Abstract
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.
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Boyce, D., Bar-Gera, H. Multiclass Combined Models for Urban Travel Forecasting. Networks and Spatial Economics 4, 115–124 (2004). https://doi.org/10.1023/B:NETS.0000015659.39216.83
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DOI: https://doi.org/10.1023/B:NETS.0000015659.39216.83