Simulation of car-following decision based on wavelet neural network

被引:0
|
作者
Li, S [1 ]
机构
[1] Zhejiang Univ, Inst Intelligent Informat Engn, Hangzhou 310027, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Car-following is a kind of driving behavior which is difficult to be expressed precisely, and is influenced by multiple factors. In this paper, on the basis of using various information around a driver sufficiently, wavelet neural network is utilized to simulate car-following behavior in single lane and generates reliable simulation outcomes.
引用
收藏
页码:1060 / 1064
页数:5
相关论文
共 50 条
  • [21] Simulation of optimal control of train movement based on car-following model
    Ye Jing-Jing
    Li Ke-Ping
    Jin Xin-Min
    [J]. ACTA PHYSICA SINICA, 2014, 63 (07)
  • [22] Car-following traffic model based on PID control: modelling and simulation
    Han, Shuang
    Zhang, Jing
    Yang, Quanyue
    Yuan, Zijian
    Li, Shubin
    Cui, Fengying
    Zhang, Chuntang
    Wang, Tao
    [J]. ENGINEERING COMPUTATIONS, 2022, 39 (10) : 3400 - 3415
  • [23] An Improved Car-Following Model in Vehicle Networking Based on Network Control
    Kong, D. Y.
    Xu, H. Y.
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [24] MODELING DRIVER CAR-FOLLOWING BASED ON THE QUEUING NETWORK COGNITIVE ARCHITECTURE
    Bi, Lu-Zheng
    Liu, Yi-Li
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 895 - +
  • [25] Categorizing Car-Following Behaviors: Wavelet-Based Time Series Clustering Approach
    Zheng, Yuan
    He, Shuyan
    Yi, Ran
    Ding, Fan
    Ran, Bin
    Wang, Ping
    Lin, Yangxin
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2020, 146 (08)
  • [26] A recurrent neural network model for predicting two-leader car-following behavior
    Das, Sanhita
    Maurya, Akhilesh Kumar
    Dey, Arka
    [J]. TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2024, 16 (05): : 461 - 475
  • [27] Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network
    Li, Tenglong
    Ngoduy, Dong
    Lee, Seunghyeon
    Pu, Ziyuan
    [J]. 2023 8TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS, MT-ITS, 2023,
  • [28] Car-following behavior with instantaneous driver-vehicle reaction delay: A neural-network-based methodology
    Zheng, Jian
    Suzuki, Koji
    Fujita, Motohiro
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 36 : 339 - 351
  • [30] Development of an Asymmetric Car-Following Model and Simulation Validation
    Park, Minju
    Kim, Yeeun
    Yeo, Hwasoo
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (08) : 3513 - 3524