TY - JOUR A2 - Shen, Yongjun AU - Jiang, Xiaowei AU - Ji, Yanjie AU - Du, Muqing AU - Deng, Wei PY - 2014 DA - 2014/12/29 TI - A Study of Driver’s Route Choice Behavior Based on Evolutionary Game Theory SP - 124716 VL - 2014 AB - This paper proposes a route choice analytic method that embeds cumulative prospect theory in evolutionary game theory to analyze how the drivers adjust their route choice behaviors under the influence of the traffic information. A simulated network with two alternative routes and one variable message sign is built to illustrate the analytic method. We assume that the drivers in the transportation system are bounded rational, and the traffic information they receive is incomplete. An evolutionary game model is constructed to describe the evolutionary process of the drivers’ route choice decision-making behaviors. Here we conclude that the traffic information plays an important role in the route choice behavior. The driver’s route decision-making process develops towards different evolutionary stable states in accordance with different transportation situations. The analysis results also demonstrate that employing cumulative prospect theory and evolutionary game theory to study the driver’s route choice behavior is effective. This analytic method provides an academic support and suggestion for the traffic guidance system, and may optimize the travel efficiency to a certain extent. SN - 1687-5265 UR - https://doi.org/10.1155/2014/124716 DO - 10.1155/2014/124716 JF - Computational Intelligence and Neuroscience PB - Hindawi Publishing Corporation KW - ER -