Modeling Lane-Changing Behavior of Vehicles a Merge Section under Mixed Traffic Conditions

被引:6
|
作者
Matcha, Bhargav Naidu [1 ,2 ]
Sivanesan, Sivakumar [1 ]
Ng, K. C. [3 ]
机构
[1] Taylors Univ, Sch Comp Sci & Engn, 1 Jalan Taylors, Subang Jaya 47500, Selangor, Malaysia
[2] Taylors Univ, Sch Engn, 1 Jalan Taylors, Subang Jaya 47500, Selangor, Malaysia
[3] Univ Nottingham Malaysia, Dept Mech Mat & Mfg Engn, Jalan Broga, Semenyih 43500, Selangor Dam Eh, Malaysia
关键词
Lane changing; Mixed traffic; Merge section; MOBIL model; Intelligent driver model;
D O I
10.1061/JTEPBS.0000502
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The lane-changing behavior of different types of vehicles at the merging section of an urban road is assessed by using a new lanechanging model proposed in the current work. The lane-changing model known as MOBIL (minimizing overall braking induced by lane changes) is modified and combined with the intelligent driver model (IDM) to implement the lane-changing rules for different vehicle classes by applying the politeness and vehicle-type factors. It is noted that the heterogeneity of surrounding vehicles during lane-changing, which is common in developing countries, is not considered in most of the existing lane-changing models. The preceding problem is addressed by incorporating the vehicle-type dependent factor in the proposed lane-changing model. This new model considers the effect of motorcycle movement on the lane-changing decision and evaluates the aggressiveness of motorcyclists during lane-changing. The merging maneuver data from video recording is utilized to calibrate and validate the models. The lane changing rate is the highest for motorcycles and the least for trucks (at a given politeness factor). Motorcycles exhibit lower lane changing durations for politeness factors p = 0 and p = 1, showing integrated movements due to their pushy or erratic maneuverability. (C) 2021 American Society of Civil Engineers.
引用
下载
收藏
页数:12
相关论文
共 50 条
  • [41] Analysis of the Relationship between the Density and Lane-Changing Behavior of Circular Multilane Urban Expressway in Mixed Traffic
    Xie, Han
    Zhu, Juanxiu
    Duan, Huawei
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [42] Modeling and Analysis of Lateral Driver Behavior in Lane-Changing Execution
    Yang, Da
    Zhu, Liling
    Yang, Fei
    Pu, Yun
    TRANSPORTATION RESEARCH RECORD, 2015, (2490) : 127 - 137
  • [43] Cooperative Lane-Changing Strategy for Intelligent Vehicles
    Sun, Manman
    Chen, Zhenping
    Li, Haifeng
    Fu, Baochuan
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 6022 - 6027
  • [44] Electric Bicycle Lane-Changing Behavior under Strategy Games
    Shao, Haipeng
    Wang, Jiangping
    Wang, Yin
    Chen, Sitian
    SUSTAINABILITY, 2018, 10 (09)
  • [45] TRAFFIC LANE SYSTEM UNDER MIXED TRAFFIC CONDITIONS
    SRINIVASAN, NS
    ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS, 1995, 65 (06): : 33 - &
  • [46] Modeling Lane-Changing Decisions with MOBIL
    Kind, Martin Treiber
    Kesting, Arne
    TRAFFIC AND GRANULAR FLOW '07, 2009, : 211 - 221
  • [47] Discrete macroscopic traffic flow model considering the lane-changing behaviors in the mixed traffic environment
    Zhang, Yi
    Yang, Xianfeng
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 164
  • [48] Influence of Lane Demarcation Patterns on Lane-changing Behavior
    Deng J.-H.
    Feng H.-H.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2019, 19 (02): : 153 - 159
  • [49] Comparative Safety and Stability Assessment of Autonomous Vehicle Lane-changing Strategies in Mixed Traffic at Urban Expressway Weaving Section
    Hou, Ninghao
    Ding, Naikan
    Zhang, Hui
    Ran, Changhao
    Wu, Huiyu
    2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 6175 - 6180
  • [50] Effect model of urban traffic congestion on driver's lane-changing behavior
    Qi, Weiwei
    Wen, Huiying
    Wu, Yaping
    Qin, Lihui
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (09) : 1 - 12