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Group

Transport Research in Psychology (TRiP)

Unit(s) of assessment: Psychology, Psychiatry and Neuroscience

Research theme(s): Safety and Sustainability

School: School of Social Sciences

Overview

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.

Current projects

Motorised Mobility Devices (MMDs): Incidents, Near Misses and Safety

Tractor Driver Training: Creating a Hazard Perception VR Course for Agricultural Colleges

Recent projects

Assessing e-scooter legislation knowledge and illegal riding behaviour

Development of an on-road tractor-based VR assessment and training tool for agricultural drivers

Understanding and explaining the differences between the mental-models of motorcyclists and car drivers for detecting hazards: From theory to training

Video resources

Take a look at the video resources created by the TRiP research group relating to topics such as mindful driving practices, mythbusting the use of hands-free, the psychology of car-motorcycle crashes, and the use of scooters.

Collaboration

  • 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

Publications

  • Crundall, D., & Van Loon, E. (2023). Improving attitudes towards vulnerable road users. Accident Analysis & Prevention184, 107006. https://doi.org/10.1016/j.aap.2023.107006.
  • Crundall, D., & van Loon, E. (2025). An investigation of barriers and facilitators to young drivers’ engagement with post-licensure training. Transportation Research Part F: Traffic Psychology and Behaviour110, 104-117. https://doi.org/10.1016/j.trf.2025.02.010.
  • Crundall, D., Van Loon, E., Baguley, T., & Kroll, V. (2021). A novel driving assessment combining hazard perception, hazard prediction and theory questions. Accident Analysis & Prevention149, 105847. https://doi.org/10.1016/j.aap.2020.105847.
  • Goodge, T., Kroll, V., Vernon, M., Ventsislavova, P., & Crundall, D. (2021). A comparison of cybersickness symptoms across 360-degree hazard perception and hazard prediction tests for drivers. Applied ergonomics97, 103549. https://doi.org/10.1016/j.apergo.2021.103549.
  • Guest, D, Gous, G., Butcher, A., Mackenzie, A., Guest, G., Young, A., & Crundall, D (2024) Developing A Taxonomy of Hazards and Hazard Mitigation Strategies for Motorised Mobility Scooter Users. Accident Analysis & Prevention. 195,1-13. https://doi.org/10.1016/j.aap.2023.107423
  • Kroll, V., Mackenzie, A. K., Goodge, T., Hill, R., Davies, R., & Crundall, D. (2020). Creating a hazard-based training and assessment tool for emergency response drivers. Accident Analysis & Prevention144, 105607. https://doi.org/10.1016/j.aap.2020.105607
  • Mackenzie, A.K., Vernon, M.L., Cox, P.R. et al. The Multiple Object Avoidance (MOA) task measures attention for action: Evidence from driving and sport. Behav Res 54, 1508–1529 (2022). https://doi.org/10.3758/s13428-021-01679-2
  • Pilkington-Cheney, F., & McNicholas, W. T. (2025). Occupational and Driving Challenges Within Sleep Medicine. Journal of Sleep Research, e70063. https://doi.org/10.1111/jsr.70063
  • Pilkington-Cheney, F., Filtness, A., Haslam, C., & Miller, K. A. (2025). Predicting the use of sugar and caffeine as countermeasures to sleepiness in London bus drivers. Industrial health, 63(3), 276-287.  https://doi.org/10.2486/indhealth.2024-0138
  • Ventsislavova P, Baguley T, Antonio J, Byrne D. (2024). E-scooters: Still the new kid on the transport block. Assessing e-scooter legislation knowledge and illegal riding behaviour. Accident Analysis and Prevention, 195, 107390. https://doi.org/10.1016/j.aap.2023.107390
  • Ventsislavova P, Harrison L, Baguley T. (2025). Assessing hazard prediction and risk calibration skills in experienced and novice e-scooter riders. Scientific Reports, 15, 3960. doi: 10.1038/s41598-025-87538-y.
  • Ventsislavova, P., Rosenbloom, T., Leunissen, J., Spivak, Y., & Crundall, D. (2022). An online hazard prediction test demonstrates differences in the ability to identify hazardous situations between different driving groups. Ergonomics,65(8), 1119–1137. https://doi.org/10.1080/00140139.2021.2016999

Facilities

The group has access to:

  • STI SIM Driving Simulator
  • Carnetsoft driving simulator
  • Honda Rider Trainer Motorcycle Simulator
  • SMI RED 500 eye tracker
  • SMI ETG Portable eye trackers x 2
  • HTC Vive VR headset within built in Tobii eye tracker