On multi-objective stochastic user equilibrium

Ehrgott, Matthias and Wang, Judith Y. T. and Watling, David P. (2015) On multi-objective stochastic user equilibrium. Transportation Research Part B: Methodological, 81 (3). pp. 704-717. ISSN 0191-2615

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Abstract

There is extensive empirical evidence that travellers consider many qualities (travel time, tolls, reliability, etc.) when choosing between alternative routes. Two main approaches exist to deal with this in network assignment models: Combine all qualities into a single (linear) utility function, or solve a multi-objective problem. The former has the advantages of a unique solution and efficient algorithms; the latter, however, is more general, but leads to many solutions and is difficult to implement in larger systems. In the present paper we present three alternative approaches for combining the principles of multi-objective decision-making with a stochastic user equilibrium model based on random utility theory. The aim is to deduce a tractable, analytic method. The three methods are compared both in terms of their theoretical principles, and in terms of the implied trade-offs, illustrated through simple numerical examples.

Item Type:
Journal Article
Journal or Publication Title:
Transportation Research Part B: Methodological
Additional Information:
This is the author’s version of a work that was accepted for publication in Transportation Research Part B: Methodological. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part B: Methodological, 81, 3 2015 DOI: 10.1016/j.trb.2015.06.013
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
ID Code:
75304
Deposited By:
Deposited On:
19 Aug 2015 09:20
Refereed?:
Yes
Published?:
Published
Last Modified:
04 Jul 2020 02:49