A critical step in developing good traffic management (ATM) system simulation model is to build a kinematic model of an aircraft movement that can represent the actual conditions. This study aims to obtain flight parameters for aircraft operating in the terminal control area of Soekarno-Hatta International Airport using Automatic Dependent Surveillance-Broadcast (ADS-B) data, which is openly available on Flight Radar24. Flight parameters were measured for several flight phases, such as take-off, initial climb, climb, cruise, descend, and final approach. In addition to these flight phases, flight parameters at waypoints on the arrival and departure were also measured. Furthermore, all flight parameters are modeled stochastically through the probability distribution function (PDF) approach. The best model for each parameter is obtained using the Maximum Likelihood method (MLE) with some relevant Kosmolgrove Smirnov Test criteria. The use of ADS-B data along with the stochastic model presented in this paper provides comprehensive information on flight behavior, which can be further utilized for an aircraft simulation model of an Air Traffic Management system.

开发良好的交通管理 (ATM) 系统仿真模型的一个关键步骤是建立一个能够代表实际情况的飞机运动的运动学模型。本研究旨在使用自动相关监视广播 (ADS-B) 数据获取在苏加诺-哈达国际机场终端控制区运行的飞机的飞行参数，该数据可在 Flight Radar24 上公开获得。在几个飞行阶段测量飞行参数，例如起飞、初始爬升、爬升、巡航、下降和最后进近。除了这些飞行阶段，还测量了到达和离开航路点的飞行参数。此外，所有飞行参数都通过概率分布函数 (PDF) 方法随机建模。每个参数的最佳模型是使用最大似然法 (MLE) 和一些相关的 Kosmolgrove Smirnov 检验标准获得的。使用 ADS-B 数据以及本文提出的随机模型提供了有关飞行行为的综合信息，可进一步用于空中交通管理系统的飞机仿真模型。