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Analysis of trajectory data in support of traffic management: A data mining approach
Department of Business Informatics and Operations, German University in Cairo (GUC), Cairo.
Teradata Egypt.
2014 (English)In: Advances in data mining: applications and theoretical aspects : 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings / [ed] Petra Perner, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2014, 174-188 p.Conference paper (Refereed)
Abstract [en]

Huge amount of location and tracking data is gathered by location and tracking technologies, such as global positioning system (GPS) and global system for mobile communication (GSM) devices; leading to the collection of large spatiotemporal datasets and to the opportunity of discovering usable knowledge about movement behavior. Movement behavior can be extremely useful in many ways when applied, for example, in the domain of traffic management, planning metropolitan areas, mobile marketing, tourism, etc. In this research, we move towards this direction and propose a framework for finding trajectory patterns of frequent behaviors using GSM data. The research question is «how to use trajectory data analysis in support of solving traffic management problems utilizing data mining techniques?» Our framework is illustrated to explain how GSM data can provide accurate information about population movement behavior, and hence support traffic decisions. © 2014 Springer International Publishing Switzerland.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2014. 174-188 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8557
Keyword [en]
data mining, traffic management, trajectory
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-35337DOI: 10.1007/978-3-319-08976-8-13ScopusID: 84905513472Local ID: 9d691bb7-5b45-4e5a-bd34-11076a3e1a33ISBN: 9783319089751OAI: oai:DiVA.org:ltu-35337DiVA: diva2:1008590
Conference
Industrial Conference on Advances in Data Mining : Applications and Theoretical Aspects 16/07/2014 - 20/07/2014
Note
Upprättat; 2014; 20150617 (ahmelr)Available from: 2016-09-30 Created: 2016-09-30

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