Analysis of Crash Data in Abu Dhabi with In-depth Investigation on Pedestrian and Tailgating Accidents
The project was contracted under KEO s sub-consultancy for the Integrated Transport Center (ITC) as part of Consulting Engineering Design Services for Road Projects (Studies, Feasibility and Concept Design Services). The overall aim of this work package is to Identify and assess key risk factors contributing to road fatalities and serious injuries through actual data (i.e., from current road crash databases and lively recorded videos installed in selected locations for this project), as well as from the road users perceptions point of view (i.e., through questionnaire surveys).
Using police crash data, surveys, and novel intersection cameras that uses computer vision techniques, this work-package analyses critical road safety issues in the Emirate of Abu Dhabi through five tasks: (1) road trauma report, (2) pedestrian priority behavioral study, (3) tailgating behavioral study, (4) road safety monitor survey, and (5) proactive traffic safety assessment based on traffic conflicts.
Numerous methodologies were used to achieve the objectives of these studies including:
- Statistical techniques (i.e. Analysis of Variance (ANOVA) and Chi-square tests)
- Data mining techniques (i.e. Association Rules Algorithm)
- Machine learning and modelling techniques (i.e. Bayesian Belief Networks and Logistic Regression)
- Computer Vision techniques
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