Traffic Flow Simulation Dovetailed with Evolutionary Game Theory

Jun Tanimoto, Shinji Kukida, Aya Hagishima, Naoki Ikegaya

2014

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.

References

  1. Kerner, B. S, 2009; Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory, Springer.
  2. Kokubo. S., Tanimoto. J., Hagishima. A., 2011; A new Cellular Automata Model including a decelerating damping effect to reproduce Kerner's three-phase theory, Physica A 390(4), 561-568.
  3. Kukida. S.; Tanimoto. J.; Hagishima. A., 2011; Analysis of the influence of lane changing on traffic-flow dynamics based on the cellular automaton model, International Journal of Modern Physics C 22(3), 1-11.
  4. Nakata, M., Yamauchi, A., Tanimoto, J., Hagishima, A., 2010; Dilemma game structure hidden in traffic flow at a bottleneck due to a 2 into 1 lane junction, Physica A 389, 5353-5361.
  5. Yamauchi, A., Tanimoto, J., Hagishima, A., Sagara, H., 2009; Dilemma game structure observed in traffic flow at a 2-to-1 lane junction, Physical Review E 79, 036104.
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Paper Citation


in Harvard Style

Tanimoto J., Kukida S., Hagishima A. and Ikegaya N. (2014). Traffic Flow Simulation Dovetailed with Evolutionary Game Theory . In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-038-3, pages 517-522. DOI: 10.5220/0004986505170522


in Bibtex Style

@conference{simultech14,
author={Jun Tanimoto and Shinji Kukida and Aya Hagishima and Naoki Ikegaya},
title={Traffic Flow Simulation Dovetailed with Evolutionary Game Theory},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2014},
pages={517-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004986505170522},
isbn={978-989-758-038-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Traffic Flow Simulation Dovetailed with Evolutionary Game Theory
SN - 978-989-758-038-3
AU - Tanimoto J.
AU - Kukida S.
AU - Hagishima A.
AU - Ikegaya N.
PY - 2014
SP - 517
EP - 522
DO - 10.5220/0004986505170522