Professor Andry Rakotonirainy
Faculty of Health,
School of Psychology & Counselling
Biography
Professor Andry Rakotonirainy is a renowned expert in the field of road safety and Intelligent Transport Systems (ITS) - Human factors, with 25 years of experience in multidisciplinary research leadership and management. He is a member of CARRS-Q/Centre for Future Mobility and the founder of its ITS human factors research program, he has established a comprehensive reputation in the industry and academia, having been awarded over $51 million in multidisciplinary research grants during his career at QUT. He has a PhD in computer science from INRIA and Sorbonne University (France). He has been a member of the Australian Research Council (ARC) College of Experts, governments/industry committees and EU-funded projects' advisory boards.
His extensive research portfolio includes over 300 internationally refereed papers in prestigious journals and conferences, with one pioneering paper on context having been cited 1080 times. He has an h-index of 44 and has been awarded 14 Australian Research Council (ARC DP, LIEF, LP, ITTC) competitive grants. He serves on international conference and journal committees and reviews internationally competitive grants.
Professor Rakotonirainy's ITS research has been recognized internationally, and 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 to improve road safety. He has extensively used driving simulators, traffic simulators and instrumented vehicles for developing system prototypes, cost-benefit analysis, machine learning methods and psychological theories to understand, predict and assess human behaviour.
He has been involved in a €6.4 million EU-funded (Horizon 2020) project called Levitate, led by Loughborough University, which focuses on the societal-level impact of connected and automated vehicles. He helped to establish a new “International Centre for Connected and Automated Mobility” (ICCAM) bilateral research laboratory without wall with Université Gustave Eiffel.
He is also the lead researcher on projects as part of Queensland's Department of Transport, CAVI - iMOVE CRC initiative on safety and effectiveness of emerging Automated and Cooperative Vehicles, ARC Discovery grant on AI Explainability and digital twins for AVs.
Professor Rakotonirainy's expertise and leadership in the field of ITS research make him a highly competitive figure in academia and industry.
Personal details
Positions
- Principal Research Fellow
Faculty of Health,
School of Psychology & Counselling
Keywords
Intelligent Transport Systems, Pervasive computing, road safety
Research field
Distributed computing and systems software, Other psychology
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD in Computer Science (Universite de Paris VI)
Professional memberships and associations
- PhD in 1995 from Universite Pierre Marie Curie (Paris 6) and French National Institute in Computer Science (INRIA).
- Former director CARRS-Q - Centre for Future Mobility - School of Psychology - Faculty of Health
- Research Professor in Intelligent Transport Systems and Human factors.
- Member of the Australian Research Council (ARC) College of Experts (2019-21)
- Member of ARC Medical Research Advisory Group (2022)
- Chair of Queensland Department of Transport Community Road Safety Education Grants Selection (2019-2022)
- Member of Queensland Department of Transport Black Spot Consultative Panel and Safer Roads Sooner (2019-2022)
- Member of the QUT Strategic Major Equipment Program (SMEP) Committee (2021-2022)
- Member of Transurban Connected & Automated Vehicle (CAV) Stakeholder Reference Group(2019)
- Member of the International Advisory group of
- European Project (FP7) on Integrated Human Modelling and Simulation (ISI-PADAS) (2010-2012).
- European Project (FP7) HoliDes addresses qualification development and qualification of Adaptive Cooperative Human-Machine Systems where many humans and many machines act together, cooperatively, in a highly adaptive way.
- EU H2020 project on Automation as accepted and trusted TeamMate to enhance traffic safety and efficiency (AutoMate) (2016-18).
Teaching
Research Professor
Experience
- International experience in Intelligent Transport System (ITS) and human factors research (14 ARC grants, over 300 publications.
- Average research income of $4 Million dollars per year for the last five years
- Developed an extensive research network with industries, government bodies and international researchers in road safety
Publications
- Ghasemi Dehkordi, S., Larue, G., Cholette, M., Rakotonirainy, A. & Rakha, H. (2019). Ecological and safe driving: A model predictive control approach considering spatial and temporal constraints. Transportation Research Part D: Transport and Environment, 67, 208–222. https://eprints.qut.edu.au/123618
- Li, X., Oviedo Trespalacios, O., Rakotonirainy, A. & Yan, X. (2019). Collision risk management of cognitively distracted drivers in a car-following situation. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 288–298. https://eprints.qut.edu.au/123342
- Vaezipour, A., Rakotonirainy, A., Haworth, N. & Delhomme, P. (2019). A simulator study of the effect of incentive on adoption and effectiveness of an in-vehicle human machine interface. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 383–398. https://eprints.qut.edu.au/122980
- Li, X., Vaezipour, A., Rakotonirainy, A. & Demmel, S. (2019). Effects of an in-vehicle eco-safe driving system on drivers' glance behaviour. Accident Analysis and Prevention, 122, 143–152. https://eprints.qut.edu.au/123344
- Rastgoo, M., Nakisa, B., Rakotonirainy, A., Chandran, V. & Tjondronegoro, D. (2018). A critical review of proactive detection of driver stress levels based on multimodal measurements. ACM Computing Surveys, 51(5), 1–35. https://eprints.qut.edu.au/121239
- Vaezipour, A., Rakotonirainy, A., Haworth, N. & Delhomme, P. (2018). A simulator evaluation of in-vehicle human machine interfaces for eco-safe driving. Transportation Research, Part A: Policy and Practice, 118, 696–713. https://eprints.qut.edu.au/122983
- Li, X., Rakotonirainy, A., Yan, X. & Zhang, Y. (2018). Driver's visual performance in rear-end collision avoidance process under the influence of cell phone use. Transportation Research Record, 2672(37), 55–63. https://eprints.qut.edu.au/123348
- Nakisa, B., Rastgoo, M., Rakotonirainy, A., Maire, F. & Chandran, V. (2018). Long short term memory hyperparameter optimization for a neural network based emotion recognition framework. IEEE Access, 6, 49325–49338. https://eprints.qut.edu.au/122082
- Larue, G., Wullems, C., Sheldrake, M. & Rakotonirainy, A. (2018). Validation of a driving simulator study on driver behaviour at passive rail level crossings. Human Factors, 60(6), 743–754. https://eprints.qut.edu.au/223890
- Ghasemi Dehkordi, S., Larue, G., Cholette, M. & Rakotonirainy, A. (2018). Benefit assessment of new ecological and safe driving algorithm using naturalistic driving data. Proceedings of the 29th IEEE Intelligent Vehicles Symposium, 1931–1936. https://eprints.qut.edu.au/118446
QUT ePrints
For more publications by Andry, explore their research in QUT ePrints (our digital repository).
Selected research projects
- Title
- Intention-Aware Cooperative Driving Behaviour Model for Automated Vehicles
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP180103491
- Start year
- 2018
- Keywords
- Title
- Understanding impact of autonomous vehicles on behaviour and interactions
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP160101021
- Start year
- 2017
- Keywords
- Title
- Engaging Augmented Reality on 3D Head Up Displays to Reduce Risky Driving
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP150100979
- Start year
- 2016
- Keywords
- Title
- CoopEcoSafe: a new cooperative, green and safe driving system
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP140102895
- Start year
- 2014
- Keywords
- eco-driving; road safety; driver behavior
- Title
- The Australian naturalistic driving study: innovation in road safety research and policy
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP130100270
- Start year
- 2014
- Keywords
- Road Safety; Naturalistic Driving Study; Driver Behaviour
- Title
- Integrating Technological and Organisational Approaches to Enhance the Safety of Roadworkers
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP100200038
- Start year
- 2011
- Keywords
- Roadworker Safety; Road Construction Site Safety; Safety Culture; Workplace Health and Safety; Road Safety Policy; Speeding
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Looking for a postgraduate research supervisor?
I am currently accepting research students for Honours, Masters and PhD study.
You can browse existing student topics offered by QUT or propose your own topic.
Completed supervisions (Doctorate)
- Building an Augmented Map for Road Risk Assessment (2013)
- An assessment system for evaluation of driving competencies (2011)
- An examination of monotony and hypovigilance, independent of fatigue: Relevance to road safety (2011)
- Mining Patterns and Factors Contributing to Crash Severity on Road Curves (2010)
- Predicting effects of monotony on driver's vigilance (2010)
- Reducing Uncertainty in New Product Development (2009)
Completed supervisions (Masters by Research)
The supervisions listed above are only a selection.