Assessing the accuracy benefits of on-the-fly trajectory selection in fine-grained travel-time estimation

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5 Citationer (Scopus)

Abstrakt

Today's one-size-fits-all approach to travel-time computation in spatial networks proceeds in two steps. In a preparatory off-line step, a set of distributions, e.g., one per hour of the day, is computed for each network segment. Then, when a path and a departure time are provided, a distribution for the path is computed on-line from pertinent pre-computed distributions. Motivated by the availability of massive trajectory data from vehicles, we propose a completely on-line approach, where distributions are computed from trajectories on-the-fly, i.e., when a query arrives. This new approach makes it possible to use arbitrary sets of underlying trajectories for a query. Specifically, we study the potential for accuracy improvements over the one-size-fits-all approach that can be obtained using the on-the-fly approach and report findings from an empirical study that suggest that the on-the-fly approach is able to improve accuracy significantly and has the potential to replace the current one-size-fits-all approach.

OriginalsprogEngelsk
TitelProceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017
Antal sider6
ForlagIEEE
Publikationsdato29 jun. 2017
Sider240-245
Artikelnummer7962458
ISBN (Elektronisk)9781538639320
DOI
StatusUdgivet - 29 jun. 2017
Begivenhed18th IEEE International Conference on Mobile Data Management, MDM 2017 - Daejeon, Sydkorea
Varighed: 29 maj 20171 jun. 2017

Konference

Konference18th IEEE International Conference on Mobile Data Management, MDM 2017
Land/OmrådeSydkorea
ByDaejeon
Periode29/05/201701/06/2017
SponsorDaejeon International Marketing Enterprise, Daejeon Metropolitan City, IEEE, IEEE Technical Committee on Data Engineering (TCDE), Korea Advanced Institute of Science and Technology (KAIST) School of Computing

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