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Personal details

Name
Professor Andry Rakotonirainy
Position(s)
Centre Director, CARRS-Q and Professor
Faculty of Health,
School - Psychology and Counselling,
Research - CARRSQ
Principal Research Fellow
Faculty of Health,
School - Psychology and Counselling,
Research - CARRSQ
IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Health Projects,
IHBI Psych and Counc - IPTM
Discipline *
Distributed Computing, Other Psychology and Cognitive Sciences
Phone
+61 7 3138 4683
Fax
+61 7 3138 7532
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
Twitter LinkedIn
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.
  • Research Professor in Intelligent Transport Systems and Human factors.
  • Member of Institute of Health and Biomedical Innovation (IHBI) – Injury Prevention and Rehabilitation Domain at QUT; Faculty of Health
Keywords

Intelligent Transport Systems, Pervasive computing, road safety

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

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 20 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 240 internationally refereed papers in prestigious journals and conferences. The impact of his research is significant, with one paper cited 889 times (3,709 citations in total), and he has an h-index of 25. He has been awarded 10 Australian Research Council (ARC) grants, serves on international conference and journal committees, and reviews internationally competitive grants.

Professor Rakotonirainy’s 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 the lead researcher on two projects as part of CAVI initiative on Automated and Cooperative Vehicles.

  1. A large-scale pilot project validating the effectiveness of emerging cooperative vehicle technologies with Queensland’s Department of Transport and Main Roads (TMR),  iMOVE CRC and QUT. The pilot will involve around 500 private and fleet vehicles retrofitted with Cooperative-ITS devices. The large-scale, 3.5 year project will commence with the design and equipment-testing phase, culminating in a 9 month on-road trial in Ipswich, Queensland in late 2019.
  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.
This information has been contributed by Professor Andry Rakotonirainy.

Teaching

Research intensive Professor

This information has been contributed by Professor Andry Rakotonirainy.

Experience

  • International experience in Intelligent Transport System (ITS) and human factors research (10 ARC grants, over 240  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.
This information has been contributed by Professor Andry Rakotonirainy.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

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
Title
A unique driver assessment tool to improve four wheel drive and sedan driving competencies
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP0669606
Start year
2006
Keywords
Road Safety; Intelligent Transport Systems; Driver Training;
Title
Ubiquitous Data Mining and Situation Awareness for Improving Road Safety
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP0560865
Start year
2005
Keywords
Road Safety; Ubiquitous Data Mining

Supervision

Current supervisions

  • Design and develop a predictive-interaction-aware crash risk assessment system
    PhD, Principal Supervisor
    Other supervisors: Dr Andy Bond
  • Augmented Reality to Improve Fallback-Readiness in Conditional Automated Vehicles
    PhD, Associate Supervisor
    Other supervisors: Dr 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
  • Smartphone Apps and Virtual Reality as Road Safety Interventions: Examining their Real World Effects for Young Drivers
    PhD, Associate Supervisor
    Other supervisors: Dr Ronald Schroeter, Dr Melanie White
  • An Explanatory Model for Quantification of Road Safety Barrier Impact Risk
    PhD, Associate Supervisor
    Other supervisors: Emeritus Professor Rod Troutbeck

Completed supervisions (Doctorate)

Completed supervisions (Masters by Research)