Study on departure time interval of paired departure from closely spaced parallel runways

Su Gang; Yang Kang; Zhang Jianping; Peng Xiaofei; Wang Bo; Yang Qingyuan

doi:10.1117/12.2645431

23 November 2022 Study on departure time interval of paired departure from closely spaced parallel runways

Su Gang, Yang Kang, Zhang Jianping, Peng Xiaofei, Wang Bo, Yang Qingyuan

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 1230250 (2022) https://doi.org/10.1117/12.2645431
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

Comparing with currently domestic way of departure from closely spaced parallel runways (CSPR), paired departures from CSPR significantly reduces the departure time interval between leading aircraft and trailing aircraft, thus improving the airport runway capacity. This paper mainly studies the departure time interval of paired departure from CSPR. Firstly, through the position error probability model, a collision risk assessment model for paired departure aircrafts is constructed. Then, based on the departure process, the distance calculation model of paired departure aircrafts is established. The impact of different types of aircrafts on collision probability is considered, and the departure time intervals of two situations are calculated. The calculation results show that when the departure time interval is more than calculated threshold, the collision probability is below target level of safety, and the departure time interval can be greatly reduced. This may help the studies on the collision risk of paired departure from CSPR in the future.

Citation Download Citation

Su Gang, Yang Kang, Zhang Jianping, Peng Xiaofei, Wang Bo, and Yang Qingyuan "Study on departure time interval of paired departure from closely spaced parallel runways", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 1230250 (23 November 2022); https://doi.org/10.1117/12.2645431

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KEYWORDS

Safety

Mathematical modeling

Statistical analysis

Lithium

Analytical research

Computer simulations

Modeling

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