Stochastic on-time arrival problem in transit networks
August 11, 2018 Β· Declared Dead Β· π Transportation Research Part B: Methodological
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Authors
Yang Liu, Sebastien Blandin, Samitha Samaranayake
arXiv ID
1808.04360
Category
cs.DS: Data Structures & Algorithms
Cross-listed
eess.SY,
math.OC,
stat.AP
Citations
27
Venue
Transportation Research Part B: Methodological
Last Checked
3 months ago
Abstract
This article considers the stochastic on-time arrival problem in transit networks where both the travel time and the waiting time for transit services are stochastic. A specific challenge of this problem is the combinatorial solution space due to the unknown ordering of transit line arrivals. We propose a network structure appropriate to the online decision-making of a passenger, including boarding, waiting and transferring. In this framework, we design a dynamic programming algorithm that is pseudo-polynomial in the number of transit stations and travel time budget, and exponential in the number of transit lines at a station, which is a small number in practice. To reduce the search space, we propose a definition of transit line dominance, and techniques to identify dominance, which decrease the computation time by up to 90% in numerical experiments. Extensive numerical experiments are conducted on both a synthetic network and the Chicago transit network.
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