Development of Artificial Intelligence-driven condition assessment of truck tyres- APR INTERN AGREEMENT

Project Member(s): Hussain, F.

Funding or Partner Organisation: Australian Mathematical Sciences Institute (Australian Mathematical Sciences Institute Partnership)
Australian Mathematical Sciences Institute (Australian Mathematical Sciences Institute Partnership)
TRUCKMATE AUSTRALIA PTY LIMITED
TRUCKMATE AUSTRALIA PTY LIMITED

Start year: 2021

Summary: Unpredicted Tyre blow outs on long haul Truck tyres, particularly the steer tyre is the root cause of ~9% of Truck driver fatalities on Australian roads (1). Tyre blow outs on other Truck and Trailer tyres are also a significant risk to driver safety and inconvenience with unavoidable down time for transport/logistic businesses. Current condition monitoring systems/processes appear to be limited to lag indicator “Tyre pressure” and driver visual checks. We aim to explore technologies that will provide lead indicators to monitor tyre condition and prevent unpredicted blow outs due to wear and tear through development of an early warning system. (1) Safe Work Australia “Work-Related Fatalities involving Trucks, Australia, 2003-2012.

FOR Codes: Road Safety, Artificial Intelligence and Image Processing not elsewhere classified, Graphics, augmented reality and games not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.