Human Factors and Driver Behaviour
Road user and driver behaviour affects many aspects of intelligent mobility deployment and our goal is to understand how people use autonomous and intelligent mobility systems in order to improve designs and reduce risk.
Using driving simulators and real-world experiments we are able to measure distraction, fatigue, driving style within the context of the real-world traffic environment. We conduct research into the manner in which humans interact with machines whether as drivers or as other road users.
Our research also addresses human behaviour at a societal level where we examine the factors that influence consumer decisions around the adoption and subsequent use of new mobility technologies.
We are developing a comprehensive understanding of road user behaviour and how it impacts road safety. A cross-disciplinary team, we have expertise in human factors, mathematics, mechanical engineering, medicine, and psychology. This broad-based capability allows us to study the complexities of road user behaviour from a range of perspectives and develop a comprehensive understanding of how it impacts road and vehicle safety.
Among our resources is the data from Europe's largest naturalistic driving study which includes nearly 100,000 hours of data and video information of normal driving behaviour for cars, lorries and cyclists.
We work with industry to apply our research to new in-vehicle and roadway system. Our work supports policymakers by providing the underlying evidence base for future regulatory changes.
Our research themes include:
- Driver attention, distraction and fatigue
- Naturalistic driving studies
- Field trials of in-vehicle systems
- Evaluation of situational awareness
- Driver state monitoring
- Driver modelling for CAV simulations
- Human factors and design for behaviour change
- Impact of societal factors on purchasing decisions for future mobility technologies
- Natural language analysis of social media to measure traveller satisfaction
Leading Group