Route choice modeling: background and recent developments
2010 (English)Conference paper (Other academic)
Predicting traffic of individual drivers' behavior is an important part of many transport relatedapplications, for example, traffic simulation and intelligent GPS navigation. Travelers have differenttrip purposes, habits, preferences, et cetera, and do not necessarily choose the shortest path. For thisreason, random utility models (RUM) are used and the topic of this talk is the estimation of such modelsbased on trip observations in real networks (revealed preferences data) and their application. Using theRUM framework, there are two main issues that need to be addressed; definition of alternatives andmodeling correlation among alternatives. The talk has the following outline. First a background to routechoice modeling (static uni-modal networks) is given and an application in the Swedish city of Borlängeis used as an example. Second, a sampling of alternatives approach for the definition of choice sets ispresented (joint work with Moshe Ben-Akiva and Michel Bierlaire). Finally, some future researchdirections are discussed.
Place, publisher, year, edition, pages
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-71334OAI: oai:DiVA.org:kth-71334DiVA: diva2:486664
Cirrelt Seminar. Montreal, Canada. October 21 2010
TSC import 135 2012-01-30. QC 201204242012-01-312012-01-312012-04-24Bibliographically approved