Affiliation of Author(s):民航学院
Journal:2017 IEEE/AIAA 36TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC)
Key Words:Unmanned Aerial Vehicles Automatic Dependent Surveillance-Broadcast Dynamic Airspace Planning Collision Risk Model
Abstract:Recently civil unmanned aerial vehicles (UAVs) feature a higher flight altitude and faster cruising speed as UAV market expanding. It causes a potential collision risk to the approaching commercial airliner and general aviation flight at sharing and controlled low-altitude airspace. As a core surveillance technical approved by ICAO, automatic dependent surveillance-broadcast (ADS-B) is realized as an effective method to achieve the monitor of all controlled manned and unmanned aircraft at low-altitude airspace. In this work, a dynamic airspace planning framework based on ADS-B tracks for manned and unmanned aircraft is built. Firstly, an improved Voronoi diagram algorithm is proposed to divide the low-altitude sharing airspace to multiple sectors based on the different assignments of UAVs. Taking advantages of the real-time ADS-B trajectories of manned and unmanned aircraft, a collision risk model between UAVs and manned aircraft is built. Then the initial planned sectors are modified when the potential conflicts between UAVs and manned aircraft are detected. Finally, a revised unmanned aircraft track is planned to reduce the collision probability and send to UAVs' operators. A case study result show the effectiveness of the proposed framework. The built framework can ensure lower safety risk when UAVs and manned aircraft share the low-altitude airspace.
ISSN No.:2155-7195
Translation or Not:no
Date of Publication:2017-01-01
Co-author:Cheng, Xinmiao,Zhou, Siyao,Xinmin Tang,Wang, Han
Correspondence Author:SHEN ZHIYUAN
Associate Professor
Supervisor of Master's Candidates
Main positions:空管系副主任
Other Post:国际民航组织(ICAO)空管运行专家
Gender:Male
Alma Mater:哈尔滨工业大学
Education Level:哈尔滨工业大学
Degree:Doctoral Degree in Engineering
School/Department:College of Civil Aviation
Discipline:Other specialties in Safety Science and Engineering. Transportation Planning and Management. Transportation Information Engineering and Control
Business Address:民航楼604室
Contact Information:13951916587
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