The University of Melbourne and Cubic Transportation Systems have partnered to test how an artificial intelligence camera can be used to improve road user safety and traffic management.
As part of the project, seven cameras will be installed at various intersections along Melbourne’s Rathdowne Street, which is part of the Australian Integrated Multimodal Ecosystem (AIMES).
AIMES, which is led by the University of Melbourne, was established in 2016 to live-test various transport technology on the streets of Melbourne in a bid to deliver safer and sustainable urban transport outcomes.
The Gridsmart cameras, develop by Cubic, uses real-time computer vision to track and identify between different road users — including cars, motorbikes, cyclists, and pedestrians — while they pass into and through intersections.
According to AIMES director at the University of Melbourne Majid Sarvi, being able to detect the different road users, especially “vulnerable” road users such