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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/1079
Title: A mixed, stochastic trip distribution and assignment model with variable origin and destination costs
Authors: Yang, Hai
Meng, Qiang
Keywords: Trip distribution
Traffic assignment
Mathematical models
Issue Date: 7-Dec-1996
Citation: The First Conference of Hong Kong Society for Transportation Studies, Dec. 7, 1996, HKUST, Hong Kong, Hong Kong Society for Transportation Studies, p. 125-140
Abstract: This paper develops a mixed, stochastic trip distribution and assignment model for urban location and travel choices with variable origin and destination costs. Different types of travelers will be considered explicitly, including: workers with fixed residences seeking jobs; workers with fixed job locations seeking residences; and workers with fixed residences and jobs. The costs or benefits of residing or working in a zone are described by appropriate location functions. The location function includes variables such as the total number of persons residing in a zone and the total number of persons working in a zone in order to reflect effects of activity congestion. We prove that the proposed model is equivalent to a convex optimization problem that can be solved by a convergent method of successive averages. A numerical example is presented to demonstrate the application of the model and algorithm.
URI: http://hdl.handle.net/1783.1/1079
Appears in Collections:CIVL Conference Papers

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