Intersection Control Type Effect on Automated Vehicle Operation

被引:0
|
作者
Tafidis, Pavlos [1 ]
Pirdavani, Ali [1 ,2 ]
Brijs, Tom [2 ]
Farah, Haneen [3 ]
机构
[1] UHasselt, Fac Engn Technol, Construct Engn Res Grp, Agoralaan, B-3590 Diepenbeek, Belgium
[2] UHasselt, Transportat Res Inst IMOB, Agoralaan, B-3590 Diepenbeek, Belgium
[3] Delft Univ Technol, Fac Civil Engn & Geosci, Dept Transport & Planning, Stevinweg 1,POB 5048, NL-2600 GA Delft, Netherlands
关键词
Autonomous vehicles; Microsimulation; Intersection control type;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Professionals from various disciplines have been investing huge efforts in the last few decades in the development and deployment of connected and automated vehicles (CAVs). It is believed that CAVs can mitigate the main drawbacks of transport issues such as safety, emissions, and congestion. The main objective of this paper is to examine how intersection control types will affect the operation of automated vehicles (AVs) in urban areas. Since AVs implementation is still in its first steps and empirical data is not yet available, the microscopic traffic flow simulation software PTV Vissim was utilized. Different case studies based on commonly occurring intersection types were investigated in PTV Vissim under various AVs penetration rates. The results show that the introduction of AVs had a greater effect in the performance of uncontrolled intersections. Further research is required on the impact of AVs on safety and their interactions with vulnerable road users.
引用
收藏
页码:2742 / 2750
页数:9
相关论文
共 50 条
  • [11] Vehicle Service System for Automated Weight and Dimensional Control During the Operation of Roads
    Baiteche, Kamel
    Gematudinov, R. G.
    Chantieva, M. E.
    Dzhabrailov, Kh A.
    Gorodnichev, M. G.
    2020 SYSTEMS OF SIGNAL SYNCHRONIZATION, GENERATING AND PROCESSING IN TELECOMMUNICATIONS (SYNCHROINFO), 2020,
  • [12] Joint Optimization of Intersection Control and Trajectory Planning Accounting for Pedestrians in a Connected and Automated Vehicle Environment
    Yin, Biao
    Menendez, Monica
    Yang, Kaidi
    SUSTAINABILITY, 2021, 13 (03) : 1 - 25
  • [13] Intersection control for automated vehicles with MILP
    Mueller, Eduardo Rauh
    Carlson, Rodrigo Castelan
    Kraus Junior, Werner
    IFAC PAPERSONLINE, 2016, 49 (03): : 37 - 42
  • [14] INTERSECTION MERGE CONTROL IN AUTOMATED TRANSPORTATION SYSTEMS
    CAUDILL, RJ
    YOUNGBLOOD, JN
    TRANSPORTATION RESEARCH, 1976, 10 (01): : 17 - 24
  • [15] Smart Intersection Control Algorithms for Automated Vehicles
    Pourmehrab, Mahmoud
    Elefteriadou, Lily
    Ranka, Sanjay
    2017 TENTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2017, : 396 - 401
  • [16] OPERATION FUNCTIONS IN VEHICLE CONTROL
    BERNOTAT, R
    ERGONOMICS, 1970, 13 (03) : 353 - &
  • [17] Intersection control with connected and automated vehicles: a review
    Wu, Jiaming
    Qu, Xiaobo
    Journal of Intelligent and Connected Vehicles, 2022, 5 (03): : 260 - 269
  • [18] Modelling and control of an automated vehicle
    Will, AB
    Zak, SH
    VEHICLE SYSTEM DYNAMICS, 1997, 27 (03) : 131 - 155
  • [19] Deep Reinforcement Learning Based Left-Turn Connected and Automated Vehicle Control at Signalized Intersection in Vehicle-to-Infrastructure Environment
    Chen, Juan
    Xue, Zhengxuan
    Fan, Daiqian
    INFORMATION, 2020, 11 (02)
  • [20] Collaborative control of traffic signal and variable guiding lane for isolated intersection under connected and automated vehicle environment
    Ding, Chuan
    Dai, Rongjian
    Fan, Yue
    Zhang, Zhao
    Wu, Xinkai
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2022, 37 (15) : 2052 - 2069