A selection algorithm for conflict aircrafts and performance analysis based on ADS-B

An algorithm based on ADS-B was proposed to meet the demand of collision avoidance for the complicated traffic situation of Free Flight. The algorithm selected the potential conflict aircrafts within 40-100 nm radius, which took advantages of abundant information and high updating rate of ADS- B. Fu...

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Published in2011 IEEE/AIAA 30th Digital Avionics Systems Conference pp. 1D3-1 - 1D3-6
Main Authors Gang Xiao, Yue Xu, Chaocheng Dai, Zhongliang Jing, Jianmin Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
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ISBN1612847978
9781612847979
ISSN2155-7195
DOI10.1109/DASC.2011.6095974

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Abstract An algorithm based on ADS-B was proposed to meet the demand of collision avoidance for the complicated traffic situation of Free Flight. The algorithm selected the potential conflict aircrafts within 40-100 nm radius, which took advantages of abundant information and high updating rate of ADS- B. Function simulation was carried out using MATLAB, then Monte-Carlo method was used to analysis the efficiency of this algorithm. The results show that the algorithm has a good performance in selecting conflict aircrafts from secure aircrafts. The algorithm can be used as the pre-processing of the conflict probability prediction algorithm, which must be helpful to the safety of Free Flight in the future.
AbstractList An algorithm based on ADS-B was proposed to meet the demand of collision avoidance for the complicated traffic situation of Free Flight. The algorithm selected the potential conflict aircrafts within 40-100 nm radius, which took advantages of abundant information and high updating rate of ADS- B. Function simulation was carried out using MATLAB, then Monte-Carlo method was used to analysis the efficiency of this algorithm. The results show that the algorithm has a good performance in selecting conflict aircrafts from secure aircrafts. The algorithm can be used as the pre-processing of the conflict probability prediction algorithm, which must be helpful to the safety of Free Flight in the future.
Author Zhongliang Jing
Yue Xu
Gang Xiao
Chaocheng Dai
Jianmin Wu
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  surname: Yue Xu
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  surname: Jianmin Wu
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  organization: Sci. & Technol. on Avionics Integration Lab., Shanghai, China
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Snippet An algorithm based on ADS-B was proposed to meet the demand of collision avoidance for the complicated traffic situation of Free Flight. The algorithm selected...
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StartPage 1D3-1
SubjectTerms Air traffic control
Aircraft
Aircraft manufacture
Algorithm design and analysis
Atmospheric modeling
Prediction algorithms
Trajectory
Title A selection algorithm for conflict aircrafts and performance analysis based on ADS-B
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