The Role of Connected Vehicle Data for Enhancing Road Safety

Overview:

This webinar revisits a pioneering research project that explored the use of Harsh Braking Incidents (HBIs) from heavy goods vehicles as a predictive tool for identifying high-risk collision locations. Although the work was completed nearly a decade ago, its findings are more relevant than ever, especially in light of recent data showing that killed and serious collisions are no longer declining. The session will highlight how HBIs—captured through connected vehicle technologies—can serve as a proactive indicator of collision risk, particularly at complex junctions like roundabouts.

The presentation will also share updated findings from 2018–2023, validating the original predictions and reinforcing the value of integrating near-miss data into road safety strategies. Attendees will gain insights into the modelling techniques used, the challenges of implementation, and the practical implications for policy and infrastructure planning.

What Will Attendees Learn?

•    Why traditional collision data alone is no longer sufficient for proactive road safety.
•    How HBIs can be used as a surrogate measure to predict collision risk.
•    The methodology behind using Random Parameter NB Models to quantify risk.
•    Real-world validation of predictive models using updated collision data.
•    Practical recommendations for integrating connected vehicle data into road safety strategies.

Who Should Attend

This webinar is ideal for:

•    Road safety engineers and transport planners
•    Highway authority professionals and policymakers
•    Data analysts and researchers in transport safety
•    Fleet managers and logistics safety officers
•    Anyone interested in proactive, data-driven approaches to reducing road collisions