基于着陆轮迹测试的机场交通量平面分布模型  

Plane distribution model of airport traffic volume based on landing wheel trace test

作　　者：石鑫刚 蔡良才[1] 王观虎[1] SHI Xingang;CAI Liangcai;WANG Guanhu(College of Aeronautical Engineering,Air Force Engineering University,Xi’an 710038,China)

机构地区：[1]空军工程大学航空工程学院,西安710038

出　　处：《中国民航大学学报》2020年第5期23-28,共6页Journal of Civil Aviation University of China

基　　金：国家自然科学基金项目(51578540)。

摘　　要：在分析机场交通量特点基础上,提出纵向通行因子概念。基于飞机着陆轮迹分布实测数据,对机场交通量横向和纵向分布规律进行统计分析,提出机场交通量平面分布模型。以某机场为例仿真验证了该模型可评价道面任意点的交通量,并分析了跑道长度、两端起降概率、轮迹分布标准差对交通量平面分布模型的影响。结果表明:跑道长度主要影响跑道中部范围的轮迹纵向叠加;两端起降概率主要影响跑道两端轮迹分布的均匀性;轮迹分布标准差影响轮迹横向叠加效应,轮迹分布标准差越小,最大覆盖作用次数越大。Basing on analyses of airport traffic volume characteristics,the longitudinal traffic factor is proposed.Supported by the measured data of aircraft landing wheel traces,the horizontal and longitudinal distribution of airport traffic is statistically analyzed and a plane distribution model of airport traffic is put forward.A simulation example of an airport shows that the model can evaluate the traffic volume at any point on the pavement.What’s more,the effects of runway length,take-off and landing probability and standard deviation of wheel trace distribution on the plane distribution of traffic volume are also analyzed.The length of runway mainly affects the longitudinal overlap of wheel traces in the middle of the runway.The probability of takeoff and landing mainly affects the uniformity of wheel traces distribution at both sides.The standard deviation of wheel traces distribution influences the lateral overlap effect of wheel traces.The smaller the standard deviation of wheel traces distribution,the greater the number of maximum coverage effects.

关 键 词：机场工程 轮迹分布测试 纵向通行因子 交通量平面分布模型 影响因素 

分 类 号：V351[航空宇航科学与技术—人机与环境工程]