Publication detail

Detecting Anomalous Trajectories and Traffic Services

ISMAEL, M.

Original Title

Detecting Anomalous Trajectories and Traffic Services

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

Anomalous Trajectory, Semantic Location, Traffic, iBAT / iBOAT

Authors

ISMAEL, M.

Released

5. 10. 2017

Publisher

University of West Bohemia in Pilsen

Location

Plzeň

ISBN

978-80-261-0720-0

Book

Data a znalosti 2017

Pages from

1

Pages to

5

Pages count

5

BibTex

@inproceedings{BUT146264,
  author="Mazen {Ismael}",
  title="Detecting Anomalous Trajectories and Traffic Services",
  booktitle="Data a znalosti 2017",
  year="2017",
  pages="1--5",
  publisher="University of West Bohemia in Pilsen",
  address="Plzeň",
  isbn="978-80-261-0720-0"
}