Operational route choice methodologies for practical applications

Evanthia Kazagli (), Michel Bierlaire () and Matthieu de Lapparent ()
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Evanthia Kazagli: École Polytechnique Fédérale de Lausanne (EPFL)
Michel Bierlaire: École Polytechnique Fédérale de Lausanne (EPFL)
Matthieu de Lapparent: University of Applied Sciences and Arts Western Switzerland (HES-SO)

Transportation, 2020, vol. 47, issue 1, No 3, 43-74

Abstract: Abstract This paper focuses on the application of tractable route choice models and presents a set of methods for deriving relevant disaggregate and aggregate route choice indicators, namely link and route flows. Tractability is achieved at the disaggregate level by the recursive logit model and at the aggregate level by the mental representation item ($$\mathrm {MRI}$$MRI) approach. These two approaches are analyzed here, and extensions of the $${\mathrm {MRI}}$$MRI approach are presented. The analysis elaborates on the features of each model and allows to draw insights into the use of a specific model, depending on the needs of the application and the data availability. The performance of the two models is tested on real data. The results demonstrate the validity of the $${\mathrm {MRI}}$$MRI model that is intended for aggregate analysis.

Keywords: Route choice models; Route choice indicators; Applications; Aggregate analysis (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11116-017-9849-0

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