Using big data to quantify driver risk


The pricing of car insurance policies is traditionally based on home location, driver experience and the driver record. Mobile network, app and/or telematics data can be used to assess the risk profile of a driver, based on arrange of safe driving measures.

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use cases

Assessing driver Risk profile

Analysis of trips, routes and time of day to establish risk profile

Assessing driver Risk profile

Analysis of trips, routes and time of day to establish risk profile

Use Cases

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This research is intended to provide a better foundation for the scope, refinement and integrity of our current practice - allowing us to work more credibly and expand into new sectors while continuing to adopt the latest techniques available. We are already working with a number of organisations in our research efforts.


  • Lovreglio, R, Kuligowski, E, Gwynne, S, Boyce, K, A Pre-Evacuation Database for Use in Egress Simulations, Fire Safety Journal, 2019 (in Print).
  • Intini, P, Ronchi, E, Gwynne, S and Pel, S, Traffic Modeling for Wildland–Urban Interface Fire Evacuation,  J. Transp. Eng., Part A:Systems, 2019, 145 (3): 04019002
  • Gwynne, SMV and Hunt, ALE, Testing Evacuation Models, Pedestrian and Evacuation Dynamics, 2018.
  • Gwynne, SMV and Hunt, ALE, Deducing the Impact of Excluding Social Groups When Modelling Pedestrian Flow, SFPE EXTRA, 30, June 2018.
  • Gwynne, SMV, The Unintended Consequences of Ignoring Evacuee Response, Fire and Evacuation Modeling Technical Conference (FEMTC) 2018, Gaithersburg, MD, USA, 2018.

  • Ronchi, E., Kuligowski, E. & Gwynne, S. Fire Technol (2019) 55: 387.
  • Gwynne,S.M.V., Hunt, A.L.E., Thomas, J.R.,Thompson,A.J.L. and Séguin,L., The toilet paper: Bathroom dwell time observations at an airport,Journal of Building Engineering, 24,2019, 100751.
  • Gwynne, SMV, Ouellette,J, Brown, R and Kinateder, M Developing a Notation for Mapping Evacuee Performance, Interflam 2019,Interscience, 2019.
  • Johansson, A, Ronchi, E, Gwynne, SMV, Thompson, A, and Thomas, JR, Quantifying the Impact of Luggage on Aircraft Deplaning Scenarios, Interflam 2019, Interscience, 2019.
  • Kinsey, M, Gwynne, SMV, and Kinateder, M, Burning Biases: Mitigating Cognitive Biases in Fire Engineering, Interflam 2019,Interscience, 2019.
  • Gwynne, SMV, Modelling and Mapping Wildfire Evacuation, Keynote Presentation, IFireSS 2019, Ottawa, Canada, 2019.


Related case studies

  We are seeking to collaborate with organisations engaged in research.
If you wish to discuss potential research opportunities, please contact Dr. Steve Gwynne.