Title of article :
Identifying at Highway-Rail Grade Crossing Hotspots in Canada
Author/Authors :
Saccomanno, F.F Department of Civil and Environmental Engineering - University of Waterloo, Waterloo, Canada
Pages :
8
From page :
21
To page :
28
Abstract :
This research presents a risk-based Hotspots identification model at highway-rail grade crossings in Canada. Two sets of models were developed to predict collision frequency and consequence at individual crossings. A two–dimensional graphic approach was adopted to combine these two models together to predict the risk at each crossing. Hotspots based on collision history tended to be widespread in Canada, while the Hotspot list based on model prediction tended to cluster in the Prairie Region of the country for frequency and the eastern provinces of Ontario and Quebec for consequence. Most Hotspots identified based on collision frequency are located in urban areas with high AADT, while the Hotspots by collision consequence are mostly located in rural areas with high train speed.
Keywords :
Grade crossing , Hotspot identification , Collision frequency prediction , 2D graphic approach , High train speed
Journal title :
Astroparticle Physics
Serial Year :
2019
Record number :
2469534
Link To Document :
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