Understanding dynamic pedestrian movements and transport flows within urban environments through sensor data

Project Details

Lead Supervisor: Alex Singleton, University of Liverpool
Other Supervisors: Simon Maskell (Computer Science), Richard Koeck (Architecture)
Contact Email: alex.singleton@leeds.ac.uk
Partners: University of Liverpool
External Partners: Red Ninja

Start Date: Octber 2017

Sensor technology within cities are enabling new methods of estimating both transport and pedestrian flows. However, there are a range of technical challenges associated with the practical use of the data generated, and in particular how different sources can be conflated. This project will explore various mechanisms of data fusion and will build models of estimated flow within urban contexts for current and future scenarios.

Reference number LV01

Deadline for applications – 30th April 2017

Apply online here

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