Dispersion Effect in Left-Turning Bicycle Traffic and Its Influence on Capacity of Left-Turning Vehicles at Signalized Intersections

被引:22
|
作者
Chen, Jingxu
Wang, Wei
Li, Zhibin [1 ]
Jiang, Hang
Chen, Xuewu
Zhu, Senlai
机构
[1] Southeast Univ, Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
ELECTRIC BIKES; CHINA; POLICIES; TRENDS;
D O I
10.3141/2468-05
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Bicycle traffic passing through intersections exhibits a dispersion effect that can influence the movements of nearby vehicles. The primary objective of this study was to investigate the dispersion effect in left-turning bicycle traffic at signalized intersections and to evaluate the effect's influence on the capacity of left-turning vehicles. Characteristics of the dispersion effect were investigated in 20 h of video data collected in Nanjing, China. A Poisson model was estimated to evaluate the factors contributing to platoon width of left-turning bicycle traffic. The impacts of platoon width on the capacity and delay of left-turning vehicles also were evaluated. Results showed that several factors, including the number of left-turning electric bicycles (e-bicycles) and conventional bicycles arriving during the red light period and the directional factor, significantly affected the platoon width of left-turning bicycle traffic. Sensitivity analysis results indicated that the platoon was widest when the number of left-turning e-bicycles divided by the number of total left-turning bicycles arriving per cycle was about 60%. An adjustment factor that accounted for the impacts of left-turning bicycles on the capacity of left-turning vehicles was proposed. Increasing the platoon width of left-turning bicycles from three to eight reduced the left-turning vehicle capacity about 19% and increased the capacity of all left-turning traffic around 25%.
引用
收藏
页码:38 / 46
页数:9
相关论文
共 50 条
  • [1] Interactive Left-Turning of Autonomous Vehicles at Uncontrolled Intersections
    Sun, Chao
    Leng, Jianghao
    Lu, Bing
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (01) : 204 - 214
  • [2] Travel Time Model of Left-Turning Vehicles at Signalized Intersection
    Leng Jun-qiang
    Feng Yu-qin
    Zhai Jing
    Bao Lei
    He Yi
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2012, 2012
  • [3] An informal look at left-turning traffic
    Trinkaus, J
    PERCEPTUAL AND MOTOR SKILLS, 1998, 87 (02) : 701 - 702
  • [4] Left-turning traffic forbiddance system optimization of intersections on road networks
    Long, Ke-Jun
    Chen, Qun
    Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology, 2011, 37 (06): : 876 - 881
  • [5] Application of the image analysis technique to detect left-turning vehicles at intersections
    Lu, Yean-Jye
    Hsu, Yuen-Hung
    Tan, Guan C.
    Transportation Research Record, 1988, (1194) : 120 - 128
  • [6] Analysis of pedestrian conflicts with left-turning traffic
    Dep of Civil Engineering, Toronto, Canada
    Transp Res Rec, 1538 (61-67):
  • [7] Modeling for Left-Lane Line Extensions at Signalized Intersections with Permitted Left-Turning Phase
    Bai, Qiaowen
    Gao, Zhenhai
    Qu, Zhaowei
    Tao, Chuqing
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2020, 146 (08)
  • [8] PEDESTRIAN SAFETY - THE HAZARDS OF LEFT-TURNING VEHICLES
    HABIB, PA
    ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS, 1980, 50 (04): : 33 - 37
  • [9] Improving yellow time method of left-turning traffic flow at signalized intersection networks by ITS
    Kim, HJ
    Son, B
    Lee, S
    Park, J
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, PT 2, 2005, 3481 : 789 - 797
  • [10] Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections
    Khan, Sakib Mahmud
    Chowdhury, Mashrur
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (16) : 13077 - 13094