Data-driven artificial intelligence has become an important part of modern decision-making processes, including in transportation, where the abundance of data represents a challenge for transport agencies and research scientists alike.
The objective of this Research Forum is to link government, industry and academic professionals who are interested in or delivering innovative data-driven, artificial intelligence and/or cloud-based solutions to emerging transport problems. Together, we will explore the practical use of cutting-edge technologies to deliver efficient, evidence-based transport planning for Australia.
Key questions that will be explored in the Forum include:
How can we predict traffic congestion in advance of city gridlock?
Can we predict the impact of traffic disruptions and test relevant action plans?
Can data be used to model public transport delays and optimise daily operations?
How can data and artificial intelligence guide people towards selecting optimal routes and modes for travel?
How can analysing crowd movement data assist in developing better traffic and transport management solutions?