Gregoire has worked in the field of road and rail safety since 2007. Since this time, his research has focused on the intersection of engineering, mathematics and human factors to improve the safety of road users. His main areas of expertise and interest include the modelling of driver behaviour in driving simulators and on roads, particularly when impaired. He has successfully led numerous research projects, particularly for transport and rail industry.
Gregoire’s current research is focused on the development of new technology using Artificial Intelligence to automatically detect impaired driving. His current projects seek to understand the effects of alcohol or medicinal cannabis on driving performance in a driving simulator. These projects are stepping stones toward the automatic detection of alcohol and cannabis impairment using in-vehicle or roadside technology.
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
Memberships
-
Chair of the Sunshine Coast Sub-Committee of the Australasian College of Road Safety Queensland Chapter
Research areas
- Driving simulations
- Machine learning
- Advanced driving technologies
- Driving impairment
Supervision
- Driving impairment
- Injury prevention
- Driving simulations
- Driver attitudes and behaviours
- Quantitative and qualitative research methodologies
- Psychophysiology
Recent publications
- Goldsworthy, J., Watling, C. N., Rose, C., & Larue, G. (2024). The effects of distraction on younger drivers: A neurophysiological perspective. Applied Ergonomics, 114, 104147. https://doi.org/https://doi.org/10.1016/j.apergo.2023.104147
- Hasan, M. M., Watling, C. N., & Larue, G. S. (2024). Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning. Computer Methods and Programs in Biomedicine, 243, 107925. https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107925
- Love, S., Larue, G. S., Rowland, B., & Davey, J. (2024). What influences intentions to offend? A systematic review and meta-analysis on the factors associated with the deterrence of drink-driving. Transportation Research Part F: Traffic Psychology and Behaviour, 100, 154-168. https://doi.org/https://doi.org/10.1016/j.trf.2023.11.015
- Swain, R., & Larue, G. S. (2024). Looking back in the rearview: Insights into Queensland’s rear-end crashes. Traffic Injury Prevention, 25(2), 138-146. https://doi.org/10.1080/15389588.2023.2267710
- Elhenawy, M., Larue, G. S., Masoud, M., Rakotonirainy, A., & Haworth, N. (2023). Using random forest to test if two-wheeler experience affects driver behaviour when interacting with two-wheelers. Transportation Research Part F: Traffic Psychology and Behaviour, 92, 301-316. https://doi.org/https://doi.org/10.1016/j.trf.2022.09.001