Frequent route based continuous moving object location- and density prediction on road networks
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)
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.
spatio-temporal data mining, mobility patterns, frequent routes, traﬃc prediction
IdentifiersURN: urn:nbn:se:kth:diva-82002DOI: 10.1145/2093973.2094028ScopusID: 2-s2.0-84856462959ISBN: 978-1-4503-1031-4OAI: oai:DiVA.org:kth-82002DiVA: diva2:499997
19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2011, November 1-4, 2011, Chicago, IL, USA
QC 201202172012-02-132012-02-112012-02-17Bibliographically approved