A Novel Approach for Mining Trajectory Patterns of Moving Vehicles
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10.5120/18188-9097 |
Vaishali Mirge, Shubhrata Gupta and Keshri Verma. Article: A Novel Approach for Mining Trajectory Patterns of Moving Vehicles. International Journal of Computer Applications 104(4):4-8, October 2014. Full text available. BibTeX
@article{key:article,
author = {Vaishali Mirge and Shubhrata Gupta and Keshri Verma},
title = {Article: A Novel Approach for Mining Trajectory Patterns of Moving Vehicles},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {104},
number = {4},
pages = {4-8},
month = {October},
note = {Full text available}
}
Abstract
With the advances in location- acquisition technologies such as Global Positioning System (GPS), Global System for Mobile Communications (GSM) etc, increasing amounts of movement data collected from various moving objects such as animals, vehicles, mobile devices, and climate radars have become widely available. Turning a collection of time-geography data into mobility knowledge is a key issue in many research domain. In this article we focus on the analysis of trajectories of moving vehicles and identifying the paths on road networks, which are suffering with heavy traffic. This paper proposes a novel algorithm to get trajectory patterns as a sequence of spatio-temporal regions. These sequences specify the paths heavily loaded with vehicles in certain duration. The problem domain is divided into two parts, First in order to discover spatio-temporal regions, the data space is partitioned into meaningful clusters called spatio-temporal regions. Second, arranged the spatio-temporal regions according to ascending order of time to obtain the trajectory patterns, which shows the paths frequently followed by most of the vehicles in certain duration i. e. path suffered with heavy traffic.
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