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SURE-SE: Sensors for Unplanned Roadway Events--Simulation and Evaluation: Final Report

John Heidemann, Fabio Silva, Xi Wang, Genevieve Giuliano, and Mengzhao Hu
USC/Information Sciences Institute

Abstract

The purpose of this research was to demonstrate the feasibility of using sensor networks in traffic monitoring applications, specifically a rapidly deployable network of traffic sensors (NOTS) for short-term monitoring and data collection. A sensor network is an array of sensors attached to small computer nodes that have communications capabilities via wireless network. Our application problem is heavy duty truck data: vehicle classification and reidentification, particularly under slow or varying speed conditions. An experimental sensor, the IST Blade sensor, is essentially a portable inductive loop sensor that provides high resolution data. We used the Blade sensor for our initial experiments. We conducted a field experiment on the USC campus in order to collect data for development of classification algorithms. Our results are encouraging; classification accuracy is comparable to that of other recent research efforts. Once we have developed acceptable classification algorithms, two directions are apparent for future research: use of multiple sensors with the goal of improving classification results, and the use of vehicle signatures to allow re-identification of vehicles across multiple sensors.

Availability

This paper is available in several formats: abstract web page with pointers and cites, PDF, paper copies can be obtained by mail to the authors. Copyright terms for this paper appear below.

Reference

Heidemann05d: John Heidemann, Fabio Silva, Xi Wang, Genevieve Giuliano, and Mengzhao Hu. SURE-SE: Sensors for Unplanned Roadway Events--Simulation and Evaluation: Final Report. METRANS Project 05-08 final report, USC/Information Sciences Institute, May, 2005. finalized July 2007; typographic corrections April 2008. <http://www.isi.edu/~johnh/PAPERS/Heidemann05d.html>.

@techreport{Heidemann05d,
	author = "John Heidemann and Fabio Silva and Xi Wang
 and Genevieve Giuliano and Mengzhao Hu",
	title = "{SURE-SE}: Sensors for Unplanned Roadway
                         Events---Simulation and Evaluation: Final Report",
	institution = "USC/Information Sciences Institute",
	year = "2005",
	type = "METRANS Project 05-08 final report",
	month = "May",
	note = "finalized July 2007; typographic corrections April 2008",
	keywords = "sure-se final report, sensors, vehicle classification",
	url = "http://www.isi.edu/~johnh/PAPERS/Heidemann05d.html",
	pdfurl = "http://www.isi.edu/~johnh/PAPERS/Heidemann05d.pdf",
	myorganization = "USC/Information Sciences Institute",
}

Copyright

This paper is copyright © 2005 by its authors. Permission to make digital or hard copies of part or all of this work for personal use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that new copies bear this notice and the full citation on the first page. Abstracting with credit is permitted.

To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission of the authors.