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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Series: | Journal of Computer Networks and Communications |
Online Access: | http://dx.doi.org/10.1155/2012/675605 |
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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 |
_version_ |
1725728595486179328 |