Transport Network Design Problem under Uncertainty: A Review and New Developments

Anthony Chen, Zhong Zhou, Piya Chootinan, Seungkyu Ryu, Chao Yang and S. Wong

Transport Reviews, 2011, vol. 31, issue 6, 743-768

Abstract: This paper aims to provide a state-of-the-art review of the transport network design problem (NDP) under uncertainty and to present some new developments on a bi-objective-reliable NDP (BORNDP) model that explicitly optimizes the capacity reliability and travel time reliability under demand uncertainty. Both are useful performance measures that can describe the supply-side reliability and demand-side reliability of a road network. A simulation-based multi-objective genetic algorithm solution procedure, which consists of a traffic assignment algorithm, a genetic algorithm, a Pareto filter, and a Monte-Carlo simulation, is developed to solve the proposed BORNDP model. A numerical example based on the capacity enhancement problem is presented to demonstrate the tradeoff between capacity reliability and travel time reliability in the NDP.

Date: 2011
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DOI: 10.1080/01441647.2011.589539

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