Professor Andry Rakotonirainy is the Director of CARRS-Q and founder of its Intelligent Transport Systems human factors research program, establishing its Advanced Driving Simulator laboratory. With 25 years research and management experience in computer science, he brings advanced expertise in road safety and ITS design and implementation. He is  a member of the Australian Research Council (ARC) College of Experts and is a regular member of EU funded projects’ advisory boards. He has authored over 300 internationally refereed papers in prestigious journals and conferences. The impact of his research is significant, with one paper cited 1034 times (5200 citations in total), and he has an h-index of 34. He has been awarded 11 Australian Research Council (ARC) grants, serves on international conference and journal committees, and reviews internationally competitive grants.

Professor Rakotonirainy’s Intelligent Transport Systems (ITS) research has been recognised both nationally and internationally. He has proactively investigated the use of existing and emerging ITS from multiple disciplines such as computer science, mathematics, human factors, engineering, psychology and sociology. His research has made extensive use of driving simulators, traffic simulators and instrumented vehicles for developing system prototypes, assessing cost-benefits, understanding human errors and evaluating system deployment. He has been successful in securing numerous competitive grants and has established partnerships with many road safety stakeholders. Presently, he is involved in a€6,4 million EU funded (Horizon 2020) project called Levitate led by Loughborough University on ‘Societal Level Impacts of Connected and Automated Vehicles’. He is also the lead researcher on two projects as part of CAVI initiative on Automated and Cooperative Vehicles.

1. A large-scale pilot project validating the safety effectiveness of emerging cooperative vehicle technologies with Queensland’s Department of Transport and Main Roads (TMR),  iMOVE CRC and QUT.
2. Use of a small passenger  automated vehicle (SAE level 4) to study human factor related issues with Queensland’s Department of Transport and Main Roads (TMR),  iMOVE CRC and QUT.