Supernetworks for Combined Travel Choice Models

Supernetworks for Combined Travel Choice Models

A supernetwork is usually defined as an augmented network that consists of a “basic network” for route choice and a “virtual network” for other travel choices. Supernetwork representations are useful pedagogical device to interpret various combined travel choice models as an extension of the fixed demand traffic assignment problem. Based on three proposed criteria, this paper reviews current su...

Multiclass Combined Models for Urban Travel Forecasting

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 ...

Random Utility-Based Discrete Choice Models for Travel Demand Analysis

Origin-based algorithms for combined travel forecasting models

Consistent transportation forecasting models that combine travel demand and network assignment are receiving more attention in recent years. A fixed point formulation for the general combined model is presented. Measures for solution accuracy are discussed. An origin-based algorithm for solving combined models is proposed. Experimental results demonstrate the efficiency of the algorithm in comp...

Transferability of Mode Choice Models of Urban Travel

Transferability is an important issue in travel demand analysis and forecasting. Without transferability in time, the use of models for forecasting has no foundation; without transferability between regions, models developed in one region cannot be applied elsewhere; and without transferability of models from one part of a region to another part of the same region, taste and value differences t...