Associate Professor Gregoire Larue | UniSC | University of the Sunshine Coast, Queensland, Australia

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Associate Professor Gregoire Larue

PhD Qld.UT, MSc Qld., MEng ECL (France)

  • Principal Research Fellow
Email
Telephone
+61 7 5456 5918
Office location
SD-IC-G.42
Campus
Sunshine Coast
Associate Professor Gregoire Larue

Associate Professor Gregoire Larue is a principal research fellow at the Road Safety Research Collaboration. He has a PhD in road safety from the Queensland University of Technology, which investigated driver vigilance impairment on monotonous Australian roads. He has worked in the field of road and rail safety since 2007. In his research, he has combined his engineering and mathematical academic background to human factors through the evaluation of interventions designed for road users.

His main areas of expertise and interest include the evaluation of driver behaviour in driving simulators and in the field, particularly when impaired. He is applying mixed method approaches to enhance safety in transportation systems and aims to translate research findings into real world practice.

He has successfully led numerous research projects, particularly for the transport government and the rail industry, and used this opportunity to ensure his research led to changes in practice. He has published widely in high quartile peer reviewed journals, and he serves in different Standard Development Groups (Rail Industry Safety and Standards Board, Standards Australia) for including human factors research findings into rail and road safety standards.

Professional Membership

  • Member of the Australasian Road Safety Conference Scientific Committee
  • Member of the Australasian Road Safety Conference Interactive Workshop Sub-Committee
  • Railway Level Crossing Committee, Transportation Research Board

Awards

  • Best paper –Transportation Research Board Annual Meeting, 2019
  • Standards Australia Young Leaders Program for 2018/19 Award
  • Australasian Centre for Rail Innovation Fellowship Award
  • Best paper (co-author) – International Journal of Advanced Computer Science and Applications, 2013
  • Outstanding Thesis Award, QUT, 2010
  • Nomination for the Peter Vulcan Award, Australasian Road Safety Research, Policing and Education Conference, 2009

Research areas

  • Road and Rail Safety
  • Driver behaviour
  • Human Factors
  • Impaired driving
  • Distracted driving
  • Young drivers

Supervision:

  • Driving impairment
  • Injury prevention
  • Driving simulations
  • Driver attitudes and behaviours
  • Quantitative and qualitative research methodologies
  • Psychophysiology

Recent Publications

  • Larue, G. S., & Watling, C. N. (2022). Prevalence and dynamics of distracted pedestrian behaviour at railway level crossings: Emerging issues. Accident Analysis & Prevention, 165, 106508. https://doi.org/10.1016/j.aap.2021.106508  
  • Wood, J. M., Atchison, D. A., Black, A. A., & Larue, G. S. (2022). Low levels of refractive blur increase the risk of colour misperception of red train signals. Ophthalmic and Physiological Optics, 42(4), 872-878. https://doi.org/10.1111/opo.12979
  • Rodwell, D., Bates, L., Larue, G. S., Watson, B., & Haworth, N. (2022). Parents’ self-efficacy and the quality of supervised driving practice they provide for their children. Transportation Research Part F: Traffic Psychology and Behaviour, 87, 189-202. https://doi.org/10.1016/j.trf.2022.04.006
  • Watling, C. N., Larue, G. S., Wood, J. M., & Black, A. (2022). An on-road examination of daytime and evening driving on rural roads: physiological, subjective, eye gaze, and driving performance outcomes. Attention, Perception, & Psychophysics, 84(2), 418-426. https://doi.org/10.3758/s13414-021-02424-9
  • Larue, G. S., & Naweed, A. (2021). Evaluating the effects of automated monitoring on driver non-compliance at active railway level crossings. Accident Analysis & Prevention, 163, 106432. https://doi.org/10.1016/j.aap.2021.106432

 

FOR MORE PUBLICATIONS, PLEASE SEE DR LARUE'S RESEARCH BANK

Gregoire Larue's specialist areas of knowledge include road safety, driving impairment, simulated and field experiments, mixed method approaches, intervention evaluation and data modelling.

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