Lead Supervisor: Dani Arribas-Bel (University of Liverpool)
Contact Email: D.Arribas-Bel@liverpool.ac.uk
Partners: University of Liverpool
External Partners: Idom
Start Date: October 2018
The last few years have seen a radical increase in the amount of non-traditional data sources that can be used to enhance traffic safety. These include cameras located at intersections that can understand the traffic condition and accidents ‘identification. Leveraging the most recent technologies and algorithms, including AI, this project will explore how different types of data from this source (eg. images, video and live streams) can be used to explore, analyze and, even better, predict the probability for new incidents and accidents to occur.
Reference number LV22a