基于动态期望的航空器滑行路径更新模型仿真

滑行路径优化是提升机场场面运行效率与安全水平的有效途径。为研究管制意图、监控范围对航空器滑行路径优化的影响,基于实际管制规定,同时考虑冲突和拥堵影响,定义优先级反映滑行道通行能力,定义动态期望值量化管制员意图,设计航空器滑行路径变更机制及实施步骤,构造基于动态期望的航空器滑行路径变更模型。采用Visual C++及Mathlab混合编程仿真,得到航空器分布密度、监控范围等参数改变时,不同模型的仿真结果对比及关键统计分析值的变化趋势。结果表明,上述模型能对低密度下的滑行道变更进行抑制,能提高中密度下的滑行道变更比例,并减少滑行速度变化幅度。扩大监控范围能有效增加航空器滑行路径变更比例,减少滑行速度标准差,提高机场场面运行保障能力。

Simulation of Aircraft Taxi Route Change Model Based on Dynamic Expectations

The taxi route optimization is an effective way to improve the efficiency and safety of the airport.In order to study the influence of control intention and monitoring range on aircraft taxi route optimization,based on actual control regulations and considering the impact of conflict and congestion,the priority was defined to reflect taxiway capacity,the dynamic expectation was defined to quantify control intention,aircraft taxiway change mechanism and implementation steps were designed,and aircraft taxi route change model based on dynamic expectation was constructed.Mixed programming with Visual C++ and Mathlab for numerical simulation,the simulation results of different models were compared and the variation trend of key statistical analysis values was obtained when the parameters such as aircraft distribution density and monitoring range change.The results show that,the model can restrain the change of taxiway at low density,improve the proportion of taxiway change at medium density and reduce the change range of taxiway speed.Expanding the range of the monitoring can effectively increase the aircraft taxi route change ratio,reduce taxing speed standard deviation,and improve the airport area operation support capability.