Vehicle telemetry identifies high risk road locations before crashes occur

Cars are increasingly acting as early warning sensors for dangerous roads. Researchers in Australia analyzed driving information from 700,000 connected vehicles over a 20 month period, looking specifically for sudden braking and violent steering manoeuvres. The study, led by researcher Simona Mihaita from the University of Technology Sydney and reported by New Scientist, revealed that these close calls cluster in specific locations, mapping closely to known accident zones while also highlighting neglected stretches of road.

Traditionally, urban planners fix dangerous intersections only after several serious or fatal collisions occur. By using real-time car sensors to flag near misses before an actual crash takes place, cities could fix bad signage, adjust traffic light timing, or lower speed limits ahead of time. For everyday commuters, this shift from reactive repairs to predictive road design could prevent everyday driving hazards from turning into life-threatening accidents.

However, converting raw vehicle data into reliable city upgrades presents challenges. As RMIT University researcher Nirajan Shiwakoti pointed out to New Scientist, a sudden slam on the brakes does not always signal poor road design, since a driver might just be stopping for a crossing pedestrian or a temporary obstacle. Furthermore, a broader question remains about whether local governments have the technical capacity and budget to process massive streams of private car data quickly enough to make a practical difference on the ground.