Abstract
The traffic behaviours of commuters may cause traffic congestion during peak hours. Advanced Traffic Information System can provide dynamic information to travellers. Due to the lack of timeliness and comprehensiveness, the provided information cannot satisfy the travellers’ needs. Since the assumptions of traditional route choice model based on Expected Utility Theory conflict with the actual situation, a route choice model based on Game Theory is proposed to provide reliable route choice to commuters in actual situation in this paper. The proposed model treats the alternative routes as game players and utilizes the precision of predicted information and familiarity of traffic condition to build a game. The optimal route can be generated considering Nash Equilibrium by solving the route choice game. Simulations and experimental analysis show that the proposed model can describe the commuters’ routine route choice decisionexactly and the provided route is reliable.
Highlights
With the improvement of national economy and the acceleration of urbanization, the range of urban residents becomes larger, and the employment range expands as well
The existing route guidance systems are insufficient in the aspects of continuous variation of time characteristics and individual preference characteristics
The corresponding routes choice is established according to the accumulated experienced time rather than real traffic situation, which leads to the choice results with great deviation relative to the facts
Summary
With the improvement of national economy and the acceleration of urbanization, the range of urban residents becomes larger, and the employment range expands as well. Shiftan et al [15] established the route choice model with the parameters of personal attribute, family attribute and travel characteristic They found that the drivers are not willing to change their routes when they get insufficient traffic information or information not familiar with the traffic situation. They do not concern the influence on the entire traffic condition, which agrees with the example of individual rationality and collective rationality in Game Theory Because in this situation everyone makes the decision according to their own benefit, but the final result is collective outcome suffering [17]. Researchers did a great work in travel behaviour influence for traffic information and route choice under uncertain environment These studies mainly focus on single behaviour factor which separated the key behaviour factors, such as information search, learning, cognitive update and scheme generation. A commuter route choice game model is proposed to obtain Nash Equilibrium based on guidance information in this paper to provide reliable optimal commuting route
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
