枢纽机场空侧容量利用和流量分配优化模型

通过引入满意度函数,以航班流量和容量利用满意度最大化为目标,建立了机场空侧定位点流量分配和跑道容量利用的多目标优化模型。利用ILOG对模型算例进行了求解。结果表明,采用本文模型求解得到的各个定位点的整体航班需求排队队列比Gilbo模型的结果减少了10%。在研究时间段内(3 h),通过优化分配各个时间间隔(15 min)各定位点的进离港航班流量,所有航班需求得到满足且在最后的时间间隔没有产生延误队列,从而又保证了一定的容量利用满意度(h=0.75),实现了机场终端区某一特定时段内现有容量更有效的利用,减少了航班延误。     

天气影响的机场容量概率分布研究

天气是影响机场容量下降的主要因素,为了反映预测天气对容量的影响,建立了n-阶段到达容量分布模型。通过天气类型决策树将历史天气数据转换为每种天气类型的到达容量概率分布。根据天气类型的容量概率分布,用全概公式将概率天气预测转换为概率容量预测。基于5年的机场小时天气数据,对某一日的预测天气进行算例仿真,得到了一组基于预测天气的n-阶段容量概率分布。结果表明,n-阶段容量分布模型能够将机场不同时段的预测恶劣天气转换为预测随机容量,从而满足实时流量管理的需要。     

基于改进粒子群算法的机场多航班多服务调度策略

机场加油、行李和配餐等多项地面服务是航班正常运行的关键,也是机场大面积航班延误快速恢复过程重点考虑的问题.在对多航班多服务调度目标和约束条件分析的基础上,提出了多航班多服务调度模型,定义了粒子的二维表示方法,设计了一种改进粒子群算法来生成航班调度方案,并针对国内某机场的航班数据进行了仿真实验,结果表明,该算法与基本粒子群算法、进化策略相比,有明显优势,可极大地提高多航班多服务调度水平和机场地面服务效率.     

基于贝叶斯网络的航班延误传播分析

 由于机场航班之间存在前后衔接关系,每个航班的延误会波及到下游机场及其航班,因此需要一种有效手段来分析航班衔接时的延误传播。贝叶斯网络（BN）是一种有效的传播分析方法,从某个枢纽机场航班延误出发,对其关联机场的衔接航班的延误影响进行分析,提出了基于BN的航班延误传播模型。结合某航空公司实际数据,通过最大期望值算法对模型进行训练,给出了测试结果。实验表明,所提出的方法能有效地分析航班延误从局部到全局的传播。     

航班起降波形分类及特征研究

以OAG航班计划数据为基础,对全球大型机场日客运航班的起降波形进行分析并归纳分类,得出锯齿形、梯形、早晚高峰形和叠加形4类航班波.同时,提出4个特征指标用于对航班起降波形进行评估,分别为高峰起降航班占比率、飞行架次标准差比值、高峰起降间隔时间和降落-起飞高峰配对数.以我国旅客吞吐量排名前10位的机场为例,分析各机场航班起降波形及其特征指标.研究结果表明:我国大型机场客运航班起降波形以早晚高峰形航班波为主,高峰起、降航班占比率均值分别为64.1％和59.0％,飞行架次标准差比值为0.12,日间运行时段尚未形成明显的降落-起飞高峰配对,与国际大型枢纽机场航班运作模式尚有一定差距.     

首都机场终端区多进港队列排序优化策略与仿真

在现行可用空域中，通过流量管理策略与进港航班队列优化相结合可提高机场运行容量。以终端区航路航线间隔和扇区容量为约束，通过合理分配机场终端区边界的进港口流量．以总进场排队等待时间最短为目标，提出了协同调配流量和机动分流两种新策略，达到提高机场运行效率的目的。以首都机场为例，利用计算机仿真验证，结果表明：与现状运行相比较采用的优化策略排队进场可使进场延误和等待时间减少，并使离场正常率提高8％左右。     

Cracking and Mechanical Properties of Airport Concrete Pavement with Fiber and Expansive Agent

Polypropylene fiber and expansive agent are used in airport concrete to improve its shrinkage cracking resistance and mechanical properties. The concrete specimens with amount content of polypropylene fiber or expansive agent or both of them are prepared. The morphology of specimens is observed by scanning electron microscope, the time when the first crack occurred is recorded through slap test, and the mechanical properties such as compressive strength and impact energies of concrete are measured. The results show that polypropylene fiber in concrete can reduce the shrinkage and delay the first crack, improve the impact resistance obviously, and improve the compressive strength slightly. Expansive agent can compensate the shrinkage and reduce cracks of concrete pavement markedly, and improve the mechanical properties of concrete pavement slightly. The study provides recommendations for cracking control of airport concrete pavement in the future.     

基于无线传感器网络的机场特种车定位算法研究

机场停机坪内特种车辆的定位是机场场面监控的重要部分,基于无线传感器网络实现对机场特种车辆的实时定位。针对RSSI值易受环境影响问题,采用高斯模型对采集的RSSI值进行筛选,通过空间补偿模型将节点映射到同一平面,并提出了修正加权质心定位算法,修正权重系数,提高定位精度。仿真结果表明,该算法能够满足机场特种车定位精度的要求。     

廊坊借势首都新机场建设发展空港经济人才培养的战略思考

首都新机场的建设注定要为廊坊的发展带来巨大的发展机遇。本文主要探讨了新机场临空经济背景下，廊坊如何做好各类必备高端人才的培养与引进，从而充分利用人才战略发挥新机场对廊坊的全面拉动作用，服务区域经济。     

Empirical analysis of airport network and critical airports

Air transport network, or airport network, is a complex network involving numerous airports. Effective management of the air transport system requires an in-depth understanding of the roles of airports in the network. Whereas knowledge on air transport network properties has been improved greatly, methods to find critical airports in the network are still lacking. In this paper, we present methods to investigate network properties and to identify critical airports in the network. A novel network model is proposed with airports as nodes and the correlations between traffic flow of airports as edges. Spectral clustering algorithm is developed to classify airports. Spatial distribution characteristics and intraclass correlation of different categories of airports are carefully analyzed. The analyses based on the fluctuation trend of distance-correlation and power spectrum of time series are performed to examine the self-organized criticality of the network. The results indicate that there is one category of airports which dominates the self-organized critical state of the network. Six airports in this category are found to be the most important ones in the Chinese air transport network. The flights delay occurred in these six airports can propagate to the other airports, having huge impact on the operation characteristics of the entire network. The methods proposed here taking traffic dynamics into account are capable of identifying critical airports in the whole air transport network.