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
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