Consistently estimating link speed using sparse GPS data with measured errors

Masoud Fadaei Oshyani (), Marcus Sundberg () and Anders Karlström ()
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Masoud Fadaei Oshyani: KTH, Postal: Centrum för Transportstudier (CTS), Teknikringen 10, 100 44 Stockholm, Sweden
Marcus Sundberg: KTH, Postal: Centrum för Transportstudier (CTS), Teknikringen 10, 100 44 Stockholm, Sweden
Anders Karlström: KTH, Postal: Centrum för Transportstudier (CTS), Teknikringen 10, 100 44 Stockholm, Sweden

No 2013:12, Working papers in Transport Economics from CTS - Centre for Transport Studies Stockholm (KTH and VTI)

Abstract: Data sources using new technology such as the Geographical Positioning System are increasingly available. In many different applications, it is important to predict the average speed on all the links in a network. The purpose of this study is to estimate the link speed in a network using sparse GPS data set. Average speed is consistently estimated using Indirect Inference approach. In the end, the Monte Carlo evidence is provided to show that the results are consistent with parameter estimates.

Keywords: Travel time; Sparse GPS data; Indirect inference; Map matching; Route choice. (search for similar items in EconPapers)
JEL-codes: R40 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2013-09-16
New Economics Papers: this item is included in nep-dcm, nep-ecm and nep-tre
Note: To be published in the proceedings of the 16th Euro Working Group on Transportation, Porto, Portugal, 4-6 September 2013. QS 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:ctswps:2013_012

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