|Funding for:||UK Students|
|Funding amount:||£14,777 tax-free stipend at the standard EPSRC rate and covers home-level tuition fees|
|Placed On:||15th January 2019|
|Closes:||1st March 2019|
Research Group: Transport
Project Reference: CMEES-TRANS-547
The Transportation Research Group at the University of Southampton (www.southampton.ac.uk/trg) and Siemens Mobility Limited (Poole, UK) are pleased to be able to offer a fully-funded PhD studentship focussing on using Artificial Intelligence (AI) approaches to improve real-time road traffic signal control systems.
As increased levels of real-time data become available within a road transport system (wirelessly connected cars, pedestrian monitoring systems, etc.), AI is increasingly being used to enable more rapid response to changing traffic patterns and road network conditions. In contrast however the use of countdown timers on pedestrian crossings and vehicle speed advisory systems such as GLOSA require a fixed time horizon within which no changes can be made to existing signal plans. These two approaches, exploiting maximum flexibility and requiring no flexibility appear fundamentally opposed.
Using simulation modelling of a state-of-the-art AI based traffic signal control approach co-developed by the Transportation Research Group and Siemens Mobility Limited, the project will seek to understand the relationships between maximum and minimum flexibility approaches and their comparative performance in real life urban transport systems.
The project would suit a student with a strong mathematical/engineering/computing background. Prior experience of artificial intelligence and/or road traffic modelling would be an advantage, but not essential.
If you wish to discuss any details of the project informally, please contact Dr Ben Waterson, Transportation Research Group, Email: B.J.Waterson@southampton.ac.uk
Funding and Eligibility
This 3 year studentship covers home-level tuition fees and provides an annual tax-free stipend at the standard EPSRC rate, which is £14,777 for 2018/19.
Applicants must be UK residents with no restrictions on how long they can stay in the UK and have lived here for at least 3 years prior to the start of the studentship. This residence cannot be mainly for the purpose of receiving full-time education.
For further guidance on funding, please contact firstname.lastname@example.org
How to Apply
Click here to apply and select the programme - PhD in Engineering and the Environment. Please enter the title of the PhD Studentship in the application form.
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