Traffic Games: Modeling Freeway Traffic with Game Theory
Name
Cortes-Berrueco-2016-Traffic Games_ Modeling F.pdf
Size
7.57 MB
Format
Adobe PDF
Checksum (MD5)
e57c12e4477325452e5b63f7f2d0b83a
Author(s)
Cortés-Berrueco, Luis E.
Stephens, Christopher R.
Gershenson Garcia, Carlos
Date Issued
November 2016
Journal
PLOS ONE
Publisher
Public Library of Science
Citation
Cortés-Berrueco, Luis E., Carlos Gershenson, and Christopher R. Stephens. “Traffic Games: Modeling Freeway Traffic with Game Theory.” Ed. Natalia L. Komarova. PLOS ONE 11.11 (2016): e0165381.
Version
Final published version
Abstract
We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers’ interactions.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Massachusetts Institute of Technology. SENSEable City Laboratory
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1371/journal.pone.0165381
