References
- International Air Transport Association (IATA), "Guidance material and best practices for fuel and environmental management", International Air Transport Association, 2011, pp.83-84.
- International Civil Aviation Organization(ICAO) Doc. 9976 "Flight Planning and Fuel Management Manual", 2012, pp.4-26.
- Altus, S., "Effective Flight Plans Can Help Airlines Economize", Boeing, 2009.
- Dorneich, M, C., Olofinboba, O., Pratt, S., Osborne, D., and Feyereisen, T., "Evaluation of a Dispatcher's Route Optimization Decision Aid to Avoid Aviation Weather Hazards", NASA Langley Research Center, Hampton Virginia, 2003, pp.43-45.
- Karisch, S., Altus, S., and StojkovicGand, S., "Operations quantitative problem solving methods in the airline industry", A Modeling Methodology Handbook series. International Series in Operations Research and Management Science, 2012, pp.283-384.
- Nash, B., "A simplified alternative to current airline fuel allocation modes", Informs Journal on Applied Analytics, 11, The Institute of Management Sciences, 1981, pp. 1-9.
- Kang, L., "Changing fuel loading behavior to improve airline fuel efficiency", University of California, Berkeley, 2017, pp.7-8.
- Jensen, L. L., Tran, H., and Hansman, R. J., "Cruise Fuel Reduction Potential from Altitude and Speed Optimization in Global Airline Operations", 11th USA/Europe Air Traffic Management Research and Development Seminar, 2015, pp.1-10.
- Edwards, H. A., Dixon-Hardy, D., and Wadud, Z., "Aircraft cost index and the future of carbon emissions from air travel", Applied Energy, 164, 2016, pp.553-562. https://doi.org/10.1016/j.apenergy.2015.11.058
- Ryerson, M. S., Hansen, M., and Hao, L., "Landing on empty: Estimating the benefits from reducing fuel uplift in U.S. civil aviation", Environmental Research Letter, 10(9), 2015, pp.1689-1699.
- Wasiuk, D. K., Lowenberg, M. H., and Shallcross, D. E., "An aircraft performance model implementation for the estimation of global and regional commercial aviation fuel burn and emissions" Transportation Research Part D: Transport and Environment, 35, 2015, pp.142-159. https://doi.org/10.1016/j.trd.2014.11.022
- Pagoni, I., and Psaraki-Kalouptsidi, V., "Calculation of aircraft fuel consumption and CO2 emissions based on path profile estimation by clustering and registration", Transportation Research Part D: Transport and Environment, 54, 2017, pp.172-190. https://doi.org/10.1016/j.trd.2017.05.006
- Dagpunar, J. S., "Simulation and Monte Carlo with Applications in Finance and MCMC", John Wiley & Sons Inc, 2007, pp.157-186.
- Kroese, D. P., Thomas, T., and I., B. Z., "Handbook of Monte Carlo Methods", John Wiley & Sons, Inc. 2011, pp.85-152.
- Irvine, D., Budd, L. C. S., and Pitfield, D. E., "A Monte-Carlo approach to estimating the effects of selected airport capacity options in London", Journal of Air Transport Management, 42, 2015, pp.1-9. https://doi.org/10.1016/j.jairtraman.2014.06.005
- Pitfield, D. E., and Jerrard, E. A., "Monte Carlo comes to Rome: A note on the estimation of unconstrained runway capacity at Rome Fiumicino International Airport", Journal of Air Transport Management, 5(4), 1999, pp.185-192. https://doi.org/10.1016/S0969-6997(99)00012-5
- Stroeve, S. H., Blom, H. A. P., and (Bert) Bakker, G. J., "Systemic accident risk assessment in air traffic by Monte Carlo simulation", Safety Science, 47(2), 2009, pp.238-249. https://doi.org/10.1016/j.ssci.2008.04.003
- Peat J., and Barton B., "Medical Statistics: A Guide to Data Analysis and Critical Appraisal", Blackwell Publishing, 2008, pp.24-50.
- Filippone, A., "Comprehensive analysis of transport aircraft flight performance", Progress in Aerospace Sciences, 44(3), 2008, pp.192-236. https://doi.org/10.1016/j.paerosci.2007.10.005