Integrating and Automating Airport Operations EPSRC Grant: EP/H004424/2 2011 – 2014
PI Prof Paul Stewart, with Stirling University, Manchester and Zurich Airports
This project emerged from the Research Councils’ Energy Programme Sandpit in Airport Operations held at Shrigley Hall, Cheshire between 10-14 November 2008. It represents a wide ranging multi-disciplinary and cross-institutional initiative to exploit recent research advances in automated search methodologies and decision support techniques for air operations (and other related areas). This project opens up a range of exciting and ambitious research directions in the crucially important area of airport operations. The proposed programme of research will build integrated computational models of four key airport operations: Take-off scheduling, Landing Scheduling, Gate Assignment and Baggage flow.
- Ravizza S., Chen J., Atkin J., Burke E. and Stewart P., “The trade-off between taxi time and fuel consumption in airport ground movement”, Springer-Verlag Journal of Public Transport Planning and Operations, ISSN: 1866-749X (print version), ISSN: 1613-7159 (electronic version), DOI 10.1007/s12469-013-0060-1, Volume 5, Issue 1 (2013), Page 25-40
- Ravizza, Stefan and Chen, Jun and Atkin, Jason A. D. and Stewart, Paul and Burke, Edmund K. (2014) Aircraft taxi time prediction: comparisons and insights. Applied Soft Computing, 14 (c). pp. 397-406. ISSN 1568-4946
- Jun Chen, Michal Weiszer, Paul Stewart and Masihalah Shabani, (2015) ‘Towards a More Realistic, Cost Effective and Greener Ground Movement through Active Routing: Part 1-Optimal Speed Profile Generation’, IEEE Transactions on Intelligent Transportation Systems, Issue 99, pp 1-14, ISSN: 1524-9050, DOI: 10.1109/TITS.2015.2477350, November 2015-11-18
- Michal Weiszer, Jun Chen, Paul Stewart (2015), A real-time Active Routing approach via a database for airport surface movement. Transportation Research Part C: Emerging Technologies, Volume 58, Part A, September 2015, Pages 127–145 DOI: 10.1016/j.trc.2015.07.011
- Jun Chen, Michal Weiszer, Giorgio Locatelli, Stefan Ravizza, Jason A. Atkin, Paul Stewart and Edmund Burke, (2016) ‘Towards a More Realistic, Cost Effective and Greener Ground Movement through Active Routing: Part 2-A Multi-Objective Shortest Path Approach’ , IEEE Intelligent Transportation Systems, December 2016, 17(12):3524-3540) Digital Object Identifier 10.1109/TITS.2016.2587619
- Chen J and Stewart P. “Planning Aircraft Taxiing Trajectories via a Multi-Objective Immune Optimisation” The 7th International Conference on Natural Computation and 8th International Conference on Fuzzy Systems and Knowledge Discovery, 26-28 July 2011, Galaxy Hotel, Shanghai, China.
- Jun Chen, Stefan Ravizza, Jason A. D. Atkin, and Paul Stewart, “On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports”, ATMOS 2011 – 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization and Systems, Sept 8th, 2011, Saabrucken, Germany.
- Stefan Ravizza, Jun Chen, Jason A. D. Atkin, Edmund K. Burke, Paul Stewart, ‘The trade-off between taxi time and fuel consumption in airport ground movement’, Conference on Advanced Systems for Public Transport (CASPT12), Santiago, Chile, 23-27 July, 2012.
- Michal Weiszer, Jun Chen, Stefan Ravizza, Jason Atkin, Paul Stewart, “A heuristic approach to greener airport ground movement”, 2014 IEEE Congress on Evolutionary Computation (CEC14), pp. 3280-3286, 06 – 11 Jul 2014, Beijing, China
- Michal Weiszer, Jun Chen, Stefan Ravizza, Jason Atkin, Paul Stewart, “Towards airport green ground movement using multi-objective, multi-component optimisation and heuristic”, 2014 IEEE World Congress on Computational Intelligence WCCI2014, Beijing, China, July 6-11, 2014
- Jun Chen, Michal Weiszer, Paul Stewart, ‘Optimal Speed Profile Generation for Airport Ground Movement with Consideration of Emissions’, IEEE 18th International Conference on Intelligent Transportation Systems, Canary Islands, Spain, 15-18 September, 2015
- Jun Chen, Michal Weiszer, Paul Stewart, ‘Preference-based evolutionary algorithm for airport runway scheduling and ground movement optimisation’, IEEE 18th International Conference on Intelligent Transportation Systems, Canary Islands, Spain, 15-18 September, 2015