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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, 1 pp. 41-52. ISBN 9789897583711. ISSN 2184-500X.
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Official URL: https://www.scitepress.org/PublicationsDetail.aspx...
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) | |||||||||
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| Subjects: | H Social Sciences > HE Transportation and Communications | |||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > 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 | |||||||||
| ISBN: | 9789897583711 | |||||||||
| ISSN: | 2184-500X | |||||||||
| Official Date: | 2019 | |||||||||
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| Volume: | 1 | |||||||||
| Page Range: | pp. 41-52 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||
| Date of first compliant deposit: | 1 March 2019 | |||||||||
| Date of first compliant Open Access: | 4 March 2019 | |||||||||
| RIOXX Funder/Project Grant: |
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| 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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