@article{ref1,
title="Predicting annual intersection accidents with conflict opportunities",
journal="Transportation research circular",
year="2000",
author="Kaub, A and Kaub, J",
volume="",
number="501",
pages="12 p.-12 p.",
abstract="Validation and the general algorithm are presented for a conflict opportunity-based annual accident prediction software for both signalized and unsignalized intersections over a wide variety of volume, geometry, speed, signal timing and phasing, and other variables. Validation to numerous intersections indicates an average prediction accuracy of 90% compared to the historical annual reported accident average at any individual intersection.<p />",
language="",
issn="0097-8515",
doi="",
url="http://dx.doi.org/"
}