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Title: The Passenger Stock and Attractivity Threshold Model for Traffic Assignment on a Public Transit Network with Capacity Constraint
Accession Number: 01332849
Record Type: Component
Abstract: This paper presents the principles of a traffic assignment model for public transit networks which includes constraints on the total passenger capacity of vehicles. The model takes account of the stock of passengers waiting at each station and of the way this stock is organized. The authors define the attractivity conditions for one transit route compared with the alternative transit routes for a given destination based on the current status of the stock: the transit route in question is attractive when the level of the stock exceeds a certain threshold -- its attractivity threshold. The authors describe a discrete stochastic model for one station and one destination. As the analytical resolution of this Markov model is limited to very simple cases, the authors convert it into a continuous model for which we describe the equilibrium and the traffic induced on all routes. Finally, the various models are compared using a simple example modeling the competition between two taxi companies on a single O-D pair.
Supplemental Notes: The DVD lists the title of this paper as: Passenger Stock and Attractivity Threshold Model for Traffic Assignment on a Public Transit Network with Capacity Constraint.
Monograph Title: Monograph Accession #: 01329018
Report/Paper Numbers: 11-2382
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Leurent, Fabien MBenezech, VincentPagination: 16p
Publication Date: 2011
Conference:
Transportation Research Board 90th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: Figures
(3)
; References
(14)
TRT Terms: Subject Areas: Operations and Traffic Management; Public Transportation; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2011 Paper #11-2382
Files: TRIS, TRB
Created Date: Feb 17 2011 6:09PM
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