Browsing by Author "Wong, JT"

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An optimization model for assessing flight technical delay
(2002-06-01)
Wong, JT
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Li, SL
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Gillingwater, D
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運輸與物流管理系註：原交通所+運管所
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Department of Transportation and Logistics Management
This paper identifies the causes as well as the practical measurement of aircraft flight delays. The performance of air traffic management is measured by examining technical delays and scheduled timetable delays, which are derived from a mathematical programming model. To validate the optimization model, flight delays are simulated under various service rules. The outcome of the simulation runs shows that the average delay for each aircraft estimated from the optimization model is marginally higher than that from the simulation run under the "first come first serve" rule. However, under the "arrival flight first" rule, the optimization model's results are either higher or lower than those of the simulation model. Nonetheless, both sets of simulated delays are strongly correlated with those of the optimization model. Results from regression analyses show that the optimization model has the capacity to predict flight technical delays.
Development and application of an airport terminal simulation model - A case study of CKS Airport
(1998)
Wong, JT
;
Liu, TC
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運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
Technology advancement, terminal user behavior and changes of service characteristics of terminal facilities all have great impact on airport terminal operations. Consequently, the adequacy of traditional airport terminal planning concepts and standards have recently been challenged and are worth being explored. To investigate the associated impact of environmental changes on terminal operations, a simulation model which takes into consideration air travel patterns, facility operational characteristics, flight delays, passenger behavior and needs, etc, is developed and verified. The simulation logic and results show that the model works well for the case of CKS (Chiang Kai-Shek International Airport, Taipei) operations. Also, the exploration demonstrates that passenger arrival patterns, numbers of group passengers, flight delays and load factors all have very significant influences on terminal space requirements. This result strongly suggests that local characteristics should not be neglected in planning terminal operations.