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CMEES-Trans-112: A Typical Day for the Road Network

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database and may not be available.

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  • Full or part time
    Dr B J Waterson
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

The Transportation Research Group at the University of Southampton (www.southampton.ac.uk/trg) and Siemens Mobility (Poole, UK) are pleased to be able to offer a fully-funded PhD studentship focussing on using ‘big-data’ and ‘data-mining’ approaches to analyse real-time and historical traffic data. The project would suit a student with a strong mathematical/engineering/computing background, prior experience of working with large/diverse datasets would be an advantage, but not essential.

In the road traffic industry real-time data is collected from a diverse variety of sources, including sensor data from individual vehicles, meteorological data and time context data (e.g. school/university terms). Effective traffic control increasingly depends upon the way in which these data sets are combined/analysed, to predict future traffic and enable traffic managers to act proactively to prevent congestion. While there is a general consensus that different types of day (for example a ’wet Tuesday during the school term’) generally follow the same underlying traffic patterns, as there is always something atypical going on in any road network, it is a non-trivial problem to define these underlying patterns.

This project therefore seeks to use historical traffic data archives to quantify underlying patterns and trends, to develop algorithms to compare real-time data to the patterns, to increase the speed of detection of incidents within the traffic network and ultimately enable reduction of congestion in an increasingly busy world.

Studentship Details:
• The studentship provides a tax-free bursary of £14,000 per-year for three years.
• This studentship is only open to UK/EU students (for full eligibility criteria please see https://www.epsrc.ac.uk/skills/students/help/eligibility)
• Applicants must have a first class or good upper second class degree in a relevant subject.
• It is expected that the student will spend time on placement at Siemens during their studies

To discuss the project informally, please contact either Dr Ben Waterson ([email protected]) or Ian Snell ([email protected]).

Visit our Postgraduate Research Opportunities Afternoon to find out more about Postgraduate Research study within the Faculty of Engineering and the Environment: http://www.southampton.ac.uk/engineering/news/events/2016/02/03-discover-your-future.page

How good is research at University of Southampton in General Engineering?

FTE Category A staff submitted: 192.23

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