Volume 9 Number 6 (Jun. 2014)
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JSW 2014 Vol.9(6): 1382-1388 ISSN: 1796-217X
doi: 10.4304/jsw.9.6.1382-1388

A Microscopic Simulation Modelling of Vehicle Monitoring Using Kinematic Data Based on GPS and ITS Technologies

Hao Wang1, Ruey Long Cheu2

1Ningbo Institute of Technology, Zhejiang University, Ningbo, China
2Department of Civil Engineering, the University of Texas at El Paso, El Paso, USA

Abstract—This paper presents an en-route anti-terrorism security system for commercial vehicle operations (CVO) using kinematic data based on Global Positioning Systems (GPS) and Intelligent Transportation Systems (ITS) technologies. The real-time information of the coordinate position and speed of the concerned vehicle as well as the speed of and the gap to the vehicle ahead was taken into account during the terrorism detection. Two typical cases studies, i.e. container trucks running through a freeway network and a bank-armored vehicle traveling across a metropolitan Central Business District (CBD) area, were conducted to test the performance of the proposed system. The designed terrorism scenarios included mixtures of hijack behaviors like deviation from the original route, forced slowdown/stop by the in-vehicle terrorists and forced slowdown/stop by the vehicle ahead. Commercial vehicle operations under such terrorism scenarios were simulated by a customized microscopic traffic simulation model using real networks with real OD data. Experiment results from the simulations show that the proposed system is capable of being efficient in detecting the strange behaviors of commercial vehicles involved in a possible terrorist attack.

Index Terms—Anti-Terrorism, Security System, CVO, GPS, ITS


Cite: Hao Wang, Ruey Long Cheu, "A Microscopic Simulation Modelling of Vehicle Monitoring Using Kinematic Data Based on GPS and ITS Technologies," Journal of Software vol. 9, no. 6, pp. 1382-1388, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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