Bradford Council Uses AI and Connected Vehicle Data to Predict and Prevent Collisions

Bradford Council is leveraging AI-driven insights from connected vehicle data to predict and prevent collisions before they occur.

RoadTrace, the connected vehicle data division of Aisin, developed the KSI prediction modeling technology, according to Road Safety GB.

“The potential of connected vehicle data to transform road safety is enormous,” said a spokesperson from RoadTrace. “Our KSI prediction model not only identifies high-risk situations but also provides actionable insights that local authorities can use to prevent accidents before they happen.”

The system analyzes and enhances connected vehicle data to guide decision-making across a wide range of highway functions, including safety, planning, maintenance, and asset management.

This initiative is being hailed as a significant advancement for the West Yorkshire Vision Zero partnership and Bradford’s Vision Zero Implementation Strategy, highlighting how local highway authorities are increasingly using advanced connected vehicle data.

A spokesperson for Bradford Council commented:“RoadTrace offers enriched data and predictive insights that go well beyond basic datasets, providing a unified evidence base for all areas of our highways operations to make more informed decisions. With Aisin’s support and integration into our systems, Bradford is at the forefront of using data to enhance safety, planning, and asset management.”

The partnership comes after a successful project with Calderdale Council, the first local authority in the area to collaborate with RoadTrace. “Our work with Calderdale paved the way, showing what is possible when councils embrace connected vehicle technology,” added the Bradford Council spokesperson.