Bo Li

Bio: Bo Li is an academic researcher. The author has contributed to research in topics: Collision detection & Collision avoidance system. The author has co-authored 1 publications.

Research on Air Route Conflict Detection for General Aviation based on ADS-B

Abstract: Based on the research of TCAS and other collision avoidance systems applied in transportation aviation, a three-level collision avoidance system based on ADS-B technology applied in general aviation is proposed. The system includes RA collision avoidance, TA collision avoidance and protected area (PA) collision avoidance. The PA area collision avoidance can realize collision avoidance in advance, which makes full use of the advantages of ADS-B's wide working range, It is also in line with the characteristics of free navigation and difficult collision avoidance of general aviation. Route conflict detection is the premise of PA collision avoidance. An effective route conflict detection algorithm is proposed. The algorithm first decomposes the route conflict problem into three-dimensional coordinate axis conflict problems and detects them separately. When each coordinate axis has conflict, it combines decision detection. During the detection, the conflict problem of three-dimensional coordinate axis is mapped into conflict time period to determine the intersection, It solves the problem of conflict judgment. Based on the algorithm, the simulation experiment of route conflict detection is carried out for 100 times with 1000 intruding aircraft within 100 km each time. The result shows that only about 5 ‰ of the intruding aircraft have conflict. The experimental results are in line with the actual situation, which also proves the effectiveness of the algorithm. The principle of the proposed algorithm is clear, the amount of calculation is small, simple and practical.

A Method for Managing ADS-B Data Based on a 4D Airspace-Temporal Grid (GeoSOT-AS)

Abstract: With the exponential increase in the volume of automatic dependent surveillance-broadcast (ADS-B), and other types of air traffic control (ATC) data containing spatiotemporal attributes, it remains uncertain how to respond to immediate ATC data access within a target area. Accordingly, an original multi-level disaggregated framework for airspace, and its corresponding information management is proposed. Further, a multi-scale grid modeling and coding mapping method of airspace information represented by ADS-B is put forth. Finally, tests on the validity of the 4D airspace-temporal grid we named as the GeoSOT-AS framework were conducted across key areas based on the development of an effective data organization method for ADS-B, or an effective algorithm for extracting relevant spatiotemporal data. Experimentally, it was demonstrated that GeoSOT-AS conforms to the existing Chinese specification of civil aeronautical charting and is advantageous for its low deformation and high practicality; furthermore, the airspace grid identification code modeling was less costly, and improved performance by >80% when used for ADS-B data extraction. GeoSOT-AS can thus provide effective reference and practical information for existing airspace data management methods represented by ADS-B and can subsequently be extended to other forms of airspace management scenarios.