The Library
2D-STR : reducing spatio-temporal traffic datasets by partitioning and modelling
Tools
Tools
Tools
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)
|
PDF
WRAP-2D-STR-reducing-spatio-temporal-traffic-datasets-partitioning-Steadman-2019.pdf - Accepted Version - Requires a PDF viewer. Download (590Kb) | Preview |
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: |
|
|||||||||
| 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: |
|
|||||||||
| 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 | |||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
