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2D-STR : reducing spatio-temporal traffic datasets by partitioning and modelling

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Steadman, Liam, Griffiths, Nathan, Jarvis, Stephen A., McRobbie, Stuart and Wallbank, Caroline (2019) 2D-STR : reducing spatio-temporal traffic datasets by partitioning and modelling. In: The International Conference on Geographical Information Systems Theory, Applications and Management, Crete, Greece, 3-5 May 2019. Published in: Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management (In Press)

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Abstract

Spatio-temporal data generated by sensors in the environment, such as traffic data, is widely used in the transportation domain. However, learning from and analysing such data is increasingly problematic as the volume of data grows. Therefore, methods are required to reduce the quantity of data needed for multiple types of subsequent analysis without losing significant information. In this paper, we present the 2-Dimensional Spatio-Temporal Reduction method (2D-STR), which partitions the spatio-temporal matrix of a dataset into regions of similar instances, and reduces each region to a model of its instances. The method is shown to be effective at reducing the volume of a traffic dataset to <5% of its original volume whilst achieving a normalise root mean squared error of <5% when reproducing the original features of the dataset.

Item Type: Conference Item (Paper)
Alternative Title:
Subjects: H Social Sciences > HE Transportation and Communications
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Traffic engineering -- Data processing
Journal or Publication Title: Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management
Official Date: 2019
Dates:
DateEvent
2019Available
8 February 2019Accepted
Date of first compliant deposit: 1 March 2019
Status: Peer Reviewed
Publication Status: In Press
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/L016400/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
UNSPECIFIEDTransport Research LaboratoryUNSPECIFIED
Conference Paper Type: Paper
Title of Event: The International Conference on Geographical Information Systems Theory, Applications and Management
Type of Event: Conference
Location of Event: Crete, Greece
Date(s) of Event: 3-5 May 2019
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