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Data and queueing analysis of a Japanese air-traffic flow
Institution:1. Institute for Operations Research, University of Hamburg, Germany;2. Electronic Navigation Research Institute, Tokyo, Japan;1. Department of Business Administration, University of Barcelona, Av. Diagonal 690, 08034 Barcelona, Spain;2. Manchester Business School, University of Manchester, Booth Street West, M15 6PB Manchester, UK;1. Saint-Petersburg State University, Faculty of Applied Mathematics, Universitetskii prospekt 35, 198504 Petergof, Saint-Petersburg, Russia;2. CentER, Department of Econometrics & Operations Research, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, The Netherlands;1. School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China;2. School of Economics and Management, Beihang University, Beijing 100191, China;3. Department of Environmental Management, Tokyo City University, Yokohama 224-8551, Japan;4. School of Applied Sciences, Cranfield University, Cranfield, Bedford MK43 0AL, UK
Abstract:Congestion is a major cause of inefficiency in air transportation. A question is whether delays during the arrival phase of a flight can be absorbed more fuel-efficiently in the future. In this context, we analyze Japan’s flow strategy empirically and use queueing techniques in order to gain insight into the generation of the observed delays. Based on this, we derive a rule to balance congestion delays more efficiently between ground and en-route. Whether fuel efficiency can be further improved or not will depend on the willingness to review the concept of runway pressure.
Keywords:Queueing  Applied probability  Air traffic management
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