Vehicle detectors in arterial roads and highways have long been used by the transportation management community for the purposes of determining vehicle presence at stop bars and traffic volume at a single point in a traffic stream. Advanced analysis of vehicle detectors and the waveforms they produce has recently become an area of increased interest in the transportation community. In this thesis, several applications of the waveforms produced by vehicle detectors will be explored.

Presently there is limited testing performed to evaluate a detector installation. By using vehicle signatures captured from vehicle detector waveforms, it is possible perform a more robust evaluation of detector installations. Several metrics for determining installation performance are presented.

Determining the travel time of a traffic stream over a significant distance is a much sought after goal by the transportation community. Vehicle signatures provide the foundation for a correlation based method of re-identifying vehicles over significant distances using existing transportation management infrastructure. Through the application of this vehicular re-identification, along with selective filtering of the data, it becomes possible to accurately determine, and track, the travel time of a traffic stream.

Date of this Version

April 2008


Electrical and Computer Engineering

Month of Graduation


Year of Graduation



Master of Science in Electrical and Computer Engineering

Advisor 1 or Chair of Committee

James V. Krogmeier

Committee Member 1

Darcy M. Bullock

Committee Member 2

Michael D. Zoltowski