View Proposal
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Proposer
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David Corne
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Title
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Transport system simulation to support emission reduction
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Goal
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Build and run simulations to contribute to a major UK project on transport system decarbonization
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Description
- An ongoing project called TransiT (https://transit.ac.uk/) is exploring how 'DIgital Twins' can help the UK find ways to redesign aspects of its transport systems to reduce carbon emissions. In the transport-systems context, a 'Digital Twin' is basically a discrete-event simulation which might be used to, for example, investigate the effects of a new traffic light system at a major junction, or the impact of more frequent and cheaper bus services on traffic congestion.
This student project will build and/or investigate a transport system or component in connection with the wider TransiT project. Details to be explored and devleoped in alignment with the student's particular skills or interests. The project will likely make use of (or further engineer) existing open source simulators such as MATSim.
- Resources
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open source software, access to HWCS and HWU linux machines and associated support
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Background
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Url
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External Link
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Difficulty Level
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Variable
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Ethical Approval
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None
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Number Of Students
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0
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Supervisor
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David Corne
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Keywords
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simulation, data mining, sustainability, machine learning
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Degrees
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Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Science in Statistical Data Science