@article{ref1,
title="Measured vehicle flow parameters as predictors in road traffic accident studies",
journal="Traffic engineering and control",
year="1987",
author="Shoarian-Sattari, K and Powell, Douglas",
volume="28",
number="6",
pages="328-329",
abstract="Based on an analysis of approximately 1,300 km of road tests and a three-year detailed accident history for the route, it is shown that acceleration noise and the related parameter, mean velocity gradient, both offer useful correlations with accident risk. Mean velocity gradient calculated about the mean yielded the highest correlation coefficient. Correlation coefficients improve when averaging of data is based on larger section lengths. The optimum compromise between accuracy in the measured parameters and precision in locating areas for remedial work would appear to occur using a section length of about 50 m. The results suggest that mean velocity gradient may have useful application as an accident predictor in areas where previous accident history is unavailable or unreliable and as a tool assisting in the identification of locations where resources for accident-remedial measures can be most effectively spent.   <p>Language: en</p>",
language="en",
issn="0041-0683",
doi="",
url="http://dx.doi.org/"
}