DERI Seminar- Automating Airport Surface Operations through Multi-Objective Decision Support
When: Thursday, February 24, 2022, 11:00 AM - 12:00 PM
Where: Zoom
Speaker: Dr Jun Chen, Reader in Intelligent Systems Engineering at QMUL
Please join us on the 24th February when Dr Jun Chen, Reader in Intelligent Systems Engineering at QMUL will be presenting on Automating Airport Surface Operations through Multi-Objective Decision Support
Zoom: https://qmul-ac-uk.zoom.us/j/81148100921
Abstract: With increasing demand for air travel and overloaded airport facilities, inefficient airport taxiing operations are identified as a significant contributor to unnecessary fuel burn and a substantial source of pollution. The critical problem is the allocation of taxi routes to aircraft that balance conflicting objectives of taxi times, costs and emissions, independent of airport topology or day-to-day operations. The trade-offs between these objectives reflect the interests of the different stakeholders: airports, airlines, passengers and local residents. The problem is interdisciplinary and multi-dimensional as the efficiency of airport operations depends on aircraft dynamics, airport layout, departing and arriving air traffic, and constraints including weather, air regulations and pilot-in-the-loop interaction. By modelling aircraft and their movements accurately, more efficient taxi routes can be generated than the manual or automated methods currently in use, while still maintaining safety standards. This talk focuses on the development of such a system by employing realistic, robust, cost-effective and reconfigurable multi-objective decision support methodologies. The proposed methodologies have been validated through complex ground handling problems at major airports to reduce taxi times, operating costs and environmental impact.
Profile：Dr Jun Chen is Reader in Intelligent Systems Engineering at QMUL. He received his PhD degree from the University of Sheffield and has published more than 60 scientific papers in areas of multi-objective optimisation, interpretable fuzzy systems, data-driven modelling, and intelligent transportation systems. From 2020, he serves as a full member of the EPSRC Peer Review College. From 2018, he is awarded Turing Fellow by the national artificial intelligence research institute – the Alan Turing Institute.