TRANSIT: a new airport system to save time, money and carbon emissions.
Aviation engineering specialists have secured £1 million research grant to develop a pioneering new aircraft routing and scheduling system that could see operations increase by 50% at some of the world's busiest airports.
Funded by the UK's EPSRC (Engineering at Physical Sciences Research Council), the new TRANSIT (Towards a Robust Airport Decision Support for Intelligent Taxiing) project will involve a number of researchers, including Professor Mahdi Mahfouf from the Department of Automatic Control and Systems Engineering at the University of Sheffield and will be led by the University of Lincoln. It will see researchers and industry experts working together for three years to develop a new on-the-ground system that will reduce aeroplane taxi times, operating costs and environmental impact at airports around the world.
For TRANSIT, which was ranked first by the EPSRC Prioritisation Panel, the University of Sheffield was awarded £234,537 over 3 years. The Sheffield lead, Professor Mahdi Mahfouf, will work closely with the Co-Investigator, Emeritus Professor David Allerton, a well-known expert inflight simulation and aircraft dynamics, to address the nonlinear modelling aspects of aircraft engines using fuzzy logic technology in which the Sheffield lead has had an established international reputation since the 1980's.
Professor Mahfouf added:
"Dr Jun Chen was my former PhD student at ACSE who earlier studied fuzzy modelling and optimisation and I feel very proud of being associated with him again within the framework of this exciting project which promises to lead to ground-breaking research with signifcant impact for all industries concerned".
With increasing global demand for air travel and overloaded airport facilities, the inefficient movement of aeroplanes - or airpot taxiing operations - is identified as a major contributor to unnecessary fuel burn and a substantial source of pollution. TRANSIT research will have the potential to incease airport capacity, while reducing the environmental immpact of the growing aviation sector.
The project is in collaboration with University of Sheffield, University of Stirling and Cranfield University, and also involves major industry partners, including Rolls Royce, Air France KLM, BAE Systems, Manchester Airport and Zurich Airport.
Dr Jun Chen, an expert in artificial intelligence and control systems form the University of Lincoln's School of Engineering and Prnicipal Investigator for TRANSIT, said:
"There is an imminent need to make better use of exisiting aviation infrastructure as air traffic is predicted to increase 1.5 times by 2035. As many airports are operating at or near to maximum capacity, we understand that infrastructure must be improved. In addition, inefficient operations lead to delays, congestion, and increased fuel costs and noise levels inconveniencing all stakeholders, including airports, airlines, passengers and local residents. "
"Ensuring efficient movement of aircraft on the ground is a key way to save time, reduce costs and improve carbon emissions, so the critical problem we need to address is the balancing of these conflicting objectives. By modelling aircraft and their movements more accuratley,we believe that highly efficient taxi routes can be generated while still maintaining safety standards. TRANSIT aims to develop realistic and cost-effective methodologies in order to build a system capable of making intelligent decisions to meet these multiple objectives."
Dr Michael Weiszer, Research Co-Investigator for TRANSIT and Research Fellow at the University of Lincoln, and Dr Chen, have previously published extensive research into ways of calculating the quickest and most fuel efficient routes for moving aircraft on the ground. In the academic journals Transportation Research and IEEE Transactions on Intelligent Transportation Systems, they investigated different aspects of a decision support system for taxiing aircraft such as efficient speed instructions and pre-computation of optimal routes.
The TRANSIT project will build on this work and produce a new algorithm to quickly compute the most suitable route for guiding aircraft from one location to another, using data form airports around the world. Once it has been built, the algorithm will then be tested by professional pilots using a cutting edge simulator at Cranfield University. It is hoped that he TRANSIT system will eventually be adaptable for different sized airports all over the world, and could even pave the way for automated taxiing.
Dr Weiszer said:
"The routing ad scheduling of aircraft ground movements is a critical issue for the aviation industry. Although ground movement represents only a small fraction of the overall flight, the inefficient operation of aircraft engines at taxiing speed can account for a significant fuel burn. This applies particularly at larger airports, where ground manoeuvres are more complex. It is estimated that fuel burnt during taxiing alone represents up to 6% of fuel consumption for short-haul flights, resulting in 5m tonnes of fuel burnt per year globally."
"This obviously creates a large financial as well as environmental cost, so we hope to build a robust system that will have a significant impact on these figures."
The TRANSIT research will take into account engine performance, airframe dynamics and uncertainty related to air traffic; all of which are limitations currently ignored when routing and scheduling aircraft.
The University of Lincoln has been awarded more than £394,000 from the total research grant for tasks including the generation of optimal speed instructions for different aircraft, the development of a decision making framework, real-time software implementation, experimental design and piloted trials. The research will commence in July 2016.
More information about the project available here.