Planning of arrival and departure routes in terminal maneuvering area based on high dimensionality reduction environment
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ORIGINAL PAPER
Planning of arrival and departure routes in terminal maneuvering area based on high dimensionality reduction environment modeling method Siyu Su1 · Youchao Sun1
· Chong Peng1 · Haiyun Yang1
Received: 28 July 2020 / Revised: 15 September 2020 / Accepted: 23 September 2020 © Shanghai Jiao Tong University 2020
Abstract The efficient design of arrival and departure routes in the terminal maneuvering area plays a key role in increasing airport capacity and reducing traffic congestion. In our study, we establish an arrival and departure route planning model in the terminal maneuvering area, taking into account the airspace environmental constraints and aircraft operational constraints. Then the three-dimensional environment modeling method with a high degree of dimensionality reduction is introduced to improve the efficiency of route planning, and routes are planned sequentially using the A* algorithm in a dimensionally reduced environment. Numerical simulation tests, performed on the terminal maneuvering area of Chengdu Shuangliu Airport in China, show the effectiveness of the proposed method. Each route is given two planning schemes considering the maximum and minimum takeoff or descent slope, and a total of seven routes is generated. Keywords Terminal maneuvering area · Arrival and departure routes · High dimensionality reduction · A* algorithm · Takeoff/descent slope
1 Introduction A terminal Maneuvering Area (TMA) is an area consisting of one or more adjacent airports in which both the takeoff and the landing phases of the aircraft occur. Intensive airport layout, complex airspace structure, and rapidly growing air traffic flow make the TMA more congested. The standard terminal arrival routes (STARs) and standard instrument departure routes (SIDs) planning, as the core content of the TMA airspace planning, play an important role in reducing the operational complexity of the airspace and achieving safe and efficient flight of the aircraft. Currently, the STARs and SIDs planning are mainly based on manual design, and the efficiency is relatively low. This kind of design is difficult to meet the increasing air traffic demand and the economics and safety of aircraft operation. Therefore, the objective of this study is to automatically plan STARs and SIDs concerning certain constraints.
B 1
Youchao Sun [email protected] College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, No. 29, Yudao St, Nanjing 210016, China
The design of STARs and SIDs belongs to the category of path planning, that is, in a fixed environment, finding a collision-free optimal path from the starting point to the ending point. Contrary to trajectory design, route planning does not involve any notion of time. Research on path planning has been around for many years, it can be divided into twodimensional (2D) path planning [1, 2] and three-dimensional (3D) path planning [3, 4], single path planning [5] and multiple path planning [6] from different perspectives. Especially in the field of robotics, the fru
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