出发管理:节省出租车时间、燃油消耗和排放

S. Stroiney, B. Levy, C. Knickerbocker
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引用次数: 6

摘要

离场管理有望改善跑道吞吐量,减少排队长度、滑行时间、燃油消耗和排放。Sensis公司正在开发的一种离境管理工具(DMAN)通过控制飞机从登机口退回或进入机场移动区域的时间来实现这些好处。DMAN自动确定每个航班的滑行许可和起飞时间,并允许用户根据需要修改此时间表。该工具集成了现有的信息源和其他决策支持工具,需要最小的设备投资和最小的操作实践更改。因此,离境管理的效率效益在今天是可以实现的。我们通过对两个机场——约翰·肯尼迪国际机场(JFK)和费城国际机场(PHL)进行为期一天的交通模拟,评估使用离境管理工具可能带来的好处。对于每个机场,我们模拟两个场景。第一个基线是起飞飞机以先到先得的方式在跑道上滑行和排队,与目前的机场运作相对应。通过与记录的监测数据进行比较,验证了该模型的定量准确性。在第二种模拟场景中,DMAN用于在登机口保持飞机并调整离场顺序。比较两种情况下的滑行时间、燃油消耗、排放和总体延迟,我们发现在使用DMAN工具时,所有这些指标都有了实质性的改善。
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Departure management: Savings in taxi time, fuel burn, and emissions
Departure management holds the promise of improved runway throughput and reduced queue length, taxi time, fuel burn, and emissions. A departure management tool (DMAN) in development at Sensis Corporation achieves these benefits by controlling the times at which aircraft push back from the gate or enter the airport movement area. DMAN automatically determines times for taxi clearance and take-off for each flight, and allows users to modify this schedule as desired. This tool integrates with existing information sources and other decision support tools, requiring minimal equipment investment and minimal changes to operational practice. Therefore, the efficiency benefits of departure management are achievable today. We evaluate the likely benefits of using a departure management tool by performing day-long simulations of traffic at two airports - John F. Kennedy International Airport (JFK) and Philadelphia International Airport (PHL). For each airport, we simulate two scenarios. The first is a baseline in which departures taxi and queue at the runway on a first-come-first-served (FCFS) basis, corresponding to airport operations today. The quantitative accuracy of this model is validated by comparing to recorded surveillance data. In the second simulated scenario, DMAN is used to hold aircraft at the gate and to adjust the departure sequence. Comparing taxi times, fuel burn, emissions, and overall delay between the two scenarios, we find substantial improvement in all of these measures when the DMAN tool is in use.
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