Modeling the Impacts of Public Transport Reliability and Travel Information on Passengers’ Waiting-time Uncertainty
Public transport systems are subject to uncertainties related to traffic dynamic, operations, and passenger demand. Passenger waiting time is thus a random variable subject to day-to-day variations and the interaction between vehicle and passenger stochastic arrival processes. While the provision of real-time information could potentially reduce travel uncertainty, its impacts depend on the underlying service reliability, the performance of the prognosis scheme, and its perceived credibility. This paper presents a modeling framework for analyzing passengers’ learning process and adaptation with respect to waiting-time uncertainty and travel information. The model consists of a within-day network loading procedure and a day-to-day learning process, which are implemented in an agent-based simulation model. Each loop of within-day dynamics assigns travelers to paths by simulating the progress of individual travelers and vehicles as well as the generation and dissemination of travel information. The day-to-day learning model updates the accumulated memory of each traveler and updates consequently the credibility attributed to each information source based on the experienced waiting time. A case study in Stockholm demonstrates model capabilities and emphasizes the importance of behavioral adaptation when evaluating alternative measures which aim to improve service reliability.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/21924376
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Supplemental Notes:
- Copyright © 2017, Springer-Verlag Berlin Heidelberg and EURO - The Association of European Operational Research Societies.
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Authors:
- Cats, Oded
- Gkioulou, Zafeira
- Publication Date: 2017-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 247-270
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Serial:
- EURO Journal on Transportation and Logistics
- Volume: 6
- Issue Number: 3
- Publisher: SPRINGER VERLAG HEIDELBERG
- ISSN: 2192-4376
- EISSN: 2192-4384
- Serial URL: http://www.springerlink.com/content/2192-4376/
Subject/Index Terms
- TRT Terms: Information dissemination; Public transit; Quality of service; Real time information; Reliability; Simulation; Traffic assignment; Uncertainty; Waiting time
- Geographic Terms: Stockholm (Sweden)
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01644989
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 29 2017 10:13AM