• DocumentCode
    3588188
  • Title

    Traffic flow simulation dovetailed with evolutionary game theory

  • Author

    Tanimoto, Jun ; Kukida, Shinji ; Hagishima, Aya ; Ikegaya, Naoki

  • Author_Institution
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 6-1 Kasuga-koen, Kasuga-shi, 816-8580, Japan
  • fYear
    2014
  • Firstpage
    517
  • Lastpage
    522
  • Abstract
    Previous work (Yamauchi et al., PRE 79 and Nakata et al., Physica A 389) found several social-dilemma structures in phases of traffic flows created by bottlenecks resulting from lane closings. We investigate another question: whether or not such structures can be formed from frequent lane changes in a usual traffic flow without any explicit bottlenecks. In our model system, two classes of driver-agents coexist: C-agents (cooperative strategy) always remain in the lane they are initially assigned, while D-agents (defective strategy) try to change lanes to move ahead. In relatively high-density flows, such as the metastable and high-density phases, we found structures that correspond to either n-person Prisoner´s Dilemma (n-PD) games or to quasi-PD games. In these situations, lane changes by D-agents create heavy traffic jams that reduce social efficiency.
  • Keywords
    Automata; Boundary conditions; Games; Junctions; Numerical models; Roads; Vehicles; Cellular Automaton; Dilemma Game; Lane Change; N-Person Prisoner´s Dilemma; Traffic Flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), 2014 International Conference on
  • Type

    conf

  • Filename
    7095071