Within Crash Analysis and Prevention, we investigate why accidents occur and how they can be prevented. This includes understanding mechanisms linked to the behaviour of drivers and vulnerable road users, as well as vehicle and environmental factors.
We study and develop strategies both to reduce risk exposure during normal driving and to avoid risks in conflict situations in traffic. We develop an understanding of these strategies to support industry in developing effective active safety and vehicle automation. We evaluate these strategies using conceptual and mathematical models developed from naturalistic and experimental data, which we integrate into counterfactual simulations.
We aim to be a leading group that combines behavioural science, neuroscience, artificial intelligence and engineering to create a traffic system that works for people. We drive innovation in vehicle safety by bringing together representatives from academia, industry and authorities, and by promoting our students’ development and success.
Head of research group
- Full Professor, Vehicle Safety, Mechanical Engineering