Air Traffic Trajectory Operation Mode Mining Based on Clustering

Rapid Prediction of Air Traffic for Trajectory Based Operations

Motivated by the fact that air traffic predictions will play a central role in the nextgeneration air transportation system, this research examines the feasibility of developing a computational appliance for rapid prediction of aircraft trajectories. The feasibility demonstration followed a two-pronged strategy of accelerating the trajectory propagation algorithms in an air traffic simulation e...

Shape-based Trajectory Clustering

Automatic trajectory classification has countless applications, ranging from the natural sciences, such as zoology and meteorology, to urban planning and sports analysis, and has generated great interest and investigation. The purpose of this work is to propose and test new methods for trajectory clustering, based on shape, rather than spatial position, as is the case with previous methods. The...

4d Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory

To resolve the problem of future airspace management under great traffic flow and high density condition, 4D trajectory estimation has become one of the core technologies of the next new generation air traffic control automation system. According to the flight profile and the dynamics models of different aircraft types under different flight conditions, a hybrid system model that switches the a...

Trajectory Pattern Mining via Clustering based on Similarity Function for Transportation Surveillance

Recently, surveillance on moving vehicles for traffic flow monitoring has emerging in rapid rate. A comprehensive traffic data, that is vehicle trajectory, is selected as reliable data for discovering the underlying pattern via trajectory mining. As the task of monitoring moving vehicles via vehicle trajectory dataset can be tedious, researchers are keen to provide solutions that reducing the t...

Sampling-based Sub-Trajectory Clustering