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A Computational Model for Improving Pedestrian Road Safety [Self-Funded Students Only]

   Cardiff School of Computer Science & Informatics

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  Dr P Corcoran, Dr Yuhua Li  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Each year about 1.24 million deaths worldwide result from road traffic crashes making this a significant cause of death globally. According to the UK Department for Transport, pedestrians accounted for 24% of all road deaths in Great Britain in 2015. Given this, improving pedestrian safety with respect to road traffic crashes is an important research objective.

The aim of this project is to use modern computational tools and methods to improve pedestrian safety. These tools include mathematical modelling, simulation, data science, machine learning and Internet of Things (IoT). Using real world data and models of vehicle and pedestrian behaviour, a system which is capable of measuring the safety of difficult street network junctions will be developed. This system will in turn be used to suggest interventions for improving pedestrian safety at these locations. These interventions will include actions such as installing a pedestrian crossing, changing the flow of traffic and installing warning signal lights.

The deliverables from this project will be a system which is evaluated in a simulation of real world city street networks. This evaluation will aim to demonstrate that suggested interventions result in statistically significant improvements in pedestrian safety.

Keywords: pedestrian safety, mathematical modelling, data science, Internet of Things (IoT).

Contact for information on the project:

Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.

Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.

How to apply:

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

This project is accepting applications all year round, for self-funded candidates via 

In order to be considered candidates must submit the following information: 

  • Supporting statement 
  • CV 
  • In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
  • Qualification certificates and Transcripts
  • Proof of Funding. For example, a letter of intent from your sponsor or confirmation of self-funded status (In the funding field of your application, insert Self-Funded)
  • References x 2 
  • Proof of English language (if applicable)

If you have any questions or need more information, please contact 

Funding Notes

This project is offered for self-funded students only, or those with their own sponsorship or scholarship award.
Please note that a PhD Scholarship may also available for this PhD project. If you are interested in applying for a PhD Scholarship, please search FindAPhD for this specific project title, supervisor or School within its Scholarships category.

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