Utilizing Floating Car Data to alleviate construction-related congestion in Canada's largest city
See how floating car data is helping to ease work zone congestion created by the Eglinton LRT expansion project in Toronto, Canada
Overview
During the construction of Toronto’s Eglinton Crosstown West LRT Extension, EXP engineers relied on SMATS’ iNode platform and crowdsourced Floating Car Data to monitor and mitigate congestion without deploying physical sensors. The system enabled real-time and historical analysis across changing routes, supporting daily traffic assessments, detour evaluations, and incident alerts. This flexible, sensor-free approach helped the team respond dynamically to evolving conditions, streamline reporting, and implement targeted traffic-calming measures—ensuring stakeholder alignment, minimizing disruption, and maintaining public satisfaction throughout the project.
