Integrating and Automating Airport Operations: Project Outputs from PESRI

EPSRC Funded Project EP/H004424/1: Integrating and Automating Low Carbon Airport Operations. Collaborating companies: Manchester and Zurich Airports Principal Investigators: Professor Edmund Burke, Professor Paul Stewart 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 […]

A Heuristic Approach to Greener Airport Ground Movement at: 2014 IEEE Congress on Evolutionary Computation

 Paper ID:   14325     Author(s):  Michal Weiszer (1), Jun Chen (1), Stefan Ravizza (2), Jason Atkin (2) and Paul Stewart (3)     Title:      A Heuristic Approach to Greener Airport Ground Movement has been selected for oral presentation at the 2014 IEEE Congress on Evolutionary Computation. A final conference schedule will be posted on the conference web site:     http://www.ieee-wcci2014.org/program.htm (1) […]

Towards a More Cost Effective and Environmentally Friendly Airport Surface Movement through Active Routing and Guidance

Jun Chen and Michal Weiszer – University of Lincoln UK Paul Stewart – University of Hull: email p.stewart@hull.ac.uk This research is funded by the EPSRC Project: EP/H004424/2Integrating and Automating Airport Operations View the presentation here: https://drive.google.com/file/d/0B_vGXYVS2P5PWTZCaExmcGo0eWs/edit?usp=sharing

Seminar: Towards a More Cost Effective and Environmentally Friendly Airport Surface Movement through Active Routing and Guidance

Department of Computer Science, University of Stirling, May 9th 2014 Dr Jun Chen (University of Lincoln), Dr Michal Weiszer (University of Lincoln), Prof Paul Stewart (University of Hull) Towards a More Cost Effective and Environmentally Friendly Airport Surface Movement through Active Routing and Guidance The Airport Surface Movement problem is one of the challenging real-world optimisation […]

Aircraft taxi time prediction: comparisons and insights

Aircraft taxi time prediction: comparisons and insights 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 Official URL: http://dx.doi.org/10.1016/j.asoc.2013.10.004 Abstract The predicted growth in air transportation and the ambitious goal of the European Commission to have on-time performance of flights within 1 […]