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Estimating flexible route choice models using sparse data
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.ORCID iD: 0000-0001-5290-6101
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport and Location Analysis.ORCID iD: 0000-0002-0089-6543
2012 (English)Report (Other academic)
Abstract [en]

GPS and nomad devices are increasingly used to provide data from individuals in urban traffic networks. In many different applications, it is important to predict the continuation of an observed path, and also, given sparse data, predict where the individual (or vehicle) has been. Estimating the perceived cost functions is a dicult statistical estimation problem, for different reasons. First, the choice set is typically very large. Second, it may be important to take into account the correlation between the (generalized) costs of different routes, and thus allow for realistic substitution patterns. Third, due to technical or privacy considerations, the data may be temporally and spatially sparse, with only partially observed paths. Finally, the position of vehicles may have measurement errors. We address all these problems using a indirect inference approach. We demonstrate the feasibility of the proposed estimator in a model with random link costs, allowing for a natural correlation structure across paths, where the full choice set is considered.

Place, publisher, year, edition, pages
CTS , 2012.
Keyword [en]
GPS, route choice model, indirect inference, sparse data, statistical estimation problem
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-71767OAI: oai:DiVA.org:kth-71767DiVA: diva2:486974
Note

TSC import 952 2012-01-30. QC 20120209. QC 20160222

Available from: 2012-01-31 Created: 2012-01-31 Last updated: 2016-02-22Bibliographically approved

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Karlström, AndersFadaei, Masoud

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf