Analysis of a Car-Following Model with Driver Memory Effect

被引：3
|
作者：
Xin, Zhi [1 ]
Xu, Jian [1 ]
机构：
[1] Tongji Univ, Sch Aerosp Engn & Appl Mech, Shanghai 200092, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2015年 / 25卷 / 04期
关键词：
Traffic flow; car-following model; memory effect; hysteresis; stability; TRAFFIC FLOW; DIAGRAM;
D O I：
10.1142/S0218127415500571
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A nonlinear car-following model considering memory effect of human drivers is studied by means of theoretical analysis and numerical simulation. We model the memory effect of the response of drivers to the traffic situation for a car-following model by introducing a system variable related to velocity. The memory effect of the drivers is a kind of state-dependent delay. The stability of the car-following model with two kinds of time delay is studied. The hysteresis loop of traffic flow from different initial states is compared. The effect of the maximum time delay on the stability is discussed.
引用
收藏
页数：7
相关论文
共 50 条
  • [41] An extended car-following model considering driver's memory and average speed of preceding vehicles with control strategy
    Sun, Yuqing
    Ge, Hongxia
    Cheng, Rongjun
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 521 : 752 - 761
  • [42] The Driver Time Memory Car-Following Model Simulating in Apollo Platform with GRU and Real Road Traffic Data
    Fei, Rong
    Li, Shasha
    Hei, Xinhong
    Xu, Qingzheng
    Liu, Fang
    Hu, Bo
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020 (2020)
  • [43] Energy consumption investigation for a new car-following model considering driver's memory and average speed of the vehicles
    Jin, Zhizhan
    Yang, Zaili
    Ge, Hongxia
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 506 : 1038 - 1049
  • [44] Nonlinear analysis of a new car-following model accounting for the optimal velocity changes with memory
    Peng, Guanghan
    Lu, Weizhen
    He, Hong-di
    Gu, Zhenghua
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2016, 40 : 197 - 205
  • [45] Nonlinear analysis for an improved car-following model account for the optimal velocity changes with memory
    Jin, Zhizhan
    Li, Zhipeng
    Cheng, Rongjun
    Ge, Hongxia
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 507 : 278 - 288
  • [46] A Modified Car-Following Model Based on a Neural Network Model of the Human Driver Effects
    Khodayari, Alireza
    Ghaffari, Ali
    Kazemi, Reza
    Braunstingl, Reinhard
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2012, 42 (06): : 1440 - 1449
  • [47] AN EXTENDED MODEL FOR CAR-FOLLOWING
    BEXELIUS, S
    TRANSPORTATION RESEARCH, 1968, 2 (01): : 13 - &
  • [48] An improved car-following model from the perspective of driver's forecast behavior
    Liu, Da-Wei
    Shi, Zhong-Ke
    Ai, Wen-Huan
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2017, 28 (04):
  • [49] Driver Reactions to Uphill Grades: Inference from a Stochastic Car-Following Model
    Xu, Tu
    Laval, Jorge
    TRANSPORTATION RESEARCH RECORD, 2020, 2674 (11) : 343 - 351
  • [50] A New Car-Following Model with Consideration of the Driver's Delay Driving Behaviour
    Hu Jun-jun
    Zhang Yu
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2014, 52 (07): : 175 - 181
12345