跑道容量的概率模型及容量曲线

基金项目:

中国民航总局科研项目 2002-60

Runway capacity probility model and capacity curve

1.
School of Traffic and Transportation, Southwest Jiaotong University, Chengdu 610031, China
2.
China Civil Aviation Flight College, Guanghan 618307, China

摘要: 跑道容量通常可用跑道容量曲线来表示, 它表示了起飞着陆容量间的相互制约关系。从管制员的工作角度出发, 以ASAC容量模型为基础建立了跑道容量的概率模型及其C语言实现, 以实际机场统计数据, 对单跑道容量曲线进行了计算和分析。模型计入了管制规则、进近(起飞) 速度、位置不确定性、风速、跑道占用时间、机型组合等随机变量的影响
- 跑道容量曲线 /
- 流量管理 /
- 数学模型 /
- 概率论
Abstract: Runway capacity can be presented by capacity curve, which reveals the interdependent relationship between landing and departure.From the viewpoint of controller, this paper establishes a runway probility capacity model based on ASAC model, presents capacity analysis and calculation result based on the data from an operational airport. The model considers following parameters: ATC regulation, approach (departure) speed, position uncertainty, wind speed, runway occupation time, traffic mix etc.
- runway capacity curve /
- flow management /
- mathematic model /
- probility theory

图 1 跑道容量曲线

Figure 1. Runway capacity curve

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表 1 最小着陆、起飞间隔

Table 1. Tab.1 The minimium landing and takeoff traffic gap

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表 2 某机场运行数据(FAA标准中B757为重型机)

Table 2. Tab.2 The operating data from an airport (in FAA B757 Belong to Heavy)

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表 3 各种因素对跑道最大着陆容量的影响

Table 3. Tab.3 The influence parameters to maximium landing capacity

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