InfraIQArticle
Identifying Black Spots: A Data-Driven Approach to High-Risk Locations
Combining infrastructure-condition data with crash records for faster, more complete high-risk-location analysis.
Black-spot identification traditionally depends on historical crash-frequency data, which takes years to accumulate and often arrives too late to prevent the next incident. Pairing infrastructure-condition data (defects, missing signage, poor markings) with available crash records gives authorities a faster, more complete picture of where risk concentrates — and RoadSense is built to ingest crash-frequency data as it becomes available, correlating it against condition findings.
