Modeling Vehicles Movement at Signalized Intersections

被引:0
|
作者
Chen, Zhenqi [1 ]
Mao, Baohua [1 ]
Liu, Mingjun [1 ]
Liu, Zhili [1 ]
Liang, Xiao [1 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
关键词
modeling; vehicles; four-stage movement; signalized intersections; the start part of green time;
D O I
暂无
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Behaviors of car following at signalized intersections are different to those on roads, especially during the start part of green time. As green indication starting, vehicles in the linked approach begins to move and often emerges a particular course observed as that a closely-spaced platoon of moving vehicles comes into being and then turns to disperse. This course usually takes place for the interrupted flows, especially for the resting queues, during the early period of their re-moving. This paper divides movement of each vehicle in this course into four stages: initially accelerating from rest, shortly after which reducing acceleration rate to join a moving platoon, then increasing acceleration rate to disperse from the platoon and eventually stepping into a free flow. It develops a mathematic model to describe the four-stage movement. It also designs a performance measure (intersection passing time) and carries out some case studies based on field data in Beijing city to validate the model. It reveals that the proposed model is applicable to model vehicles movement during the start part of green time. It is found by the proposed model that drivers' decisions at the second stage have much effect on total delay of vehicles in the middle or rear of a queue.
引用
收藏
页码:653 / 668
页数:16
相关论文
共 50 条
  • [1] A model for the mesoscopic feature of vehicles movement at signalized intersections
    Chen, ZhenQi
    Feng, XueSong
    Liu, MingJun
    [J]. PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION, VOL IV: MODELLING AND SIMULATION IN BUSINESS, MANAGEMENT, ECONOMIC AND FINANCE, 2008, : 389 - 395
  • [2] Modeling and State Estimation of Autonomous Vehicles in Signalized Intersections
    Emamifar, Mehrnoosh
    Ghoreishi, Seyede Fatemeh
    [J]. INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2023: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, 2023, : 10 - 21
  • [3] Modeling Trajectories and Trajectory Variation of Turning Vehicles at Signalized Intersections
    Dias, Charitha
    Iryo-Asano, Miho
    Abdullah, Muhammad
    Oguchi, Takashi
    Alhajyaseen, Wael
    [J]. IEEE ACCESS, 2020, 8 : 109821 - 109834
  • [4] DELAY TO VEHICLES AND PEDESTRIANS AT SIGNALIZED INTERSECTIONS
    PRETTY, RL
    [J]. ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS, 1979, 49 (05): : 20 - 23
  • [5] Modeling queues at signalized intersections
    Viti, F
    van Zuylen, HJ
    [J]. TRAFFIC FLOW THEORY AND HIGHWAY CAPACITY AND QUALITY OF SERVICES 2004, 2004, (1883): : 68 - 77
  • [6] Effect of Autonomous Vehicles on Performance of Signalized Intersections
    Berktas, Ecem Sentuerk
    Tanyel, Serhan
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2020, 146 (02)
  • [7] ADJUSTMENT FACTORS FOR HEAVY VEHICLES AT SIGNALIZED INTERSECTIONS
    TSAO, SM
    CHU, SW
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1995, 121 (02): : 150 - 157
  • [8] MODELING CYCLISTS SPEED AT SIGNALIZED INTERSECTIONS
    Kassim, Ali
    Ismail, Karim
    Woo, Suzanne
    [J]. 2017 5TH IEEE INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2017, : 639 - 644
  • [9] On the Impact Analysis of Emergency Vehicles Preemption on Signalized Intersections with Connected Vehicles
    Xie, Jian
    Wu, Jiaming
    Yang, Runkai
    [J]. SMART TRANSPORTATION SYSTEMS 2022, 2022, 304 : 151 - 160
  • [10] Modified Critical Movement Analysis Approach for Signalized Intersections
    Prassas, Elena S.
    Roess, Roger P.
    [J]. TRANSPORTATION RESEARCH RECORD, 2010, (2173) : 45 - 56