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Probe vehicle data sampled by time or space: Consistent travel time allocation and estimation
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik.ORCID-id: 0000-0002-4106-3126
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik.
2015 (engelsk)Inngår i: Transportation Research Part B: Methodological, ISSN 0191-2615, E-ISSN 1879-2367, Vol. 71, s. 120-137Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A characteristic of low frequency probe vehicle data is that vehicles traverse multiple network components (e.g., links) between consecutive position samplings, creating challenges for (i) the allocation of the measured travel time to the traversed components, and (ii) the consistent estimation of component travel time distribution parameters. This paper shows that the solution to these problems depends on whether sampling is based on time (e.g., one report every minute) or space (e.g., one every 500 m). For the special case of segments with uniform space-mean speeds, explicit formulae are derived under both sampling principles for the likelihood of the measurements and the allocation of travel time. It is shown that time-based sampling is biased towards measurements where a disproportionally long time is spent on the last segment. Numerical experiments show that an incorrect likelihood formulation can lead to significantly biased parameter estimates depending on the shapes of the travel time distributions. The analysis reveals that the sampling protocol needs to be considered in travel time estimation using probe vehicle data.

sted, utgiver, år, opplag, sider
2015. Vol. 71, s. 120-137
Emneord [en]
Travel time estimation, Travel time allocation, Probe vehicle, Floating car data, Sampling, Polling
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-160764DOI: 10.1016/j.trb.2014.10.008ISI: 000348626000008Scopus ID: 2-s2.0-84910647483OAI: oai:DiVA.org:kth-160764DiVA, id: diva2:791652
Forskningsfinansiär
VINNOVATrenOp, Transport Research Environment with Novel Perspectives
Merknad

QC 20150302

Tilgjengelig fra: 2015-03-02 Laget: 2015-02-27 Sist oppdatert: 2017-12-04bibliografisk kontrollert

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