Exposure monitoring

Predicting brain injury from on-board vehicle sensors

Using car sensor data to triage TBI severity in road traffic incidents.

Traumatic brain injury is one of the most time-sensitive injuries that road traffic casualties sustain. Rapid, tailored post-crash response can reduce risk of death and long-term consequences. We've shown that on-board vehicle sensors can be used to predict TBI severity, using large-scale analysis of the UK's Road Accident In-Depth Study (RAIDS) database.

Faster, better-targeted post-crash response saves lives, but emergency medicine has limited information at the scene about how serious the brain injury actually is.

Large-scale data-driven analysis of the UK’s RAIDS database links on-board vehicle sensor signatures to subsequent clinical TBI outcomes.

A predictive system that medical emergency response can use to triage casualties at the scene. Led by Dr Claire Baker.

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Related publications

Papers connected to this work.

The relationship between road traffic collision dynamics and traumatic brain injury pathology

Claire Baker, Phil Martin, Mark H. Wilson, Mazdak Ghajari, David Sharp

Brain Communications, 2022

DOI

How do demographic factors, non-standard and out-of-position seating affect vehicle occupant injury outcomes in road traffic collisions?

Claire Baker, Mazdak Ghajari

Safety Science, 2025

DOI

Inherent uncertainty in pedestrian collision reconstruction: How evidence variability affects head kinematics and injury prediction

Claire Baker, Phil Martin, A Montemeglio, Rui Li, Mark H. Wilson, David Sharp, Mazdak Ghajari

Accident Analysis & Prevention, 2024

DOI