Comparing paradigms for strategy learning of route choice with traffic information under uncertainty

作者：

Highlights：

• Travellers’ route choice dynamics with endogenous reliability of ATIS are modelled.

• Joint strategy fictitious play model best describes route choice learning process.

• In case of low accuracy of information, choice behaviour tends towards randomness.

摘要

•Travellers’ route choice dynamics with endogenous reliability of ATIS are modelled.•Joint strategy fictitious play model best describes route choice learning process.•In case of low accuracy of information, choice behaviour tends towards randomness.

论文关键词：Advanced traveller information system,Fictitious play,Bayesian learning, Reinforcement learning,Compliance,Route choice

论文评审过程：Received 17 February 2017, Revised 8 July 2017, Accepted 9 July 2017, Available online 12 July 2017, Version of Record 19 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.008