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机场航班智能调度已经逐渐纳入评价机场的重要条件之一,目前机场调度规则大多还是人工决策模式。本文针对曾发生严重A类穿越事件的上海虹桥机场航班调度建立了跑道服务智能调度模型,提高了飞机调度安全和提高准点率和起降效率,与人工管理相比,极大地提高了机场的安全性能和利用率。本文建立了基于遗传算法和元胞自动机模型的目标规划模型,首先建立基本的安全等待模型,将机场抽象为有向节点图,滑行道抽象为队列结构,规定滑行道上只有节点处能停放飞机,借用元胞自动机的方法,模拟了飞机在滑行道上的运动情况。为了能较真实地模拟实际飞机的运动情况,得到更有价值的模拟数据,我们设定了一组描述飞机单向滑行和排队等待的的状态变换规则。我们重点考虑了飞机运动的起始条件,终止条件,前进条件,排队等待条件,变道条件和穿越跑道条件等,以期保障飞机起降时绝对的安全性。其次,我们建立了运行效率较高的安全等待模型,设定了准点率和起降效率的具体形式,我们用计划与起飞时间的残差和和准点的飞机与总的飞机的比值共同描述飞机的准点率,用飞机在滑行道上的等待时间描述起降效率。
Airport flight intelligent scheduling has gradually been included in the assessment of the airport one of the important conditions, the current airport scheduling rules are mostly artificial decision-making mode. This paper establishes a runway service intelligent dispatching model for Shanghai Hongqiao Airport flight dispatch which has occurred serious Class A crossing event, improves the flight scheduling safety and improves the punctuality rate and taking-off and landing efficiency. Compared with manual management, it greatly improves airport security Performance and utilization. In this paper, a target programming model based on genetic algorithm and cellular automaton model is established. First, a basic security waiting model is established. The airport is abstracted as a directed node graph. The taxiway is abstracted as a queue structure. Only the nodes on the taxiway can park the aircraft , Using cellular automaton method to simulate the movement of the aircraft on the taxiway. In order to more realistic simulation of the actual aircraft movement and get more valuable simulation data, we set up a set of state transition rules that describe the one-way taxiing and queuing waiting of the aircraft. We focused on the starting conditions, termination conditions, advancing conditions, waiting conditions for queuing, lane changing conditions and conditions for crossing the runways, with a view to ensuring the absolute safety of aircraft movements. Second, we set up a more efficient waiting model for safety and set the exact patterns of on-time and take-off and landing efficiencies. We use the ratio of the planned and departure time residuals and the on-time aircraft to the total aircraft to describe the aircraft Of the punctuality rate, with the taxi on the taxiway waiting time to describe the take-off and landing efficiency.