TY - GEN
T1 - A methodology for designing transition route network between en-route airspace and terminal areas
AU - Zhao, Shuang
AU - Zhang, Xuejun
AU - Zhu, Yanbo
AU - Cai, Kaiquan
PY - 2008
Y1 - 2008
N2 - A methodology is presented, in this paper, to design the transition network around the terminal areas (TMAs). The methodology consists of two parts: the multi-objective model and the algorithm. Our model is based on the definition of the optimal transition network, which refers to a tradeoff among the economy, the safety and the structure simplicity of the network. The economy, namely the cost of the network is denoted by the mileage of all the aircraft, the safety is expressed by the attribute-the conflicts of the network, and the structure simplicity of the network is reflected by the balance of the aircraft flow entering/departing TMAs in each transition routes. Then an evolutionary optimization algorithm, Non-dominated Sorting Genetic Algorithm 2 (NSGA2), is applied to solve the model and provide the optimal transition network structure. The model is validated by the data from the transition network of Beijing TMA, which demonstrates the superiority of the methodology by the comparison of the transition network performance with the current one.
AB - A methodology is presented, in this paper, to design the transition network around the terminal areas (TMAs). The methodology consists of two parts: the multi-objective model and the algorithm. Our model is based on the definition of the optimal transition network, which refers to a tradeoff among the economy, the safety and the structure simplicity of the network. The economy, namely the cost of the network is denoted by the mileage of all the aircraft, the safety is expressed by the attribute-the conflicts of the network, and the structure simplicity of the network is reflected by the balance of the aircraft flow entering/departing TMAs in each transition routes. Then an evolutionary optimization algorithm, Non-dominated Sorting Genetic Algorithm 2 (NSGA2), is applied to solve the model and provide the optimal transition network structure. The model is validated by the data from the transition network of Beijing TMA, which demonstrates the superiority of the methodology by the comparison of the transition network performance with the current one.
KW - Multiobjective model
KW - NSGA2
KW - Optimal transition network
KW - Transition network performance
UR - https://www.scopus.com/pages/publications/67249107154
U2 - 10.1109/DASC.2008.4702867
DO - 10.1109/DASC.2008.4702867
M3 - 会议稿件
AN - SCOPUS:67249107154
SN - 9781424422081
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
SP - 6C41-6C47
BT - 2008 IEEE/AIAA 27th Digital Avionics Systems Conference, DASC 2008
T2 - 2008 IEEE/AIAA 27th Digital Avionics Systems Conference, DASC 2008
Y2 - 26 October 2008 through 30 October 2008
ER -