Probe vehicle data sampled by time or space: Consistent travel time allocation and estimation
2015 (English)In: Transportation Research Part B: Methodological, ISSN 0191-2615, Vol. 71, 120-137 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2015. Vol. 71, 120-137 p.
Travel time estimation, Travel time allocation, Probe vehicle, Floating car data, Sampling, Polling
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-160764DOI: 10.1016/j.trb.2014.10.008ISI: 000348626000008ScopusID: 2-s2.0-84910647483OAI: oai:DiVA.org:kth-160764DiVA: diva2:791652
FunderVINNOVATrenOp, Transport Research Environment with Novel Perspectives
QC 201503022015-03-022015-02-272015-03-02Bibliographically approved