Route Anomaly Detection Using a Linear Route Representation

A location-based service is a service based on the geographical position of a mobile handheld device like a smartphone. This research 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 w...

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Main Authors: Wen-Chen Hu, Naima Kaabouch, Hung-Jen Yang, S. Hossein Mousavinezhad
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Journal of Computer Networks and Communications
Online Access:http://dx.doi.org/10.1155/2012/675605
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spelling doaj-75b60ff764a64fd29560c3729506073d2020-11-24T22:34:15ZengHindawi LimitedJournal of Computer Networks and Communications2090-71412090-715X2012-01-01201210.1155/2012/675605675605Route Anomaly Detection Using a Linear Route RepresentationWen-Chen Hu0Naima Kaabouch1Hung-Jen Yang2S. Hossein Mousavinezhad3Department of Computer Science, The University of North Dakota, Grand Forks, ND 58202, USADepartment of Electrical Engineering, The University of North Dakota, Grand Forks, ND 58202, USAIndustrial Technology Educational Department, National Kaohsiung Normal University, Kaohsiung City 80201, TaiwanDepartment of Electrical Engineering, Idaho State University, Pocatello, ID 83209, USAA location-based service is a service based on the geographical position of a mobile handheld device like a smartphone. This research 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 deliveryman does not follow his regular route to make deliveries. Different kinds of route anomalies are discussed and various methods for detecting the anomalies are proposed in this paper. The proposed method based on a linear route representation finds the matched routes from a set of stored routes as the current route is entered location by location. Route matching is made easy by comparing the current location to linear routes. An alert is generated when no matched routes exist. Preliminary experimental results show the proposed methods are effective and easy to use.http://dx.doi.org/10.1155/2012/675605
collection DOAJ
language English
format Article
sources DOAJ
author Wen-Chen Hu
Naima Kaabouch
Hung-Jen Yang
S. Hossein Mousavinezhad
spellingShingle Wen-Chen Hu
Naima Kaabouch
Hung-Jen Yang
S. Hossein Mousavinezhad
Route Anomaly Detection Using a Linear Route Representation
Journal of Computer Networks and Communications
author_facet Wen-Chen Hu
Naima Kaabouch
Hung-Jen Yang
S. Hossein Mousavinezhad
author_sort Wen-Chen Hu
title Route Anomaly Detection Using a Linear Route Representation
title_short Route Anomaly Detection Using a Linear Route Representation
title_full Route Anomaly Detection Using a Linear Route Representation
title_fullStr Route Anomaly Detection Using a Linear Route Representation
title_full_unstemmed Route Anomaly Detection Using a Linear Route Representation
title_sort route anomaly detection using a linear route representation
publisher Hindawi Limited
series Journal of Computer Networks and Communications
issn 2090-7141
2090-715X
publishDate 2012-01-01
description A location-based service is a service based on the geographical position of a mobile handheld device like a smartphone. This research 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 deliveryman does not follow his regular route to make deliveries. Different kinds of route anomalies are discussed and various methods for detecting the anomalies are proposed in this paper. The proposed method based on a linear route representation finds the matched routes from a set of stored routes as the current route is entered location by location. Route matching is made easy by comparing the current location to linear routes. An alert is generated when no matched routes exist. Preliminary experimental results show the proposed methods are effective and easy to use.
url http://dx.doi.org/10.1155/2012/675605
work_keys_str_mv AT wenchenhu routeanomalydetectionusingalinearrouterepresentation
AT naimakaabouch routeanomalydetectionusingalinearrouterepresentation
AT hungjenyang routeanomalydetectionusingalinearrouterepresentation
AT shosseinmousavinezhad routeanomalydetectionusingalinearrouterepresentation
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