Over 40,000 vulnerable road users are seriously injured or killed on Australian roads every year - a figure that sadly is increasing as we encourage more people to adopt Active Transport. 

 

Representing one of the most significant advances in road monitoring technology in decades, 3D computer vision sensors are now using AI to accurately produce leading indicators of serious accidents between vehicles and cyclists, escooters, and pedestrians. 

 

Authorities can now quantify dangerous interactions at road spaces, understand the causes, plan remedial action, and validate the results; before accidents occur. 

 

The IoT sensor networks detect vehicle classes, speeds, paths, and trajectories in near real-time; both relative to the roadspace and other users.

 

Video of conflicts and near miss incidents (blurred for privacy) are captured to identify root and contributing causes. 

 

The data collected provides scientifically robust support to identify corrective action, prioritise projects, validate results, and justify costs. 

 

A.I. house VivaCity Lab’s Near-Miss capability for these sensors was released commercially in March 2023, following 4 years of intensive R&D at a cost of over GBP£10Million. Near Miss capability can be loaded remotely onto existing VivaCity sensors, of which there are over 3500 installed in the UK, Europe, Australia, New Zealand, and the US; and have captured movements of nearly 25 Billion road users since 2018. 

 

A growing number of Near Miss case studies are available for review and discussion