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] An improved car-following model considering the immediately ahead car's velocity difference
    Yu, Shaowei
    Zhao, Xiangmo
    Xu, Zhigang
    Shi, Zhongke
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 461 : 446 - 455
  • [32] A new car-following model considering velocity anticipation
    Tian Jun-Fang
    Jia Bin
    Li Xin-Gang
    Gao Zi-You
    CHINESE PHYSICS B, 2010, 19 (01)
  • [33] Self-stabilizing analysis of an extended car-following model with consideration of expected effect
    Chen, Can
    Ge, Hongxia
    Cheng, Rongjun
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 535
  • [34] A new car-following model considering the related factors of a gyroidal road
    Zhu, Wen-Xing
    Yu, Rui-Ling
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 393 : 101 - 111
  • [35] A new car-following model considering driver's sensory memory
    Cao, Bao-gui
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 427 : 218 - 225
  • [36] A New Car-Following Model considering Driving Characteristics and Preceding Vehicle's Acceleration
    Zhang, Yong
    Ni, Ping
    Li, Minwei
    Liu, Hao
    Yin, Baocai
    JOURNAL OF ADVANCED TRANSPORTATION, 2017,
  • [37] An extended car-following model accounting for the honk effect and numerical tests
    Kuang, Hua
    Xu, Zhi-Peng
    Li, Xing-
    Lo, Siu-Ming
    NONLINEAR DYNAMICS, 2017, 87 (01) : 149 - 157
  • [38] An extended car-following model accounting for the average headway effect in intelligent transportation system
    Kuang, Hua
    Xu, Zhi-Peng
    Li, Xing-Li
    Lo, Siu-Ming
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 471 : 778 - 787
  • [39] Modeling and analyses for an extended car-following model accounting for drivers' situation awareness from cyber physical perspective
    Chen, Dong
    Sun, Dihua
    Zhao, Min
    Zhou, Tong
    Cheng, Senlin
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 501 : 52 - 68
  • [40] An extended heterogeneous car-following model accounting for anticipation driving behavior and mixed maximum speeds
    Sun, Fengxin
    Wang, Jufeng
    Cheng, Rongjun
    Ge, Hongxia
    PHYSICS LETTERS A, 2018, 382 (07) : 489 - 498