Real-time crash risk and its applications

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Authors: Tarek Ghoul
Cited by: 0

Abstract

Tarek Ghoul was a finalist in the 2025 UBC Three Minute Thesis (3MT) Competition. Tarek presented their research, “Real-time Crash Risk and Its Applications.” This research uses real-time data and predictive modeling to estimate crash likelihoods before they occur, allowing for proactive interventions to improve road safety. Tarek Ghoul is completing their PhD in Transportation Engineering in the Department of Civil Engineering under the supervision of Dr. Tarek Sayed.

Fields of Study & Subjects

Traffic and Road Safety Traffic control and management Traffic Prediction and Management Techniques

Publication details

Journal / source
cIRcle (University of British Columbia)
Publication date
1 January 2026
Language
EN