A Frequency-Based Transit Assignment Model That Considers Online Information at the Boarding Stop
This paper develops a frequency based transit assignment model, assuming that predicted vehicles’ arrival times are available to the passenger at the boarding stop. The passenger is assumed to consider the estimated arrival times together with the expected travel times, when selecting a path. The assignment procedure includes the selection of attractive paths, the setting of route choice decision rules for different cases of arrival times, and the calculation of probabilities for these different cases. The model is applied on the medium size network of Winnipeg, and the results are compared to the well-known optimal strategies method. The model produces significantly different assignment results and a notable reduction in the total travel time. The results illustrate the potential impact of online information on travel behavior, and emphasize the need of its consideration in assignment models.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling. Alternate title: Frequency-Based Transit Assignment Model That Considers Online Information at Boarding Stop
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Oliker, Nurit
- Bekhor, Shlomo
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 13p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Boarding; Computer online services; Public transit; Route choice; Traffic equilibrium
- Uncontrolled Terms: Transit assignment
- Geographic Terms: Winnipeg (Canada)
- Subject Areas: Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01626047
- Record Type: Publication
- Report/Paper Numbers: 17-01320
- Files: TRIS, TRB, ATRI
- Created Date: Feb 15 2017 5:03PM