Consistently estimating link speed using sparse GPS data with measured errors
2014 (English)In: Transportation: Can we do more with less resources? – 16th Meeting of the Euro Working Group on Transportation – Porto 2013, Elsevier, 2014, 829-838 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Elsevier, 2014. 829-838 p.
, Procedia Social and Behavioral Sciences, ISSN 1877-0428 ; 111
Travel time, Sparse GPS data, Indirect inference, Map matching, route choice
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-122284DOI: 10.1016/j.sbspro.2014.01.117ISI: 000335582500085OAI: oai:DiVA.org:kth-122284DiVA: diva2:621806
16th Euro Working Group on Transportation, Porto, Portugal, 4-6 September 2013.
QC 20140613. Updated from manuscript to proceedings paper. QC 20160214. QC 201602212013-05-172013-05-172016-02-21Bibliographically approved