Professor Andry Rakotonirainy
Faculty of Health,
School of Psychology & Counselling
Biography
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 1050 times (5830 citations in total), and he has an h-index of 36. He has been awarded 13 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 projects as part of CAVI - iMOVE CRC initiative on Automated and Cooperative Vehicles, ARC grants on eXplainability and digital twins for AVs.- 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.
- 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.
- Automated Vehicles and Advanced Driving Assistance Systems for Older Drivers iMOVE CRC, Dpt of Infrastructure, Transport and Regional Development and Communications - QUT - UNSW (Wood, Rakotonirainy, Black, Anstey)
Personal details
Positions
- Principal Research Fellow
Faculty of Health,
School of Psychology & Counselling- Kelvin Grove Q Block Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Health Projects - Kelvin Grove Q Block Membership
Keywords
Intelligent Transport Systems, Pervasive computing, road safety
Discipline
Distributed Computing, Other Psychology and Cognitive Science
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
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).
- 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 intensive Professor
Experience
- International experience in Intelligent Transport System (ITS) and human factors research (13 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.
Selected 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, pp. 208-222.
- 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, pp. 288-298.
- 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, pp. 383-398.
- 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, pp. 143-152.
- Nakisa B, Rakotonirainy A, Chandran V, Tjondronegoro D, Rastgoo M, (2018) A critical review of proactive detection of driver stress levels based on multimodal measurements, ACM Computing Surveys, 51 (5), pp. 1-35.
- 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, pp. 696-713.
- 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), pp. 55-63.
- 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, pp. 49325-49338.
- 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), pp. 743-754.
- 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, pp. 1931-1936.
QUT ePrints
For more publications by Andry, explore their research in QUT ePrints (our digital repository).
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
Supervision
Current supervisions
- Design and develop a predictive-interaction-aware crash risk assessment system
PhD, Principal Supervisor
Other supervisors: Dr Andy Bond - Attention Management to Improve Fallback-Readiness in Conditional Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Associate Professor Ronald Schroeter, Professor Daniel Johnson - How Intended Pathway Information Shared via an Augmented Reality HUD Can Assist in Semi-Automated Driving
PhD, Principal Supervisor
Other supervisors: Dr Sherrie-Anne Kaye
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)