Intelligent Transport Systems

This research covers topics including the use of technology and information systems, design and assessment of future ITS technology and in-vehicular technologies, as well as their simulation and cost-benefit analysis. It has a strong focus on human factors aspects of technology.

We use the Safe System framework to study the road transport system holistically. Our three research axes are Connected Automated Vehicles (CAV), Human Machine Interfaces (HMI) and Behavioural Analysis. We capitalise on research progress in Internet of Things (IoT), automated/connected cars, Deep learning (AI), person’s data acquisition (Quantified Self) and ubiquitous computing to reduce behavioral uncertainties in transport.

Team members have expertise in computer science, civil engineering, psychology, sociology, HMI/HCI, design, mathematics and statistics.

Our research benefits from access to high quality facilities including an Advanced Driving Simulator, research vehicle, in-vehicle sensors and a range of analysis software and in-vehicle sensors. The team collaborates with prestigious road safety centres including IFSTTAR (LIVIC, LPC) and UMTRI as well as Stanford University and Ludwig-Maximilian University of Munich.

Contact:


Professor Andry Rakotonirainy: r.andry@qut.edu.au or +61 7 3138 4683.