Big data Adaptive Dynamic Route Planning for High-Sea Transportations
Dr T Jeyarajan
Dr Peter Green
No more applications being accepted
Funded PhD Project (European/UK Students Only)
PLEASE APPLY ONLINE TO THE SCHOOL OF ENGINEERING, PROVIDING THE PROJECT TITLE, NAME OF THE PRIMARY SUPERVISOR AND SELECT THE PROGRAMME CODE "EGPR" (PHD - SCHOOL OF ENGINEERING)
This is a project within the multi-disciplinary EPSRC and ESRC Centre for Doctoral Training (CDT) on Quantification and Management of Risk & Uncertainty in Complex Systems & Environments, within the Institute for Risk and Uncertainty. The studentship is granted for 4 years and includes, in the first year, a Master in Decision Making under Risk & Uncertainty. The project includes extensive collaboration with prime industry to build an optimal basis for employability.
The modern globalised economy inherently relies on efficient means for transporting goods. With 90 per cent of world trade carried by ocean, the maritime global network of ships is one of the fundamental aspects of our daily lives. Despite this, the shipping industry is not prominent in the public eye and often appreciated and valued much less than any other modes of transportation. A number of factors influence the journey of a shipping line – this includes weather, ocean currents, port availability, schedules and alike. In the past, weather-based routing has played a central role in providing optimal routes. This is suboptimal as it assumes that weather is the only thing that constraints the ships’ movements.
The aim of this proposed project is to handle the route-planning problem in light of continuously evolving multiple data sources covering a number of aspects that are not addressed by weather-based routing. In particular, it will involve fusing data sources corresponding to ship movements (AIS Data), ocean currents, weather data (wave heights, temperature and wind), port information and schedules of the shipping lines. Through the development of near optimal, robust and dynamic route planning algorithms, the student will have the opportunity to improve a vital part of the global economy (while also reducing its environmental impact).
This challenging PhD programme will address a number of issues, including overall modeling of the problem as a risk network, risk modeling and optimal route selection. The deliverables of this PhD will be of high impact – enabling the industry to optimise their energy / fuel consumption, minimise delays and improve the operational efficiency of their fleets.
This project will be supported by the Hartree Centre, and by the Lloyds Register.
The PhD Studentship (Tuition fees + stipend of £ 13,726 annually over 4 years) is available for Home/EU students. In addition, a budget for use in own responsibility will be provided.