Connected vehicle data could help road safety decision-making
Connected vehicle data could help local authorities identify emerging road safety risks before serious collisions occur, according to the findings of a pilot carried out thanks to funding from The Road Safety Trust.
The ‘From Prediction to Prevention’ project brought together Leeds City Council, AISIN RoadTrace, Citisense and Metis Consultants to explore how connected vehicle data, AI-powered video analysis and road safety engineering could be combined to support earlier decision-making.
The pilot examined whether connected vehicle data could identify locations where drivers were repeatedly experiencing difficulty. The approach was then independently tested using temporary AI camera technology, with road safety engineers assessing the findings and considering potential interventions.
Wesley Bateson, UK and Ireland lead for AISIN RoadTrace, said in an interview with The Road Safety Trust, the project was prompted by a fundamental question: “Why should we have to wait?” for people to be killed or seriously injured before action is taken at a location.
The pilot explored whether anonymised data could identify locations where drivers were repeatedly braking harshly, encountering unexpected hazards or behaving in ways that indicated elevated risk.
“Today’s vehicles generate an enormous amount of information about how they are being driven and how drivers interact with the road network every single day,” Bateson said.
“If that anonymised connected vehicle data can tell us where drivers are repeatedly braking harshly, encountering unexpected hazards or behaving in ways that indicate elevated risk, shouldn’t we be exploring whether it can help us intervene before a serious collision occurs rather than afterwards?”
You can read the full Q&A visit The Road Safety Trust website via the link below:
