The Transport Research in Psychology (TRiP) group undertakes award-winning research with the aim of helping reduce injuries and fatalities on our roads. Research specialisms include hazard perception, driver-safety training interventions, development of visual skills, simulation and cognitive underpinnings of driving expertise.
Traffic and Transport Psychology Symposium
On April 11, 2019, the Transport Research in Psychology group (TRiP) at NTU hosted the 2nd Traffic and Transport Psychology Symposium. Ten international speakers presented on a range of road safety topics to an audience of academics, policy makers, charities, industry and driver trainers. A selection of the talks are available below in pdf format.
- Jaguar Land Rover
- Driver and Vehicle Standards Agency
- Department for Transport
- RAC Foundation
- Fire Service Research and Training Trust
- Nottinghamshire Fire and Rescue Service
- Human Focus International
- Transport Research Laboratory
- University of Granada
- University of Valencia
- Tsinghua University
- University of Waikato
- Bar Ilan University
- Road Safety Trust
- Thomas Goodge
- Brad Standen
- Robert Davies
- Pancy Poon
- Crundall, D., Howard, A., and Young, A. (2017). Perceptual training to increase drivers’ ability to spot motorcycles at T-junctions. Transportation Research Part F, 48, 1-12.
- Young, A. H., Crundall, D., & Chapman, P., (2017). Commentary driver training: Effects of commentary exposure, practice and production on hazard perception and eye movements. Accident Analysis and Prevention, 101, 1-10.
- Young, A.H., Mackenzie, A.K., Davies, R.L., & Crundall, D. (2017). Familiarity breeds contempt for the road ahead: The real-world effects of route repetition on visual attention in an expert driver. Transportation Research Part F.
- Ba, Y., Zhang, W., Peng, Q., Salvendy, G., and Crundall, D. (2016). Risk-Taking on the Road and in the Mind: Behavioural and Neural Patterns of Decision Making between Risky and Safe Drivers. Ergonomics, 59, 1, 27-38.
- Crundall, D. (2016). Hazard prediction discriminates between novice and experienced drivers. Accident Analysis & Prevention, 86, 47-58.