Traffic Flow Pattern Recognition in Beijing-Tianjin-Hebei Multi-Airport Airspace-Reference-Cited by-同舟云学术

Traffic Flow Pattern Recognition in Beijing-Tianjin-Hebei Multi-Airport Airspace

Published:2024-01-01 Issue:1 Volume:9 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Ye Zhijian¹,Pang Qin¹

Affiliation:

1. School of Air traffic Management , Civil Aviation University of China , Tianjin , China .

Abstract

Abstract This paper proposes a flight data-driven model to identify air traffic flow patterns based on multi-layer cluster analysis for identifying and characterizing traffic flow patterns in the airspace of the Beijing-Tianjin-Hebei multi-airport system. The spatial and temporal trends of flight data are mined to capture the air traffic flow characteristics, and the busyness of waypoints help air traffic managers to understand the reuse status of runways and airspace for capacity planning decision support in the complex airspace of Beijing-Tianjin-Hebei.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/amns-2024-0328

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