Join Ontario's Premier Road Safety Education Event

This comprehensive 4-day program begins with a full-day Safe System Principles conference attended by all participants, followed by three intensive days of specialized Traffic Safety Analytics training. You'll discover how data-driven decision making is a cornerstone of the Safe System approach—transforming collision data into actionable insights that prevent crashes and save lives.

Course Description

Traffic Safety Analytics is the systematic process of collecting, analyzing, and interpreting collision and traffic data to identify safety problems and develop evidence-based solutions. This approach moves beyond reactive responses to individual crashes, instead using comprehensive data analysis to identify patterns, prioritize high-risk locations, and implement targeted countermeasures. Traffic Safety Analytics is essential for municipalities seeking to make informed, strategic decisions that maximize safety improvements while optimizing resource allocation.

Day 1: Safe System Principles Conference (All Participants)

Learn the foundational principles that guide modern road safety thinking. Understand how Traffic Safety Analytics fits within the broader Safe System framework and contributes to Vision Zero goals.

Days 2-4: Traffic Safety Analytics Training

This three-day training program will teach practitioners how to turn collision data into safer communities through systematic analysis and evidence-based decision making. The course demonstrates how municipalities can learn from transportation system failures by properly collecting and analyzing collision data, identifying high-risk locations through network screening, and conducting road safety reviews/audits. Participants will learn to make data-driven decisions to implement effective safety countermeasures and monitor their impact over time.

Course Content

• Introduction to road safety principles and how municipal road systems fail
• Collision data collection, management, and quality considerations
• Network screening methods to identify and prioritize high-risk locations
• Road safety reviews/audits and field investigation techniques
• Selection of evidence-based countermeasures and safety treatments
• Vision Zero principles and strategic road safety planning
• Case studies of infrastructure failures and municipal success stories

The interactive program combines theory, practical exercises, and real-world case studies.

Who Should Attend

• Engineers, technicians, and municipal staff involved in transportation planning
• Traffic safety professionals and road maintenance personnel
• Consultants working on roadway safety analysis and improvement
• Government agency staff responsible for road safety programs

Requirements

Participants are encouraged to bring the following:

• An Internet-connected device (tablet, laptop, or smartphone) for participating in course polls, using the Slido app. The polls can be accessed through the Slido app or a browser - no registration required.
• Basic understanding of transportation engineering principles or municipal road operations
• Familiarity with collision data or traffic safety concepts is helpful but not required

Evaluation Process

Your grade will be calculated as follows:

• In-class group project: 50%
• Final online test (50 multiple-choice questions): 50%

Participants must achieve a minimum score of 70% to pass.

The group project will be assigned on the third day of the course (before lunch), with each group working together in class to prepare a short presentation. The instructor will be available to assist groups, and presentations will be delivered on the third day (after lunch). The final test will be taken online at home within 48 hours of course completion. It will take 120 minutes.

Participants will receive a certificate of completion upon passing the course.

What's Included

Registration includes the full 4-day program: Day 1 Safe System Principles conference, 3-day Traffic Safety Analytics course, continental breakfast, lunch, and refreshments each day.