Examining Arrival Time Predictability in the NAS using Monte Carlo Methods
Examining Arrival Time Predictability in the NAS using Monte Carlo Methods
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The Next Generation Air Transportation System (NextGen) implementation plan articulates that NextGen will become a better way of doing business because travel will be come more predictable [1]. This is important because predictably of flight operational events, in particular flight arrival times, have a significant impact on direct operating cost to the airline industry and passengers and an indirect effect on the economy [2, 3]. Uncertainty in flight arrival times causes carriers to increase their scheduled gate-to-gate times (schedule block times) by adding a buffer (or pad), a practice called schedule padding. Airlines claim that improvements to arrival time predictability could add revenue flights to their schedules without the cost of aircraft acquisitions [4].
Document information
Examining Arrival Time Predictability in the NAS using Monte Carlo Methods
2012
7 pages
Report
No indication
English
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