Volume 6, Issue 1 (6-2019)                   IJRARE 2019, 6(1): 21-28 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Saccomanno* F. Identifying at Highway-Rail Grade Crossing Hotspots in Canada. IJRARE 2019; 6 (1) :21-28
URL: http://ijrare.iust.ac.ir/article-1-215-en.html
Department of Civil and Environmental Engineering University of Waterloo
Abstract:   (1692 Views)
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.
Full-Text [PDF 315 kb]   (919 Downloads)    
Type of Study: Research | Subject: Railway track and structures

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | International Journal of Railway Research

Designed & Developed by : Yektaweb