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
Link To Document :
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