• DocumentCode
    2019064
  • Title

    Monte Carlo Simulation of Micro Traffic with Unpredictable Disturbance

  • Author

    Harsono, Tri ; Basuki, Achmad ; Arai, Kohei

  • Author_Institution
    Inf. Sci. Dept., Saga Univ., Saga
  • fYear
    2009
  • fDate
    25-29 May 2009
  • Firstpage
    224
  • Lastpage
    229
  • Abstract
    Monte Carlo simulation of micro traffic with unpredictable disturbance is conducted for the realistic situation in Sidoarjo hot mudflow disaster. We concern to the main artery road very close to high dike of disaster. This road is main traffic connection with surrounding areas of disaster and traffic density over there is very high.The mud volcano remains with a high flow rates. The important matter when the mud containment walls broken and the mudflows on the road is how does the vehicle can be evacuated from the disaster occurred areas through suffered roads. This study presents evacuation simulation of vehicles in surrounding affected road using agent-based modeling. We observe the time required for evacuation and the number of victim toward the traffic condition (probability of vehicle density) and the driving behavior (probability of lane changing). Both of them are evaluated and compared each other with/without agent.
  • Keywords
    Monte Carlo methods; digital simulation; disasters; multi-agent systems; probability; road traffic; road vehicles; traffic engineering computing; Monte Carlo simulation; agent-based modeling; disaster; lane changing probability; micro road traffic density; mud volcano; unpredictable disturbance; vehicle evacuation simulation; Arteries; Asia; Automotive engineering; Computational modeling; Information science; Levee; Road vehicles; Traffic control; Vehicle driving; Volcanoes; Micro traffic; agent based modeling; cellular automata; unpredictable disturbance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-4154-9
  • Electronic_ISBN
    978-0-7695-3648-4
  • Type

    conf

  • DOI
    10.1109/AMS.2009.48
  • Filename
    5071987