机场地面保障服务车辆协同调度和仿真优化

Research on Collaborative Scheduling Techniques and Simulated Optimization of Airport Ground Service Resources

为实现大型机场地面保障服务高效化、智能化运行管理,通过研究多航班、多种地服车辆、多车场、带容量时间窗的复杂车辆路径规划问题,构建地服资源协同调度模型。结果表明,根据航班到达规律和机位分布情况,基于分解的高维进化算法求解效果较好,得到车辆使用数少、行驶距离短、超出时间窗惩罚函数最小和任务均衡的四维多目标优化问题的调度优化方案;通过Anylogic仿真软件验证,可实现机位占用情况、车辆使用情况动态分配和监控。

In order to provide efficient and intelligent service for Airport Ground operations,according to the different demand optimization models of multi-depot,multi-vehicle,multi-flight,and multi-objective-allocation in actual operation,collaborative scheduling was proposed.The results show that MOEA/D algorithm completes the 4-dimensional multi-objective vehicle routing problem of vehicle volume,travel distance,time window penalty function,and service variance between vehicles;the dynamic allocation and monitoring of the parking occupancy and vehicle usage can be realized through the simulation Anylogic experiments.