Network reserve capacity under influence of traveler information

Y. E. Ge, H. M. Zhang, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)


This paper provides a hierarchical framework for studying the impact of traveler information on network reserve capacity. The framework comprises a two-level mathematical program-the upper-level program maximizes the reserve capacity multiplier subject to a link capacity constraint, and the lower-level program generates user equilibrium flow patterns under the influence of traveler information. The two-level program is solved by a genetic algorithm-based solution method. Numerical results indicate that the reserve capacity of a road network does not increase monotonically with the increase of information level. The implications of this finding, including its dependence on the characteristics of the road network, are discussed.
Original languageEnglish
Pages (from-to)262-270
Number of pages9
JournalJournal of Transportation Engineering
Issue number3
Publication statusPublished - 1 May 2003


  • Algorithms
  • Information systems
  • Traffic capacity
  • Transportation networks
  • Travel demand

ASJC Scopus subject areas

  • Civil and Structural Engineering


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