Networks and Spatial Economics

, Volume 4, Issue 1, pp 115–124

Multiclass Combined Models for Urban Travel Forecasting

  • David Boyce
  • Hillel Bar-Gera

DOI: 10.1023/B:NETS.0000015659.39216.83

Cite this article as:
Boyce, D. & Bar-Gera, H. Networks and Spatial Economics (2004) 4: 115. doi:10.1023/B:NETS.0000015659.39216.83


Progress in formulating, solving and implementing models with multiple user classes that combine several travel choices into a single, consistent mathematical formulation is reviewed. Models in which the travel times and costs on the road network are link flow-dependent are considered; such models seek to represent congestion endogenously. The paper briefly summarizes the origins of this field in the 1950s and its evolution through the development of solution algorithms in the 1970s. The primary emphasis of the review is on the implementation and application of multiclass models. The paper concludes with a brief discussion of prospects for improved solution algorithms.

Transportation network equilibriumcombined travel choice models

Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • David Boyce
    • 1
  • Hillel Bar-Gera
    • 2
  1. 1.Department of Civil and Materials EngineeringUniversity of IllinoisChicagoUSA
  2. 2.Department of Industrial Engineering and ManagementBen-Gurion University of the NegevBeer-ShevaIsrael