TY - JOUR
T1 - A dynamic air traffic model for analyzing relationship patterns of traffic flow parameters in terminal airspace
AU - Xu, Yan
AU - Zhang, Honghai
AU - Liao, Zhihua
AU - Yang, Lei
N1 - Publisher Copyright:
© 2016 Elsevier Masson SAS.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - This paper provides a special view on air traffic flow parameters and presents certain influences from airspace to traffic flow characteristics. Based on statistics on measurement radar data within terminal airspace, we obtain time distributions and interrelationships of the basic parameters, and accordingly divide traffic flow states into 3 phases: free flow, mild-controlled and strong-controlled flow. Through analyzing characteristics shown in different phase states, as well as aircraft performing in real airspace operations, we establish dynamic models to describe potential behaviors including following, holding and maneuvering, while programing them into simulation tools. Relationship patterns are validated by comparison analysis on the similar simulation results against measurement data. Taking air route adjustment as simulation example, we conduct experiments on airspace elements that may have effects on traffic flow, with further discussing on possible reasons.
AB - This paper provides a special view on air traffic flow parameters and presents certain influences from airspace to traffic flow characteristics. Based on statistics on measurement radar data within terminal airspace, we obtain time distributions and interrelationships of the basic parameters, and accordingly divide traffic flow states into 3 phases: free flow, mild-controlled and strong-controlled flow. Through analyzing characteristics shown in different phase states, as well as aircraft performing in real airspace operations, we establish dynamic models to describe potential behaviors including following, holding and maneuvering, while programing them into simulation tools. Relationship patterns are validated by comparison analysis on the similar simulation results against measurement data. Taking air route adjustment as simulation example, we conduct experiments on airspace elements that may have effects on traffic flow, with further discussing on possible reasons.
KW - Air traffic flow parameters
KW - Air traffic management
KW - Dynamic model
KW - Measurement data
KW - Relationship patterns
KW - Traffic simulation
UR - https://www.scopus.com/pages/publications/84970038581
U2 - 10.1016/j.ast.2016.05.010
DO - 10.1016/j.ast.2016.05.010
M3 - 文章
AN - SCOPUS:84970038581
SN - 1270-9638
VL - 55
SP - 10
EP - 23
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
ER -