SURE-SE: Sensors for Unplanned Roadway Events—Simulation and Evaluation: Final Report. Heidemann, J., Silva, F., Wang, X., Giuliano, G., & Hu, M. Technical Report USC/Information Sciences Institute, May, 2005. finalized July 2007; typographic corrections April 2008Paper abstract bibtex 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.
@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,
sortdate = "2005-07-01",
project = "ilense, surese",
jsubject = "sensornet_fusion",
type = "METRANS Project 05-08 final report",
month = may,
note = "finalized July 2007; typographic corrections April 2008",
location = "johnh: pafile",
keywords = "sure-se final report, sensors, vehicle classification",
url = "http://www.isi.edu/%7ejohnh/PAPERS/Heidemann05d.html",
pdfurl = "http://www.isi.edu/%7ejohnh/PAPERS/Heidemann05d.pdf",
myorganization = "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.
",
}
Downloads: 0
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