TRANSIT: Towards a Robust Airport Decision Support System for Intelligent Taxiing
Lead Research Organisation:
University of Sheffield
Department Name: Automatic Control and Systems Eng
Abstract
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Organisations
Publications
A. Torres-Salomao L
(2018)
Facial Temperature Markers for Mental Stress Assessment in Human-Machine Interface (HMI) Control System
A. Torres-Salomao L
(2018)
Facial Temperature Markers for Mental Stress Assessment in Human-Machine Interface (HMI) Control System
Alalaween W
(2021)
A Dynamic Type-1 Fuzzy Logic System for the Development of a New Warehouse Assessment Scheme
in IEEE Access
AlAlaween W
(2020)
An interpretable fuzzy logic based data-driven model for the twin screw granulation process
in Powder Technology
AlAlaween W
(2021)
When swarm meets fuzzy logic: Batch optimisation for the production of pharmaceuticals
in Powder Technology
Beke L
(2021)
A Comparison of Genetic Representations and Initialisation Methods for the Multi-objective Shortest Path Problem on Multigraphs
in SN Computer Science
Beke L
(2024)
Routing and Scheduling in Multigraphs With Time Constraints-A Memetic Approach for Airport Ground Movement
in IEEE Transactions on Evolutionary Computation
He C
(2021)
An Adaptive General Type-2 Fuzzy Logic Approach for Psychophysiological State Modeling in Real-Time Human-Machine Interfaces
in IEEE Transactions on Human-Machine Systems
| Description | Hitherto, we have been able to: 1. model the complex dynamics associated with several types of aircrafts; 2. devised control algorithms for optimal taxiing around airports for speed and heading; 3. we have partially been able to include fuel consumption and CO2 emissions as constraints to the controls. 4. We have been able to validate the MATLAB-SIMULINK model relating to the BOEING 747 Aircraft using one type of simulator at Cranfield University and we are in the process of transferring the MATLAB-SIMULINK model hence developed to the real-time simulator at Cranfield University to be tested by pilots using Airport maps for taxiing schedules. 5. We have been able to conduct further extensive tests at Cranfield before hardware problems occurred and we have, as a result, been able to validate our model using two airports data, namely Manchester Airport and Hong-Kong Airport. In particular, we have been able to extend our BOEING 747 model to account for the slope terrain of Manchester Airport. It is worth noting that since the last submission in 2019, we have had one Conference Paper accepted at the 2020 IEEE Aerospace Conference 14 March 2020 in the USA for which this submission will be one day late. Furthermore, we have submitted a Paper to IEEE Transactions on Transportation Systems (2020), for which we are awaiting the outcome. |
| Exploitation Route | Our findings in relation to modelling aircrafts for taxiing in airports, including the optimal control of engine speed and heading will be beneficial to other researchers who wish to apply our associated protocols in airports of their choice around the world. Furthermore, our algorithms take into account fuel consumption as well CO2 emissions will help save money and protect the environment. |
| Sectors | Aerospace Defence and Marine Digital/Communication/Information Technologies (including Software) Energy Transport |
| URL | http://www.transitproject.co.uk |
| Description | Please see impact summary of the lead grant for this project, EP/N029496/2. In addition, In the Department of Automatic Control and Systems Engineering at the University of Sheffield (UoS), I have established the Laboratory for Human Performance which investigates Human Centric Systems and Human in the Loop in Manufacturing and in Transport Systems, including environments regulated by the Civil Aviation Authority (CAA). This Laboratory ahs recently received funding from the UoS (Capital Equipment) of £29,575 following a competition for Capital Equipment. |
| First Year Of Impact | 2023 |
| Description | CMMI-EPSRC - Right First Time Manufacture of Pharmaceuticals (RiFTMaP) |
| Amount | £1,543,632 (GBP) |
| Funding ID | EP/V034723/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 08/2024 |
| Description | Future Advanced Metrology Hub |
| Amount | £10,813,543 (GBP) |
| Funding ID | EP/P006930/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 02/2024 |