Modelling impact of traffic disruptions by using integrated Deep Learning and transport simulation - Artur Grigorev

Project Member(s): Chen, F., Mihaita, A.

Funding or Partner Organisation: iMOVE Australia Limited (iMOVE CRC)
iMOVE Australia Limited (iMOVE CRC)

Start year: 2020

Summary: This PhD project will focus on the complex problem of predicting the impact of traffic disruptions in large cities using advanced artificial intelligence algorithms and evaluating the best response plan that traffic authorities can make by synergizing traffic simulation modelling of various response scenarios.

FOR Codes: Transport Engineering, Software Engineering, Road Infrastructure and Networks, Computer Software and Services not elsewhere classified, Empirical software engineering, Information systems, technologies and services 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.