Publications by year
Find Andry Rakotonirainy on
PhD in Computer Science (Universite de Paris VI)
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. As the Director of CARRS-Q/Centre for Future Mobility (70-100 staff) 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 having been cited 1050 times. He has an h-index of 39 and has been awarded 13 Australian Research Council (ARC DP, LIEF, LP) competitive grants. He serves on international conference and journal committees and reviews internationally competitive grants.
Professor Rakotonirainy's ITS research has been recognized both nationally and 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.
Recently, 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.
Projects
- A human-centric eXplainable Automated Vehicle (XAV)
- An International Research Centre to study the effects of Connected and Autonomous Vehicles on Vulnerable Road-Users (ICAROS)
- Cooperative and Highly Automated Driving (CHAD) Safety Study
- DynaMix-FM, dynamic mixed reality environment for future mobility
- Engaging augmented reality on 3D Head-Up Displays to Reduce Risky Driving
- Intention-aware cooperative driving behaviour model for automated vehicles
- Ipswich Connected Vehicle Pilot (ICVP)
- LEVITATE: Societal LEVel Impacts of connecTed and AutomaTed vehiclEs
- Older drivers: Advanced driving assistance technologies and AVs
- PhD Research: Can Automated Vehicles be safer by sharing the Vehicle's Intended Pathway via an Augmented Reality Head-Up Display?
- Safety risk evaluation of the remote operation of Highly Automated Vehicles
- Unifying Traffic Modelling and Safety Management for Safer and Faster Roads
- Using crowd sourced data to improve road management
Additional information
- 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 in road safety
- 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/118534
- 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
- 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
- Attention Management to Improve Fallback-Readiness in Conditional Automated Vehicles
PhD, Associate Supervisor
Other supervisors: Professor Ronald Schroeter, Professor Daniel Johnson
- 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)