• DocumentCode
    234875
  • Title

    Simulation Study on the Keep-Right-Except-to-Pass Rule Model Based on Cellular Automata

  • Author

    Xin Yang ; Linna Wang ; Hongbo Zai ; Yanrong Ren

  • Author_Institution
    Coll. of Electron. Eng., Sichuan Normal Univ., Chengdu, China
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    338
  • Lastpage
    342
  • Abstract
    We establish two models with Cellular Automaton (CA) to simulate the conditions of multi-lane freeways under the Keep-Right-Except-to-Pass (KRETP) rule and other improved road rules. We establish the Keep-Right-Except-to- Pass (KRETP) model, which takes into consideration human behaviors when simulating the KRETP rule in both light and heavy traffic. In this model we divide drivers into two categories: active drivers and conservative drivers. Results shows that when compared with single-lane stochastic cellular automata (STCA) model, the KRETP model does not show any obvious difference in light traffic. In heavy traffic, the KRETP rule also barely improves traffic flow. When further examined under different traffic conditions, the KRETP shows that lane changing frequency and the possibility of traffic accidents vary directly with traffic flow and inversely with traffic safety.
  • Keywords
    cellular automata; road safety; road traffic; stochastic processes; KRETP rule; STCA model; active drivers; conservative drivers; keep-right-except-to-pass rule; keep-right-except-to-pass rule model; multi-lane freeways; single-lane stochastic cellular automata model; traffic flow; traffic safety; Accidents; Analytical models; Automata; Mathematical model; Roads; Safety; Vehicles; Cellular Automaton; Lane-changing; Rule; Stochastic cellular automata; Traffic flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.142
  • Filename
    7016913