Making Brantford safer: a data-driven road risk assessment

How brantford took a data-driven approach to ranking high-risk roadways

Overview

To meet its road safety goals, the City of Brantford partnered with SMATS to adopt a data-driven approach for identifying high-risk road segments. Using SMATS’ iNode platform and Floating Car Data, the City gathered key traffic metrics—like 85th percentile speeds and AADT—without installing physical sensors.

Covering over 1,400 km of roads, the project produced a ranked map of road risk scores, prioritized top-risk corridors, and objectively assessed proposed Community Safety Zones. The result is a scalable, centralized platform that now powers Brantford’s proactive traffic safety planning and monitoring.

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