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A Method for Forecasting the Commercial Air Traffic Schedule in the Future
| 题名： | A Method for Forecasting the Commercial Air Traffic Schedule in the Future |
| 作者： | Long, Dou; Lee, David; Gaier, Eric; Johnson, Jesse; Kostiuk, Peter |
| 关键词： | forecast；schedule；future；sting；traffic；method；erci；comm；alternative；competition |
| 摘要： | This report presents an integrated set of models that forecasts air carriers' future operations when delays due to limited terminal-area capacity are considered. This report models the industry as a whole, avoiding unnecessary details of competition among the carriers. To develop the schedule outputs, we first present a model to forecast the unconstrained flight schedules in the future, based on the assumption of rational behavior of the carriers. Then we develop a method to modify the unconstrained schedules, accounting for effects of congestion due to limited NAS capacities. Our underlying assumption is that carriers will modify their operations to keep mean delays within certain limits. We estimate values for those limits from changes in planned block times reflected in the OAG. Our method for modifying schedules takes many means of reducing the delays into considerations, albeit some of them indirectly. The direct actions include depeaking, operating in off-hours, and reducing hub airports'operations. Indirect actions include using secondary airports, using larger aircraft, and selecting new hub airports, which, we assume, have already been modeled in the FAA's TAF. Users of our suite of models can substitute an alternative forecast for the TAF. |
| 报告类型： | 科技报告 |
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