Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles

被引:40
|
作者
Sharma, Anshuman [1 ]
Ali, Yasir [1 ]
Saifuzzaman, Mohammad [1 ]
Zheng, Zuduo [1 ]
Haque, Md. Mazharul [1 ]
机构
[1] Queensland Univ Technol, Fac Sci & Engn, Sch Civil Engn & Built Environm, 2 George St, Brisbane, Qld 4001, Australia
基金
澳大利亚研究理事会;
关键词
Connected vehicles; Automated vehicles; Human factors; Advanced Driving Simulator; Microscopic traffic flow models; REACTION-TIMES; DRIVER BEHAVIOR; IMPACT; FLOW; ANTICIPATION; DISTRACTION; INFORMATION; PERFORMANCE;
D O I
10.1007/978-3-319-60591-3_24
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Connected and automated vehicle technologies are widely expected to revolutionize transport systems, enhancing the mobility and quality of life while reducing the environmental impact. However, in the foreseeable future, connected and automated vehicles will have to co-exist with traditional vehicles, indicating a great research need of modelling mixed traffic flow. In few attempts of modelling mixed traffic flow recently, human factors are largely ignored, despite their critical roles in understanding traffic flow dynamics and effective operation and control of this mixed traffic flow. To properly investigate the role of human factors in mixed traffic, we have designed a series of experiments using a high-fidelity driving simulator. Complementary information is collected using questionnaires. This study can assist in developing accurate, realistic, and robust microscopic traffic flow models.
引用
收藏
页码:262 / 273
页数:12
相关论文
共 50 条
  • [1] Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors
    Sharma, Anshuman
    Zheng, Zuduo
    Kim, Jiwon
    Bhaskar, Ashish
    Haque, Md Mazharul
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 124
  • [2] Guest Editorial: Modelling, operation and management of traffic mixed with connected and automated vehicles
    Zong, Fang
    Zhong, Renxin
    Ma, Wei
    Yang, Dujuan
    Pu, Ziyuan
    Dong, Ngoduy
    He, Zhengbing
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (03) : 433 - 435
  • [3] Modelling and simulation of mixed traffic flow with dedicated lanes for connected automated vehicles
    Xiong, Zhuozhi
    Hu, Pei
    Li, Ni
    Chen, Xu
    Chen, Wang
    Wang, Hao
    Xie, Ning
    Li, Ye
    Dong, Changyin
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 274
  • [4] Modeling Uncertainties for Automated and Connected Vehicles in Mixed Traffic
    Sun, Yuchao
    Cummins, Liam
    Ji, Yan
    Stemler, Thomas
    Pritchard, Nicholas
    JOURNAL OF ADVANCED TRANSPORTATION, 2024, 2024
  • [5] Cooperative Ramp Merging for Mixed Traffic with Connected Automated Vehicles and Human-Operated Vehicles
    Huang, Tianyu
    Sun, Zhanbo
    IFAC PAPERSONLINE, 2019, 52 (24): : 76 - 81
  • [6] Trajectory reconstruction for freeway traffic mixed with human-driven vehicles and connected and automated vehicles
    Wang, Yunpeng
    Wei, Lei
    Chen, Peng
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 111 : 135 - 155
  • [7] Stability analysis and connected vehicles management for mixed traffic flow with platoons of connected automated vehicles
    Qin, Yanyan
    Luo, Qinzhong
    Wang, Hua
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 157
  • [8] Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections
    Arvin, Ramin
    Khattak, Asad J.
    Kamrani, Mohsen
    Rio-Torres, Jackeline
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 25 (02) : 170 - 187
  • [9] CTM-based traffic signal optimization of mixed traffic flow with connected automated vehicles and human-driven vehicles
    Yao, Zhihong
    Jin, Yuting
    Jiang, Haoran
    Hu, Lu
    Jiang, Yangsheng
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 603
  • [10] Modelling connected and autonomous bus on dynamics of mixed traffic in partially connected and automated traffic environment
    Li, Xin
    Wang, Tianqi
    Xu, Weihan
    Li, Huaiyue
    Yuan, Yun
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2024, 191