This informative webinar showcased how harsh braking clusters can be used to detect high-risk spots that are dangerous for road users.
Webinar Overview:
The webinar, delivered in collaboration with RoadTrace™, compared the road collision prediction performance level of two analyses: the first one is conducted based on historical road collisions and the other is based on harsh braking data only.
Aisin quantified the benefits in terms of accuracy and speed when it comes to predicting future collisions on a large-scale road network using real data from fleets of connected vehicles. In addition, Aisin demonstrated that harsh braking clusters enable them to detect precise spots that are dangerous for road users.
Learning Outcomes:
Aisin provided an insight into the study which demonstrates that clusters of harsh braking events:
- Bring comparatively more information than past collisions (22% conversion rate vs 6% with 5 years of KSI data).
- Enable an improvement of 22% in prediction rate compared to an equivalent number of historical crash locations.
- Allow much quicker detection of future collisions.
- Enabled us to detect collisions that could not be predicted even using 5 years of historical road crash data.
This research demonstrates that road safety engineers and managers now have access to superior tools to enhance road infrastructure and make more informed, risk-based decisions.