机场飞行区航空器与除冰车协同优化调度方法

针对现行“先到先服务”的机场除冰车调度方式效率不高的问题。以最小化除冰车行驶总距离和航空器等待总时间为目标函数,构建机位除冰车辆和航空器协同调度模型,并提出一种改进的遗传算法对模型进行求解。采用西安机场某天142条航班数据进行仿真实验,并与随机调度算法和贪心算法进行比较。结果表明,改进的遗传算法相较于随机调度算法和贪心算法分别节约15.23%和7.81%的行驶总距离,且航空器等待除冰时间大幅度减少。证明了所提算法在指导除冰车作业方面的优越性。

Cooperative Optimal Scheduling Method of Aircraft and Deicing Vehicle in Airport Flight Area

The current "first come, first serve" airport deicing vehicle scheduling method is inefficient. Taking minimizing the total distance of the deicing vehicle and the total waiting time of the aircraft as the objective function, the cooperative scheduling model of the stand deicing vehicle and the aircraft is constructed, and an improved genetic algorithm is proposed to solve the model. The simulation experiment was carried out with 142 flight data of Xi''an airport, and compared with random scheduling algorithm and greedy algorithm. The results show that compared with random scheduling algorithm and greedy algorithm, the improved genetic algorithm saves 15.23% and 7.81% of the total travel distance respectively, and the aircraft waiting time for deicing is greatly reduced. The superiority of the proposed algorithm in guiding the operation of deicing truck is proved.