Which curves are dangerous? A network-wide analysis of traffic crash and infrastructure data
Michal Bíl,
Richard Andrášik and
Jiří Sedoník
Transportation Research Part A: Policy and Practice, 2019, vol. 120, issue C, 252-260
Abstract:
We conducted spatial analyses of traffic crashes, which took place in Czechia over 2010–2016, with respect to the road geometry data. The aim of the work was to identify hazardous road sub-segments where higher than expected numbers of traffic crashes occur.
Keywords: Traffic crash; Road alignment; Hazard; Horizontal curve; Hotspot; Bayesian inference (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:120:y:2019:i:c:p:252-260
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DOI: 10.1016/j.tra.2019.01.001
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