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.

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