A Learning Model of Passenger’s Path Choice in Urban Rail Network Based on Bayesian Method
A Learning Model of Passenger’s Path Choice in Urban Rail Network Based on Bayesian Method
- New search for: Du, Shi Min
- New search for: Luo, Qin
- New search for: Zheng, Yu
- New search for: Kong, Ling Yang
To determine passenger’s path choice is the base for research on ridership distribution in urban rail network. Considering passenger’s multi-days’ trips as a process to continuously update path information expressed by its sample mean and variance of travel cost, the paper establishes a self-learning model of passenger’s path choice in urban rail network based on Bayesian method by analyzing the acquisition of prior information beforetrip and knowledge updating after trip, as well as taking the adjustment of Urban Rail Transit operating conditions into account.The model proposed can be used to analyze the passenger flow formation and evolution mechanism in urban rail network.
Document information
A Learning Model of Passenger’s Path Choice in Urban Rail Network Based on Bayesian Method
Applied Mechanics and Materials ; 253-255 ; 1782-1786
2012-12-13
5 pages
Article (Journal)
Electronic Resource
English
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