@article{ref1,
title="Converting traffic signals to 100% digital detection : colorado springs reduces traffic congestion",
journal="APWA reporter",
year="2001",
author="Zelenok, D.",
volume="68",
number="7",
pages="4 p.-4 p.",
abstract="This article discusses efforts to improve traffic signal coordination through implementation of machine vision processing technology in Colorado Springs. Efforts are underway to interconnect the city's 480 signalized intersections with a central master computer that can remotely program and monitor signal functions. This is accompanied by a network of intelligent variable message signs along a major nearby interstate corridor (I-25). It also uses a system of programmable signs along potential detour routes. Machine vision detectors use black and white video images in place of in-pavement wire sensors. Advantages are ease of repair and replacement and programmability from remote locations. Issues remaining are the quantifiable benefits of smoother travel because of adjustments made by drivers in response to the new information and adjustments of signal timing. A system for prioritizing intersections has been set up, starting with intersections where current wire sensors have failed, followed by highest-volume intersections. $6 million in city and federal money is budgeted. Contact information provided.<p />",
language="",
issn="0092-4873",
doi="",
url="http://dx.doi.org/"
}