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ADS-B based Trajectory Prediction and Conflict Detection for Air Traffic Management
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 Title & Authors
ADS-B based Trajectory Prediction and Conflict Detection for Air Traffic Management
Baek, Kwang-Yul; Bang, Hyo-Choong;
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The Automatic Dependent Surveillance Broadcast (ADS-B) system is a key component of CNS/ATM recommended by the International Civil Aviation Organization (ICAO) as the next generation air traffic control system. ADS-B broadcasts identification, positional data, and operation information of an aircraft to other aircraft, ground vehicles and ground stations in the nearby region. This paper explores the ADS-B based trajectory prediction and the conflict detection algorithm. The multiple-model based trajectory prediction algorithm leads accurate predicted conflict probability at a future forecast time. We propose an efficient and accurate algorithm to calculate conflict probability based on approximation of the conflict zone by a set of blocks. The performance of proposed algorithms is demonstrated by a numerical simulation of two aircraft encounter scenarios.
Automatic Dependent Surveillance Broadcast (ADS-B);interacting multiple model;trajectory prediction;conflict detection;conflict probability;
 Cited by
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