About the Project
Research and develop a novel Coach Intelligent Transport Systems (CITS), to automate the process of (a) transport planning; (b) mine for useful data; and (c) enable automated decision making.
Information and Communications Technologies (ICT) provide the means to improve service quality, safety and management of transport systems, allowing existing infrastructure capacity to be used more efficiently and safely by a coach company or a group of coach companies. Coach Intelligent Transport Systems (CITS) comprise several combinations of communication, computer and control technology developed and applied in the domain of transport to improve system performance, transport safety, efficiency, productivity, level of service, environmental impacts, energy consumption, and mobility. The CITS can play particularly vital roles in ensuring mobility for all and meeting demand in increasingly competitive markets. The need for such solutions stems from existing traffic and transport problems including congestion, accidents, lack of user information, lack of communications and decision-support for operators.
The primary focus will be on transport planning, tool design to produce forecasts for passengers and vehicles using a combination of modelling techniques on transport demand forecasting and scenario building and to make advanced transport models.
The second part will be to develop a mining tool to analyse the datasets in the transportation domain, some of them historical and captured by the coach company, as well as others that are gathered from external sources. This will lead to identify pattern or hot spots that can be fed into decision making.
The final decision making system will be an agent or group of agents that automatically interact/transact both internal to the coach organisation and in some instaces to other organisations or coach companies.
The outcome of this PhD will be a tangible system that comprises the above three components of (a) intelligent transport planning; (b) data mining; and (c) automated decision making to enable transactions based on the knowledge discovered from the mined data.
Additional Skills:
The following online skills and industry relevant research may help.
a) Marketing with the a focus on Digital Marketing, successful candidate to be able to review concept document, with core values and goals to be created, enhance it and be able to create and deliver elements of marketing program to drive the initiative forward, including: i. Template letters/emails; ii. Work with sales team to create effective telephone scripts; iii. Create content for website; iv. Work with the team to create and define marketing initiatives; v. Creating value addition.
b) Graphic Designer/Web Designer to be able to create and continually develop a cutting edge user friendly website to enable ease of trade and in turn collect data for research.
c) As part of the research activity, engage and work as a team with Marketing to deliver high quality and rapid response to emerging business needs.
How to apply: Applications are made via our website using the Apply Online button below. If you have an enquiry about this project please contact us via the Email NOW button below, however your application will only be processed once you have submitted an application form as opposed to emailing your CV to us.
Funding Notes
Funded candidates will receive a maintenance grant of £14,000 (unless otherwise specified) per annum, to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for funded PhD studentship must demonstrate outstanding qualities and be motivated to complete a PhD in 3 years.
All candidates must satisfy the University’s minimum doctoral entry criteria for studentships of an honours degree at Upper Second Class (2.1) and/or an appropriate Master’s degree.
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