An extended car-following model considering vehicular gap fluctuation

被引:71
|
作者
Yu, Shaowei [1 ]
Shi, Zhongke [1 ]
机构
[1] Northwestern Polytech Univ, Shaanxi Prov Engn Lab Transportat Safety Supervis, Xian 710072, Shaanxi, Peoples R China
关键词
Car-following behaviors; Vehicular gap fluctuation; The adaptive cruise control system; Fuel consumptions and exhaust emissions; VELOCITY DIFFERENCE MODEL; TRAFFIC FLOW MODEL; FUEL CONSUMPTION; CONTINUUM MODEL; DYNAMICAL MODEL; FULL VELOCITY; STABILITY; DRIVERS; VEHICLES; SPEED;
D O I
10.1016/j.measurement.2015.03.031
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To explore and evaluate the effects of vehicular gap fluctuation on roadway traffic mobility, fuel economy and exhaust emissions, we first analyzed the linkage between vehicular gap fluctuation and the following car's acceleration or deceleration with the measured car-following data, and then developed an extended car-following model considering vehicular gap fluctuation based on the full velocity difference model. Finally, numerical simulations are conducted to explore how vehicular gap fluctuation affects car's velocity, acceleration, vehicular gap, fuel consumptions and exhaust emissions. The results show that vehicular gap fluctuation has significant effects on the dynamic characteristics, fuel consumptions and exhaust emissions of traffic flow, and that considering vehicular gap fluctuation in modeling traffic flow system can improve the stability of traffic flow, increase fuel efficiency and reduce exhaust emissions. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:137 / 147
页数:11
相关论文
共 50 条
  • [31] Research on Car-following Model Considering Lateral Offset
    Xu, Lunhui
    Hu, Sangen
    Luo, Qiang
    Zhang, Laiyu
    INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2015, 13 : 71 - 80
  • [32] An extended visual angle model for car-following theory
    Jie Zhou
    Nonlinear Dynamics, 2015, 81 : 549 - 560
  • [33] TDGL and mKdV equations for an extended car-following model
    Han Song
    Pengjun Zheng
    Hongxia Ge
    Nonlinear Dynamics, 2017, 90 : 2253 - 2262
  • [34] An extended visual angle model for car-following theory
    Zhou, Jie
    NONLINEAR DYNAMICS, 2015, 81 (1-2) : 549 - 560
  • [35] TDGL and mKdV equations for an extended car-following model
    Song, Han
    Zheng, Pengjun
    Ge, Hongxia
    NONLINEAR DYNAMICS, 2017, 90 (04) : 2253 - 2262
  • [36] Linear and nonlinear stability analysis of an extended car-following model considering pedestrians on adjacent lane
    Wang, Pengcheng
    Yu, Guizhen
    Wu, Xinkai
    Wang, Yunpeng
    NONLINEAR DYNAMICS, 2017, 88 (01) : 777 - 789
  • [37] An extended car-following model considering driver's desire for smooth driving on the curved road
    Sun, Yuqing
    Ge, Hongxia
    Cheng, Rongjun
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 527
  • [38] An extended car-following model considering backward-looking effect: A machine learning approach
    Adewale, Ayobami
    Lee, Chris
    CANADIAN JOURNAL OF CIVIL ENGINEERING, 2024, 51 (03) : 264 - 280
  • [39] Linear and nonlinear stability analysis of an extended car-following model considering pedestrians on adjacent lane
    Pengcheng Wang
    Guizhen Yu
    Xinkai Wu
    Yunpeng Wang
    Nonlinear Dynamics, 2017, 88 : 777 - 789
  • [40] An extended car-following model considering driver's sensory memory and the backward looking effect
    Chen, Can
    Cheng, Rongjun
    Ge, Hongxia
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 525 : 278 - 289