Heterogeneous air traffic flow modeling and congestion mechanism clarification

异构空中交通流建模及拥堵机制阐明

• 批准号: 20K14855
• 负责人: アンドレエバ森 アドリアナ
• 金额: $ 2.5万
• 依托单位: Japan Aerospace EXploration Agency
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2020
• 资助国家: 日本
• 起止时间: 2020-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20K14855/
• 关键词: cellular automata; air traffic flow; model; radar data; route mapping; merge; new entrants; mixed air traffic; supersonic transport; air traffic flow model

Actual track data is used to investigate the potential of cellular automata (CA) in air traffic modeling. Flight trajectories are mapped on nominal flight routes. The cell sizes are determined based on the flight stage, with two groups- enroute and descent being modeled separately for better accuracy. Cell size is calculated based on non-vectored flight lateral trajectories, so that non-vectored flights proceed one cell per unit time. Comparison between vectored and non-vectored trajectories and their speed profiles when modeled in CA reveals that CA can be applied successfully to model both congested and non-congested arrival traffic. Furthermore, merging routes are also investigated and it is shown that air traffic controllers consider merging traffic past a certain threshold only.

实际航迹数据用于研究元胞自动机 (CA) 在空中交通建模中的潜力。飞行轨迹绘制在标称飞行路线上。单元大小是根据飞行阶段确定的，为了获得更好的精度，分别对两组（途中和下降）进行建模。单元大小是根据非矢量飞行横向轨迹计算的，因此非矢量飞行每单位时间飞行一个单元。在 CA 中建模时，矢量和非矢量轨迹及其速度曲线之间的比较表明，CA 可以成功地应用于对拥塞和非拥塞到达交通进行建模。此外，还对合并航线进行了调查，结果表明空中交通管制员仅考虑超过特定阈值的合并交通。

项目成果

Preliminary Parameter Investigation for Cellular Automata Air Traffic Flow Modelling

元胞自动机空中交通流建模的初步参数研究

• 发表时间: 2021
• 作者: Adriana Andreeva