• Lancaster University Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • Coventry University Featured PhD Programmes
  • University of Birmingham Featured PhD Programmes
  • Ross University School of Veterinary Medicine Featured PhD Programmes
  • University of Manchester Featured PhD Programmes
  • FindA University Ltd Featured PhD Programmes
Ludwig-Maximilians-Universität Munich Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
EPSRC Featured PhD Programmes
Imperial College London Featured PhD Programmes
FindA University Ltd Featured PhD Programmes

Urban surveillance infrastructure for crowd model updating and active crowd management (SCTT)

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr S Carroll
  • Application Deadline
    Applications accepted all year round

Project Description

The United Nations report that the urban population has grown from 746 million in 1950 to 3.9 billion, as of 2014. This is forecast to exceed 6 billion by 2045. Over half of the world’s population currently live in urban areas with the number of megacities (with population greater than 10 million) standing at 36 and set to continue growing rapidly. Against this backdrop the UN’s Population Division have stated ‘Managing urban areas has become one of the most important development challenges of the 21st century’.

To manage the urban environment, it is necessary to observe and monitor the behaviour of its occupants. As a city becomes more densely populated, the efficient and safe movement of people within it becomes more challenging. Larger cities experience larger and more frequent crowd gatherings for celebration and festival events. As is demonstrated all too often, when large crowds congregate the emergent behaviours can lead to stampeding and crushing, causing injury or death. Motivated by these challenges, and in line with the research objectives of the Warwick Institute for the Science of Cities (http://www.wisc.warwick.ac.uk), this project will seek to develop a framework for active crowd management that combines the state of the art in computer vision and crowd flow modelling. Of particular interest is the potential benefit of combining crowd behaviour data, mined from surveillance footage with the predictive ability of agent-based crowd modelling.

This is an exciting cross-disciplinary project that spans the fields of civil engineering, computer science, social psychology. The successful candidate will acquire a wide range of skills including image processing, numerical modelling and experimental design. S/he will also develop a state of the art insight into human mass gathering behaviour. A strong emphasis will be placed on developing the candidate’s ability to independently analyse, partition and solve complex problems. This analytical approach to problem solving combined with the project specific knowledge and skills developed will provide the candidate with a solid foundation for his/her future academic or industrial career.

Funding Notes

Qualifications and Eligibility:
We are looking for creative and highly motivated applicants with First or Upper Second degree (or EU equivalent) in engineering, mathematics, science or computer science with good English communication skills. The admission process will also require two supporting academic references and an English qualification if your first language is not English.

Funding Details:

The Scholarship will pay an annual stipend at the standard rate (currently £14,057) and cover the UK tuition fees for 3 years.


How to apply:

Applicants should send a cover letter outlining motivation and suitability for this project, and a full CV with the names of two referees to Dr Sean Carroll ([email protected]). For further information you can contact Dr Sean Carroll by email [email protected]

Cookie Policy    X