On the road towards reducing the risk of crashes, there are ADAS and AV technologies focused on the vehicle and telematics systems focused on the driver. But there’s a blind spot; the “dynamic context” – external factors such as road layout, weather, time of day and others – yet to receive enough emphasis.
New ITS (UK) member, the London based Predina, is the new upcoming leader focusing on dynamically predicting and reducing the contextual/spatial risk of crashes using AI for the automotive tech and insurance telematics sector. It has built a cloud-based spatial risk platform (STARI: Spatio-Temporal Accident Risk Intelligence) that learns from historical crashes and contextual/spatial variables to predict “where” and “when” a crash is likely to happen – dynamically and in real time.
STARI has been validated through a project with UK’s Digital Catapult and an enterprise fleet. In early results, the project demonstrated over 80% accuracy of crash predictions, reduced crashes by over 25% and increased awareness of risk among drivers by 100%. The company was also one of very few deep tech companies supported by Google through its Machine Learning for Good programme.
STARI provides dynamic hotspots, the real time and historic risk of crashes for a specific route, the safest route from A to B and driver risk alerts/warnings.
The cloud-based platform works dynamically, without hardware, installations or cameras, but rather it learns from a history of crashes and the external conditions (weather, traffic, time, visibility) to make a future prediction on “where” (spatio) and “when” (temporal) it is likely to happen again.
The solution is easily integrated either via an API into any digital application or via a white labelled navigation mobile application. Currently, Predina is developing a consumer app that will help drivers plan their journey to minimise crash “hot-spots” or to warn them as they enter higher risk areas.
Bola Adegbulu, co-founder of Predina, says that the next stages are integrations and partnerships with vehicle OEMs, ADAS and AV mapping providers, telematics insurers and navigation providers. Predina is already in advanced conversations with leaders across this category and will announce partnerships shortly.
Longer term, the platform can be integrated with the decision-making engine within the vehicle to dynamically alert the driver to a high risk area and automatically reduce its speed in these areas in real time. Equally, the solution can be enhanced and customised through a history of autonomous vehicle incidents to provide a spatial understanding of risk on the roads and identify the lowest risk route.
Predina has developed the platform to easily communicate the information in a user-friendly and accessible way via audio, satnav, mobile applications, web and pdf.
Predina has recently become a member of ITS (UK).
Bola Adegbulu will be speaking at Automotive World M:bility California, San Jose 17-18 September 2019 https://www.automotiveworld.com/conferences/mbility-california/
and TU Automotive West Coast, San Jose 2-3 October 2019