@article{ref1,
title="A proactive approach to evaluating intersection safety using hard-braking data",
journal="Journal of big data analytics in transportation",
year="2021",
author="Hunter, Margaret and Saldivar-Carranza, Enrique and Desai, Jairaj and Mathew, Jijo K. and Li, Howell and Bullock, Darcy M.",
volume="3",
number="2",
pages="81-94",
abstract="Typical safety improvements at signalized intersections are identified and prioritized using crash data over 3-5 years. Enhanced probe data that provides date, time, heading, and location of hard-braking events has recently become available to agencies. In a typical month, over six million hard-braking events are logged in the state of Indiana. This study compared rear-end crash data over a period of 4.5 years at 8 signalized intersections with weekday hard-braking data from July 2019. Using Spearman's rank-order correlation, results indicated a strong correlation between hard-braking events and rear-end crashes occurring more than 400 ft upstream of an intersection. The paper concludes that using a month or two of hard-braking events occurring upstream from the stop bar may be a useful tool to screen potential locations with elevated rear-end crashes. Using these techniques described in this paper, new commercially available hard-braking data sources will provide an opportunity for agencies to follow up with mitigation measures addressing emerging problems much quicker than typical practices that rely on 3-5 years of crash data.<p /> <p>Language: en</p>",
language="en",
issn="2523-3556",
doi="10.1007/s42421-021-00039-y",
url="http://dx.doi.org/10.1007/s42421-021-00039-y"
}