机场终端区晴好天气容量评估方法的初步研究  

Preliminary Study on Capacity Assessment Method of Airport Terminal Area in Fine Weather

作　　者：赵鹏飞 段炼[1] 赵志 韦升 杜世杰 钱菲 ZHAO Peng-fei;DUAN Lian;ZHAO Zhi;WEI Sheng;DU Shi-jie;QIAN Fei(Civil Aviation Flight Uiversity of China,Guanghan 618000,China)

机构地区：[1]中国民用航空飞行学院,四川广汉618000

出　　处：《航空计算技术》2024年第3期58-63,共6页Aeronautical Computing Technique

基　　金：国家创新计划重点支持领域项目资助(S202110624017);四川省大学生创新创业训练项目资助(S202310624256);中国民用航空飞行学院安全保障能力提升专项基金项目资助(14002600100020J009)。

摘　　要：在我国航空运输需求迅速增长,运营压力激增的背景下,采用适当的容量评估模型对于繁忙机场的理论容量研究和机场运行规划具有重要意义。以最大流最小割定理为基础,建立了进离场航段容量模型和交叉点容量模型,并选择西安咸阳机场进行仿真验证。研究结果表明,该模型能够高度准确地预测机场容量,其预测结果接近实际运行最大小时流量的105%~110%。表明该模型在终端区容量评估方面具有出色的精确性,特别适用于晴朗天气条件下的情况。这一研究为机场管理者提供了强大的决策工具,有助于更有效地满足不断增长的航空交通需求,确保机场运行的高效性和安全性。In light of the rapid growth in air transportation demand and increasing operational pressure in China,the utilization of suitable capacity assessment models holds great importance for the research of theoretical capacity and planning of busy airports.This study builds capacity models for departure and arrival segments as well as intersections,based on the Max-flow min-cut theorem,and verifies them through simulations at Xi′an Xianyang Airport.The research findings demonstrate that the predicted capacity of the model closely aligns with 105%~110%of the actual maximum hourly flow,indicating its high accuracy.This shows that the model has excellent accuracy in terminal area capacity assessment,especially in clear weather conditions.This research provides airport managers with a powerful decision-making tool to help them more effectively meet the growing demand for air traffic and ensure efficient and safe airport operations.

关 键 词：终端区 容量评估 最大流最小割 交叉点 进离场容量 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]