The Future Mobility lab (FMlab) in University of Technology Sydney is part of a new Data Science Institute launched in January 2019 by the University of Technology in Sydney under the Faculty of Engineering and IT. The research lab is focusing on developing advanced data driven models for solving some burning real-world problems such as traffic congestion, smart city liveability, mobility fluidity, and transitioning towards new emerging transport modes such as connected and autonomous vehicles, on-demand transport, vehicle-to-vehicle and vehicle-to-infrastructure communications.

The research areas that the lab is working on are spanning from:

• Origin-to-destination demand estimation and prediction
• Traffic simulation and optimization using machine learning and artificial intelligence,
• Incident management - prediction and response plan evaluation,
• Traffic control optimisation using genetic algorithms,
• Public transport assignment,
• Train and bus delay performance evaluation,
• Large scale visualisation platforms for both real-time traffic management or data analytics,
• Congestion prediction using deep learning and graph modelling
• Air quality and pollution investigation through data science.

The research scientists in this group are using advanced machine learning and smart algorithms to model and improve transport networks, and maximise operational performance. For various planning purposes, the group builds simulation models to analyse the impact of traffic disruptions, signal control changes, etc.

With a strong background in transport modelling and artificial intelligence, the UTS Mobility lab aims to:

• Become a distinguished lab In Australia and a world leading lab in solving transport and smart cities problems,
• Attract world class researchers and international media attention
• Build international reputation and collaboration among top universities such as the Australian National University, University of Technology in Singapore, National University of Singapore, Swinburne University of Technology, University of Lorraine, etc.
• Contribute to the UTS research reputation and publish top-notch research work
• Contribute to scientific and engineering innovations for industries to advance mobility, liveability and interconnectivity for a better living in a smart city environment.