Energy Conservation Through Video Imaging and On Line Traffic Monitoring: Final Report

Abstract

This report describes a 'fully automated', simple and practical approach for extracting (in real time) sufficiently accurate measurements of the most common traffic parameters and Measures of Effectiveness (MOE) such as volumes, speeds, stops, delays, queue lengths, travel times and Level of Service, at intersections and highway segments. Then, those estimates are used to compute reasonable estimates of fuel consumption and pollution levels such as nitrous oxide, hydrocarbons and carbon monoxide emissions. To collect the necessary real time vehicle detection data required by the MOE algorithms, a machine vision system called Autoscope is utilized.

This report presents and proposes the use of the Autoscope and its accompanying Autoscope vehicle detection and MOE data collection programs as a viable option for real time traffic monitoring and analysis of intersections and highway segments.