An equitable traffic signal control scheme at isolated signalized intersections using Connected Vehicle technology

被引:57
|
作者
Liang, Xiao [1 ]
Guler, S. Ilgin [1 ]
Gayah, Vikash V. [1 ]
机构
[1] Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA
关键词
Traffic signal optimization; Equitable traffic signal control; Connected Vehicles; CONTROL-SYSTEM; OPTIMIZATION; ALGORITHM; IMPACTS; MODEL;
D O I
10.1016/j.trc.2019.11.005
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper extends a real-time, Connected Vehicle-based traffic signal control algorithm at isolated intersections to balance between two competing intersection objectives: efficiency and equity. In this approach, a central controller is used to collect real-time locations of connected vehicles at regular intervals, which can then be used to also identify the existence of some of the non-connected vehicles. The control algorithm then aims to optimize the discharge sequence of naturally occurring platoons of vehicles based on their proximity. Specifically, the strategy selects the platoon discharge sequence-and associated signal phase and timing plan-that minimizes average vehicle delay (measure of efficiency) while limiting the maximum delay any individual vehicle may experience (measure of equity). The latter objective is only possible with detailed vehicle-level information available from connected vehicles. The results show that without the threshold on maximum individual vehicle delay, average delay is often minimized at the expense of very large delays imposed onto some vehicles. By implementing a threshold, both the maximum vehicle delay and the distribution of individual vehicle delays-as measured by the standard deviation and a common measure of population inequity, the Gini coefficient-can be improved, often with only negligible impacts to intersection efficiency. However, the tradeoff between equity and efficiency becomes more significant as the maximum vehicle delay threshold decreases. Sensitivity tests show that this control algorithm works well for different total traffic demands and different demand patterns. The proposed algorithm is also effective under imperfect connected vehicle penetration rates when the connected vehicles make up more than 40% of the traffic stream. The results suggest that the proposed strategy can help significantly reduce long delays and inequitable treatment of vehicles at an intersection when vehicle-level information is available to a signal controller.
引用
收藏
页码:81 / 97
页数:17
相关论文
共 50 条
  • [41] Intelligent Agent Based Traffic Signal Control on Isolated Intersections
    Koltovska, Daniela
    Bombol, Kristi
    TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2014, 3 (03): : 216 - 222
  • [42] Hierarchical cooperative eco-driving control for connected autonomous vehicle platoon at signalized intersections
    Wu, Simin
    Chen, Zheng
    Shen, Shiquan
    Shen, Jiangwei
    Guo, Fengxiang
    Liu, Yonggang
    Zhang, Yuanjian
    IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 17 (08) : 1560 - 1574
  • [43] AUXILIARY TRAFFIC CONTROL DEVICES FOR SIGNALIZED INTERSECTIONS - AN OVERVIEW
    NOEL, EC
    AHMED, TA
    ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS, 1981, 51 (02): : 44 - 47
  • [44] Traffic Volume Estimate Based on Low Penetration Connected Vehicle Data at Signalized Intersections: A Bayesian Deduction Approach
    Zhang, Zhao
    Zhang, Siyao
    Mo, Lei
    Guo, Mengdi
    Liu, Feng
    Qi, Xin
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) : 10596 - 10609
  • [45] A heuristic adaptive traffic control algorithm for signalized intersections
    Raveendran, Bijul
    Mathew, Tom, V
    Velaga, Nagendra R.
    2020 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2020,
  • [46] Passenger number dependent traffic control in signalized intersections
    Polgar, Janos
    Tettamanti, Tamas
    Varga, Istvan
    PERIODICA POLYTECHNICA-CIVIL ENGINEERING, 2013, 57 (02): : 201 - 210
  • [47] Collaborative control framework at isolated signalized intersections under the mixed connected automated vehicles environment
    Liu, Chao
    Jia, Hongfei
    Wang, Guanfeng
    Wu, Ruiyi
    Tian, Jingjing
    Gao, Heyao
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2024,
  • [48] Reexamining vehicle-actuation strategies at isolated signalized intersections
    Cassidy, M
    Chuang, YH
    Vitale, J
    JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1996, 122 (03): : 235 - 240
  • [49] Hybrid Signal Control for Isolated Intersections under a Connected and Automated Environment
    Chen, Xiangdong
    Lin, Xi
    Li, Meng
    CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION, 2023, : 655 - 666
  • [50] DRL-TP3: A learning and control framework for signalized intersections with mixed connected automated traffic
    Guo, Yi
    Ma, Jiaqi
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 132