Transport Technologies at the University of Melbourne is a leading interdisciplinary research and education group serving industry, government, and the public. We are based at the Melbourne School of Engineering.
We recognise that the next important opportunity and challenge will present itself through the availability of live data, low-priced technology and connectivity of transport system to travellers. There will be soon over 3 billion people with connected devices and more than 210 billion sensors out there that will provide a once-in-generation opportunity to tackle issues of complex transport and urban mobility for modern cities. At Transport Technologies we have aligned our research focus and efforts to take advantage of this new leap in mobility, opportunity to change the way we travel, create sustainable transport, and work toward more livable cities. Transport Technologies is focused on contemporary topics in transportation engineering including connected vehicle and roadways, autonomous vehicle, connected public transport and city logistics, connected travellers and smart stations.
Australian Integrated Multimodal EcoSystem (AIMES)
Intelligent transport technology for smart cities
The Australian Integrated Multimodal EcoSystem (AIMES) is a world-first living laboratory based on the streets of Melbourne. AIMES was established in 2016 to test highly integrated transport technology with a goal to deliver safer, cleaner and more sustainable urban transport outcomes.
The University of Melbourne’s Transport Technologies research group is taking a leading role in testing and implementation, working closely with government and leading local and international industry sectors via the AIMES partnership.
An effective transport system is essential to the liveability of a city and a key driver of competition in the global marketplace. With current transport infrastructure under stress, the AIMES ecosystem provides a unique platform for collaborative trials of technology which integrates the movement of all road users (people and vehicles) with transport infrastructure.
Central to AIMES is the network of smart sensors connecting all parts of the transport environment within a six square kilometre grid on the streets of inner-city Carlton, Melbourne. AIMES will deliver ‘multimodal’ transport — connected vehicles, connected public transport, connected pedestrians and cyclists and smart public transport stations.
Crowd dynamics modelling and simulations
Pedestrian crowd safety is an important matter as there have been numerous incidents in which crowd panic has resulted in severe injuries and death.
Multimodal large transport network modelling and optimisation
This research focuses on multimodal transport network modelling, transport network optimisation, and land use and transport interaction modelling.
Road network resilience
Transport infrastructure is one of the seven types of nationally significant critical infrastructure identified by the Federal government to ensure the continuity of essential services in the face of extreme events including terrorist attacks and natural disasters.
Transport network space optimisation
In facing up to traffic congestion, capital intensive and time consuming schemes, such as road construction, must be viewed as a last option.
Autonomous vehicle navigation
Autonomous vehicles are fast becoming a reality. The pace of developments in the industry is unprecedented.
Road network recovery
In the aftermath of man-made or natural disasters the movement of both people and goods is disrupted, which significantly jeopardises the performance of society and the economy.
Freight and city logistics (supply chain)
The Centre of Excellence in Sustainable Urban Freight Systems at the University of Melbourne is supported by the Volvo Research and Educational Foundation. The Centre focuses on conducting multi-disciplinary research and training on urban freight systems.
Congestion pricing (or toll road in short) have been and continued to be a hotly debated topic in academic and industry circles.
Intelligent disaster decision support system
The Intelligent Disaster Decision Support System is a project supported by the Australian Government through the Victorian Department of Justice Natural Disaster Resilience Grant Scheme.
Human behaviour in exit choice and way finding
Humans’ navigation and way-finding is a complex problem that is being mediated and moderated by many effects, such as memory; social influence; people’s internal and personal tendencies; and even emotional states.
ICT, IoT and sensor technologies for intelligent transport systems
Sensing technologies are an essential component of intelligent transport systems.
- Gary Liddle AO, Enterprise Professor, Transport
- Assoc Prof Russell Thompson, Academic, Infrastructure Engineering
- Prof Chris Manzie, Academic, Electrical Engineering
- Prof Stephan Winter, Discipline Leader, Geomatics, Infrastructure Engineering
- Prof Mark Stevenson, Academic, Architecture, Building and Planning, Melbourne School of Population and Global Health
- Prof Abbas Rajabifard, Head of Infrastructure Engineering, The University of Melbourne
- Dr Kourosh Khoshelham, Lecturer, Infrastructure Engineering
- Dr Lihai Zhang, Academic, Infrastructure Engineering
- Dr Mahdi Miri Disfani, Lecturer in Geotechnical Engineering, Infrastructure Engineering
- Dr Neema Nassir, Associate Professor and Lecturer, Transport Engineering
- Dr Patricia Sauri Lavieri, , Lecturer, Transport Engineering
- Dr Behzad Rismanchi, Lecturer, IoT and Environmental Monitoring, Infrastructure Engineering
- Dr Benny (Yiqun) Chen, Research Fellow, Infrastructure Engineering
- Dr Saeed Asad, Research Fellow, Infrastructure Engineering