John Heidemann

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

TitleSURE-SE: Sensors for Unplanned Roadway Events–-Simulation and Evaluation: Final Report
Publication TypeTechnical Report
Year of Publication2005
AuthorsJ. Heidemann, F. Silva, X. Wang, G. Giuliano, and M. Hu
Date Publishedmay
Institutionusc-isi
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.

URLhttp://www.isi.edu/%7ejohnh/PAPERS/Heidemann05d.html
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