Paper Title:
A Study of Real Time Security Monitoring of Commercial Vehicles Using a Microscopic Traffic Simulation Model
  Abstract

This paper involves a study of a real-time system for monitoring the security of commercial vehicles in road networks. Embedded in the security monitoring system is a commercial vehicle tracking and incident detection algorithm which relies on a combination of vehicle telemetry data obtained from Global Positioning Systems and on-board sensors to continuously monitor the route choice and car-following behavior of the driver. The performance of this algorithm has been tested in a microscopic simulation model, on a set of hypothetical scenarios, which included deviations from the approved routes, forced to travel at unreasonably low speeds, or even stopped at unexpected places in the network. The initial results indicate that the proposed system has good potential in detecting abnormal driving behaviors, with 100% detection rate, 6.0 seconds of mean detection time, and less than 1% false alarm rate.

  Info
Periodical
Edited by
Qi Luo
Pages
1293-1298
DOI
10.4028/www.scientific.net/AMM.55-57.1293
Citation
H. Wang, R. Cheu, D. H. Lee, "A Study of Real Time Security Monitoring of Commercial Vehicles Using a Microscopic Traffic Simulation Model", Applied Mechanics and Materials, Vols. 55-57, pp. 1293-1298, 2011
Online since
May 2011
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