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Contribution to Book
Incremental Location Searching for Route Anomaly Detection
Proceedings of the IEEE International Conference on Electro/Information Technology (2011)
  • Wen-Chen Hu, University of North Dakota
  • Naima Kaabouch, University of North Dakota
  • Lei Chen, Georgia Southern University
  • Hung-Jen Yang, National Kaohsiung Normal University
Abstract
Since the introduction of iPhone in 2007, smartphones have become very popular. The high mobility of smartphones has created many applications that are not possible or inconvenient for PCs and servers, even notebooks. One of the mobile applications, location-based services (LBS), has attracted great attention recently. This paper proposes location-based research, which uses location information to find route anomalies, a common problem of daily life. For example, an alert should be generated when a school bus misses part of a route. Different kinds of route anomalies are discussed and various methods for detecting the anomalies are proposed in this paper. The major methods use a technique of incremental location search, which finds matched routes as the search route is entered location by location. An alert is generated when no matched routes exist. Preliminary experiment results show the proposed methods are effective and easy-to-use.
Keywords
  • Incremental location,
  • Route,
  • Anomaly detection
Publication Date
May 15, 2011
Publisher
IEEE
ISBN
978-1-61284-466-4
DOI
10.1109/EIT.2011.5978626
Citation Information
Wen-Chen Hu, Naima Kaabouch, Lei Chen and Hung-Jen Yang. "Incremental Location Searching for Route Anomaly Detection" Mankato, MNProceedings of the IEEE International Conference on Electro/Information Technology (2011) p. 1 - 6
Available at: http://works.bepress.com/lei-chen/92/