Robust improvement schemes for road networks under demand uncertainty

Yafeng Yin, Samer M. Madanat, Xiao Yun Lu

Research output: Contribution to journalArticlepeer-review

Abstract

This paper is concerned with development of improvement schemes for road networks under future travel demand uncertainty. Three optimization models, sensitivity-based, scenario-based and min-max, are proposed for determining robust optimal improvement schemes that make system performance insensitive to realizations of uncertain demands or allow the system to perform better against the worst-case demand scenario. Numerical examples and simulation tests are presented to demonstrate and validate the proposed models.

Original languageEnglish (US)
Pages (from-to)470-479
Number of pages10
JournalEuropean Journal of Operational Research
Volume198
Issue number2
DOIs
StatePublished - Oct 16 2009

Keywords

  • Network design
  • Robustness and sensitivity analysis
  • Transportation
  • Uncertainty modelling

ASJC Scopus subject areas

  • Computer Science(all)
  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

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