Department of Information Systems

Conference paper

ISMAEL Mazen. Detecting Anomalous Trajectories and Traffic Services. In: Data a znalosti 2017. Plzeň: University of West Bohemia in Pilsen, 2017, pp. 1-5. ISBN 978-80-261-0720-0.
Publication language:english
Original title:Detecting Anomalous Trajectories and Traffic Services
Title (cs):Detekce anomálních trajektorií a dopravních služeb
Proceedings:Data a znalosti 2017
Conference:Data a znalosti 2017
Place:Plzeň, CZ
Publisher:University of West Bohemia in Pilsen
Anomalous Trajectory, Semantic Location, Traffic, iBAT / iBOAT
Among the traffic studies; the importance of detecting anomalous trajectories of vehicles rises to support many services, starting from security and safety services to maps and navigation services. The combination of many methods and concepts could offer interesting advantages, and iBAT (Isolation-Based Anomalous Trajectory) is one of the advanced frameworks that detect anomalous traffic trajectories. iBOAT (Isolation Based Online Trajectory) came after that as a version of iBAT able to process online data. Besides, using semantic locations could support navigation studies and increase maps' accuracy. In fact, developing the iBOATframework with semantic location could bring out interesting results. The aim of this paper is to present the progress of detecting anomalous driving patterns from GPS trajectories, which will be achieved by using the concept of semantic locations for the improvement of the scene partitioning.
   author = {Mazen Ismael},
   title = {Detecting Anomalous Trajectories and Traffic
   pages = {1--5},
   booktitle = {Data a znalosti 2017},
   year = 2017,
   location = {Plze{\v{n}}, CZ},
   publisher = {University of West Bohemia in Pilsen},
   ISBN = {978-80-261-0720-0},
   language = {english},
   url = {}

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