WCSE 2019 SUMMER ISBN: 978-981-14-1684-2
DOI: 10.18178/wcse.2019.06.065

Apron Conflict Prediction and Avoidance for Aircraft in Large Airport

Zhu Xinping, Xu Haiyao

Abstract— In order to ensure the safe operation of apron, it is necessary to implement apron control system integrated with advanced movement conflict control algorithm. Six classes of apron conflicts that may occur in apron operation are summarized, and the corresponding characteristics are analyzed in detail. The approach for constructing static network graph (SNG) based on virtual control node, and dynamic network graph (DNG) for aircraft apron movement are provided with the prior information on taxi routes, respectively. The concept of apron movement cycle, cycle chain, and shareable unidirectional route in DNG are proposed, and the apron conflict prediction and avoidance algorithm was proposed for apron conflict type 1-4. Lastly, the effectiveness of the proposed algorithm was validated through numerical study and simulation experiment.

Index Terms— airport, apron, conflict prediction, conflict avoidance.

Zhu Xinping, Xu Haiyao
College of Air Traffic Management, Civil Aviation Flight University of China, CHINA


Cite: Zhu Xinping, Xu Haiyao, "Apron Conflict Prediction and Avoidance for Aircraft in Large Airport," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 432-438, Hong Kong, 15-17 June, 2019.