] The impact of the leading vehicle type on car-following behaviours
    Pariota, Luigi
    Galante, Francesco
    Bifulco, Gennaro N.
    2015 INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2015, : 30 - 37
  • [9] An Adaptive Car-Following Strategy for Vehicle Platooning Control
    Shi, Yanjun
    Li, Tao
    Han, Qiaomei
    PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2021, : 1129 - 1134
  • [10] Vehicle Automation and Car-Following Models for Accident Avoidance
    Kadam, Abhishikt
    Andrew, J.
    Sagayam, K. Martin
    Hien, Dang T.
    PRZEGLAD ELEKTROTECHNICZNY, 2020, 96 (01): : 118 - 123