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

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.