Future Mobility

Future Mobility

Introduction

Our Future Mobility research is at the forefront of mobility innovation in a rapidly changing technology-enabled world. We see major disruption in the transport sector due to the imminent arrival of future technology such as connected and automated mobility. As a result of this, the way in which people, goods and services moves is changing dramatically and we are guiding that change.

Our truly multi-disciplinary teams develop knowledge through frontline, cutting-edge applied research enabled by strong internal and external networks. We use robust scientific methods coupled with innovative modelling and simulation techniques, to guide and develop solutions and inform policy on the next generation of transport, mobility and the environments in which they take place.

Everyone in society will benefit from this innovation in future mobility that will lead to safer roads, secure systems, cleaner cities and transform how people and goods move around in the UK and the wider world. We are proud to be part of that future.


Areas of research

There are six research groups, including:

Human Factors for Future Mobility is an interdisciplinary group addressing problems at the interface of design, engineering, technology and psychology, to solve challenges of sustainable future mobility.  

Design Ergonomics Group has a mission to make a positive change to people’s lives through user-centred transport design, with a focus on inclusive design and visualisation techniques for an enhanced passenger experience.  

Connected Mobility as a group envisions the development of novel machine learning and IoT technologies for intelligent vehicles, infrastructure and other data-driven applications.

Systems Security Group has a mission to research and engineer secure and resilient cyber-physical systems for the automotive and transport industry, working in collaboration with partners in industry, academia and government.

Transport Safety and Simulation aims at research in public policy and industrial practice towards active and passive safer design for modern transport systems, using simulation and modelling methods.

Structures, Control and Optimisation is leading on algorithmic development for modelling, analysis, control and optimisation methods aiming at efficient systems, designs and structures in a range of engineering applications.

 


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