Robust transport network capacity planning with demand uncertainty

Agachai Suamalee, Paramet Luathep, Hing Keung William Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper proposes a robust transport network capacity planning model (RTNCP) with demand uncertainty. The stochastic demand is assumed to follow a normal distribution with travellers' route choice behaviour following Probit Stochastic User Equilibrium (SUE). The network reserve capacity is measured by potential increase in both mean and standard deviation of the base stochastic demand. The objective of the RTNCP is, thus, to optimise the link capacity expansion so as to maximize the weighted sum of mean and standard deviation perturbed demands without violating the link capacity and budget constraints. The paper applies the implicit programming method to solve the optimization problem. The sensitivity analysis approach is adopted to derive the derivative of the equilibrium path choice probability with respect to design variables. The proposed model and algorithm are then applied to a test network.
Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Traffic and Transportation Studies Congress 2008
Subtitle of host publicationTraffic and Transportation Studies Congress 2008, ICTTS 2008
Pages408-419
Number of pages12
Volume322
Publication statusPublished - 1 Dec 2008
Event6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008 - Nanning, China
Duration: 5 Aug 20087 Aug 2008

Conference

Conference6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008
CountryChina
CityNanning
Period5/08/087/08/08

Keywords

  • Bilevel optimization
  • Network design problem
  • Network reliability
  • Robustness network design

ASJC Scopus subject areas

  • Mechanical Engineering

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