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  A framework for capturing the impact of weather on driver behavior: From Theory to Practice

   School of Electronic, Electrical and Systems Engineering

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  Dr Krishnan Venkateswaran  No more applications being accepted  Awaiting Funding Decision/Possible External Funding

About the Project

Extreme weather is responsible for 12% of train delays every year in Britain. Storms and high winds can also cause poor visibility for drivers as well as a significant risk of hitting trees that have fallen on the railway line. When temperatures exceed a critical threshold, temporary speed restrictions are introduced to manage track buckling and derailment risks, however this has an impact on the train timetable. This poses a safety and performance risk to the operation of the railway network, especially in the face of a changing climate.

This research will investigate the role of weather conditions on driver behaviour to understand the impacts of weather on railway network operations and delays. The analysis of meteorological data combined with passenger service performance data, onboard train data and interviews with relevant stakeholders will help inform improvements to standards, increase safety and help reduce weather related railway delays.

We would like to invite applications from candidates who would like to work in the area of driver behavior, climate resilience, operational resilience, and railway technology. The ideal candidate will have a STEM background and will need to have experience of computer-based programming and a track record of publishing research at a domestic or international conference level. Practical experience working in the railway industry is desirable.

Subject areas: Railway Engineering, Climate Adaptation, Systems Engineering, Operational Resilience, and Technology Management 

Computer Science (8) Engineering (12) Environmental Sciences (13)

Funding Notes

The project is awaiting funding from EPSRC to accommodate both UK students and International Students.

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