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
  • [1] Spatiotemporal intersection control in a connected and automated vehicle environment
    Feng, Yiheng
    Yu, Chunhui
    Liu, Henry X.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2018, 89 : 364 - 383
  • [2] Telerobotic operation combined with automated vehicle control
    Schlegel, N
    Kachroo, P
    MOBILE ROBOTS XI AND AUTOMATED VEHICLE CONTROL SYSTEMS, 1997, 2903 : 183 - 194
  • [3] Centralized Cooperative Intersection Control Under Automated Vehicle Environment
    Ding, Jishiyu
    Xu, Huile
    Hu, Jianming
    Zhang, Yi
    2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 972 - 977
  • [4] Investigating Communications Performance for Automated Vehicle-based Intersection Control under Connected Vehicle Environment
    Lee, Joyoung
    Park, Byungkyu Brian
    2015 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2015, : 1342 - 1347
  • [5] Alternative Intersection Designs with Connected and Automated Vehicle
    Zhong, Zijia
    Lee, Earl E., II
    2019 IEEE 2ND CONNECTED AND AUTOMATED VEHICLES SYMPOSIUM (CAVS), 2019,
  • [6] DETERMINATION OF THE EFFECT OF INTERSECTION CONTROL MODE ON VEHICLE DELAY TIMES
    Hradil, Jan
    Uhlik, Michal
    Havlicek, Tomas
    ROAD AND RAIL INFRASTRUCTURE III, 2014, : 249 - 255
  • [7] Isolated intersection control for various levels of vehicle technology: Conventional, connected, and automated vehicles
    Yang, Kaidi
    Guler, S. Ilgin
    Menendez, Monica
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 72 : 109 - 129
  • [8] Dynamic combination control of phase movement at signal intersection under the automated vehicle environment
    Xiao, Wenbin
    Zhu, Shunying
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (03) : 3647 - 3664
  • [9] Decentralized control of connected automated vehicle trajectories in mixed traffic at an isolated signalized intersection
    Yao, Handong
    Li, Xiaopeng
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 121
  • [10] Connected and automated vehicle control at unsignalized intersection based on deep reinforcement learning in vehicle-to-infrastructure environment
    Chen, Juan
    Sugumaran, Vijayan
    Qu, Peiyan
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2022, 18 (07)