This paper discusses choice set generation and route choice model estimation for large-
scale urban networks. Evaluating the effectiveness of Advanced Traveler Information …

This thesis focuses on the route choice behavior of car drivers (uni-modal networks). More
precisely, we are interested in identifying which route a given traveler would take to go from …

Most route choice models are related to revealed choice behavior and are estimated by
adding alternative paths to observed routes. This paper focuses on the effects of choice set …

Predictions of route flows in networks are sensitive to the route choice model applied as well
as to the route choice sets on which the choice models operate. Studies have shown that …

An algorithm to solve explicitly the path enumeration problem is proposed. This algorithm is
based on the branch-and-bound technique and belongs to the class of deterministic …

Modeling route choice behavior is problematic, but essential to appraise travelers'
perceptions of route characteristics, to forecast travelers' behavior under hypothetical …

Route choice models are difficult to design and to estimate for various reasons. In this paper
we focus on issues related to data. Indeed, real data in its original format are not related to …

This article reviews a number of topics related to the modelling and generation of route
choice sets, specifically for applications in large networks. It synthesizes existing knowledge …

Abstract Models of urban traveler route choice are reviewed in the context of Intelligent
Transportation Systems, particularly Advanced Traveler Information Systems. Existing …

This paper proposes a novel combination of machine learning techniques and discrete
choice models for route choice modeling. The data-driven choice set generation method …