• DocumentCode
    519561
  • Title

    Microscopic dynamic simulation model for pedestrian-vehicle mixed traffic

  • Author

    Wu, Huixin ; Wu, Wenhong

  • Author_Institution
    Dept. of Inf. Eng., North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    17-18 April 2010
  • Firstpage
    153
  • Lastpage
    156
  • Abstract
    The current urban transportations are mostly mixed traffic, consisting of three kinds of microscopic traffic objects: motor vehicles, non-motor vehicles and pedestrian traffic. In this paper, based on the analysis of traffic characteristics of the above objects, we construct the simulation model for motor vehicles and the cellular automata-based simulation model for pedestrian, and propose vehicle collision avoidance strategies and pedestrian avoidance strategies. This modeling method takes the similarity between models and the real world as the criterion, and effectively overcomes the problems which the accurate mathematical model encountered in mixed traffic simulation. The simulation results shows that, this method effectively simulates some characteristics of mixed traffic, and has broad application prospects in urban traffic planning, traffic demand management, traffic control and other such areas.
  • Keywords
    cellular automata; traffic engineering computing; cellular automata; mathematical model; microscopic dynamic simulation model; motor vehicles; non-motor vehicles; pedestrian; pedestrian-vehicle mixed traffic; urban transportations; Analytical models; Collision avoidance; Communication system traffic control; Computational modeling; Intelligent systems; Marine vehicles; Mathematical model; Microscopy; Switches; Traffic control; cellular automata; conflict avoidance model; mixed traffic; system simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-5514-0
  • Type

    conf

  • DOI
    10.1109/EDT.2010.5496619
  • Filename
    5496619