Vehicular Traffic Flow Modelling, Prediction and Control at University of Sheffield on FindAPhD.com

Prof Lyudmila Mihaylova Applications accepted all year round Self-Funded PhD Students Only

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Sheffield United Kingdom Electrical Engineering Electronic Engineering Software Engineering

Department of Automatic Control and Systems Engineering, University of Sheffield

About the Project

This research will address many issues related with efficient, reliable and quick exchange of information and data over sensor networks for intelligent vehicular traffic systems. The data are received only at boundaries between some segments and averaged within possibly irregular time intervals. Additionally, there are missing data and sensor failures that need to be taken into account. Traffic models and filters are going to be investigated and developed dealing with the appropriate fusion of multiple sensor data. Both centralised and distributed traffic state estimate techniques will be investigated in the light of real time traffic management and control systems.

Funding Notes

This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.
Prospective candidates for this project should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject.
Full details of how to apply can be found at the following link:
View Website
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: View Website

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