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Frequent route based continuous moving object location- and density prediction on road networks
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatik och Geodesi.ORCID iD: 0000-0003-1164-8403
Aarhus University, Department of Computer Science.
European Centre for Soft Computing, Intelligent Data Analysis and Graphical Models Research Unit.
Aalborg University, Department of Computer Science.
2011 (English)In: GIS '11 Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems / [ed] Isabel F. Cruz and Divyakant Agrawal and Christian S. Jensen and Eyal Ofek and Egemen Tanin, ACM Press, 2011, 381-384 p.Conference paper (Refereed)
Abstract [en]

Emerging trends in urban mobility have accelerated the need for effective traffic prediction and management systems. The present paper proposes a novel approach to using continuously streaming moving object trajectories for traffic prediction and management. The approach continuously performs three functions for streams of moving object positions in road networks: 1) management of current evolving trajectories, 2) incremental mining of closed frequent routes, and 3) prediction of near-future locations and densities based on 1) and 2). The approach is empirically evaluated on a large real-world data set of moving object trajectories, originating from a fleet of taxis, illustrating that detailed closed frequent routes can be efficiently discovered and used for prediction.

Place, publisher, year, edition, pages
ACM Press, 2011. 381-384 p.
Keyword [en]
spatio-temporal data mining, mobility patterns, frequent routes, traffic prediction
National Category
Computer Science
URN: urn:nbn:se:kth:diva-82002DOI: 10.1145/2093973.2094028ScopusID: 2-s2.0-84856462959ISBN: 978-1-4503-1031-4OAI: diva2:499997
19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2011, November 1-4, 2011, Chicago, IL, USA
QC 20120217Available from: 2012-02-13 Created: 2012-02-11 Last updated: 2012-02-17Bibliographically approved

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Gidofalvi, Gyözö
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