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
  • [31] Optimal Presignal Control for Two-Mode Traffic at Isolated Signalized Intersections
    Khwais, Miran
    Haddad, Jack
    TRANSPORTATION SCIENCE, 2022, 57 (02) : 376 - 398
  • [32] Using connected vehicle technology to improve the efficiency of intersections
    Guler, S. Ilgin
    Menendez, Monica
    Meier, Linus
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2014, 46 : 121 - 131
  • [34] DELAYS AT SIGNALIZED INTERSECTIONS WITH EXHAUSTIVE TRAFFIC CONTROL
    Boon, M. A. A.
    Adan, I. J. B. F.
    Winands, E. M. M.
    Down, D. G.
    PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 2012, 26 (03) : 337 - 373
  • [35] Effects of advanced traffic signal status warning systems on vehicle emission reductions at signalized intersections
    Sun, Xiaofei
    Chen, Xumei
    Qi, Yi
    Mao, Bimin
    Yu, Lei
    Tang, Peijia
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2019, 69 (04) : 391 - 401
  • [36] Optimal Traffic Signal Control of Isolated Oversaturated Intersections Using Predicted Demand
    Mohajerpoor, Reza
    Cai, Chen
    Rainezani, Mohsen
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (01) : 815 - 826
  • [37] Optimal pre-signal control for buses and cars at isolated signalized intersections
    Khwais, Miran
    Haddad, Jack
    IFAC PAPERSONLINE, 2017, 50 (01): : 9706 - 9711
  • [38] Vehicle Trajectory Reconstruction at Signalized Intersections Under Connected and Automated Vehicle Environment
    Chen, Xuejian
    Yin, Juyuan
    Tang, Keshuang
    Tian, Ye
    Sun, Jian
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (10) : 17986 - 18000
  • [39] A Traffic Signal Control Mechanism in a Connected Vehicle Environment
    Hsu, Mark
    Shih, Annie
    2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2015, : 256 - 257
  • [40] Markov model based adaptive traffic signal control for dilemma zone at signalized intersections
    Liu S.
    Zhang L.
    Yang W.
    Wang Z.
    Tongji Daxue Xuebao/Journal of Tongji University, 2016, 44 (09): : 1398 - 1406