Analysis of factors affecting runway occupancy time based on airport operation data

Chen Zeng; Qinghai Zuo

doi:10.1117/12.2658258

20 October 2022 Analysis of factors affecting runway occupancy time based on airport operation data

Chen Zeng, Qinghai Zuo

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124513B (2022) https://doi.org/10.1117/12.2658258
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Runway occupancy time (ROT) has become a major factor limiting runway capacity. This paper presents a method based on airport operation data driving to analyze the factors that lead to the change of runway occupancy time. Based on the airport asde-x radar tracking data, different factors affecting the variability of ROT are analyzed for 36 major airports in China. The results show that the exit used for aircraft leaving the runway and aircraft type are the main influencing factors leading to the variability of ROT, and how these two dominant factors affect the change of ROT is analyzed in detail.

Citation Download Citation

Chen Zeng and Qinghai Zuo "Analysis of factors affecting runway occupancy time based on airport operation data", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124513B (20 October 2022); https://doi.org/10.1117/12.2658258

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