Traffic Games: Modeling Freeway Traffic with Game Theory

被引:15
|
作者
Cortes-Berrueco, Luis E. [1 ]
Gershenson, Carlos [2 ,3 ,4 ,5 ,7 ]
Stephens, Christopher R. [6 ,7 ]
机构
[1] Univ Nacl Autonoma Mexico, Posgrad Ciencia & Ingn Comp, Mexico City, DF, Mexico
[2] Univ Nacl Autonoma Mexico, Inst Invest Matemat Aplicadas & Sistemas, Mexico City, DF, Mexico
[3] MIT, SENSEable City Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] Northeastern Univ, MoBS Lab, Evanstone, IL USA
[5] ITMO Univ, St Petersburg, Russia
[6] Univ Nacl Autonoma Mexico, Inst Ciencias Nucl, Mexico City, DF, Mexico
[7] Univ Nacl Autonoma Mexico, Ctr Ciencias Complejidad, Mexico City, DF, Mexico
来源
PLOS ONE | 2016年 / 11卷 / 11期
关键词
CELLULAR-AUTOMATON MODEL; FLOW; EVOLUTION; POLICIES;
D O I
10.1371/journal.pone.0165381
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:34
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