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 decision exactly and the provided route is reliable.
Route Choice Model Based on Game Theory for Commuters
2016
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
The impact of perceived risk on urban commuters' route choice
Online Contents | 1998
|Route Choice Analysis of Bus-Use Commuters in Yangon, Myanmar
British Library Conference Proceedings | 2010
|Understanding the Effect of ATIS on Commuters' Route Choice Decisions
British Library Conference Proceedings | 1995
|Bicyclist commuters’ choice of on-street versus off-street route segments
Online Contents | 2013
|