The School of Science and the Environment at MMU has a fully funded PhD studentship, beginning September 2015 titled "Enabling resilient transport networks in response to road traffic events".
The aim of this project is to develop a conceptual model, and subsequently a data model, for an Intelligent Transport System that has as input a disparate set of data sources (real-time and historic) and supports transport network users and managers in making informed choices in order to reduce road congestion.
One of the major components of the “Smart City” is an Intelligent Transport System that monitors and reacts to events on the road network and supports both network managers (private and public transport) and network users in making informed choices about alternatives. For example, how can a section of the road network be annotated as liable to flooding and then short-term weather forecasts be used to predict a possible break in the network at that location? Given the break in the road network, can users be rerouted by Variable Message Signs (VMS) or encouraged to change mode e.g. to rail or bus?
The aim of the project is to develop a conceptual model that captures the semantics of the domain. What are the differences, for example, between the characteristics of road works and a road accident that affect how we plan for and respond to each event?
The project will be part-funded by Transport for Greater Manchester (TfGM), which has extensive experience in monitoring and modelling traffic in Greater Manchester. Applicants must have a strong background in computer science or related discipline and, in particular, must have an interest in knowledge engineering and data modelling. The candidate should possess excellent programming skills.
For more information visit:
www2.mmu.ac.uk/research/studentships/environmental-science/
If you have any questions then contact Nick Gould ([log in to unmask])
Closing date is 4th June 2015
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