Research on airport passenger throughput prediction based on Euclidean distance

Jun Wen; Yi-Chen Xiao; Qing-wang Feng

doi:10.1117/12.2668597

16 February 2023 Research on airport passenger throughput prediction based on Euclidean distance

Jun Wen, Yi-Chen Xiao, Qing-wang Feng

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125912I (2023) https://doi.org/10.1117/12.2668597
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

Airport passenger throughput is the main production index to measure the operation status of civil aviation airport. The prediction of airport passenger throughput is of great significance to the development, function and management of airports, as well as to the promotion of high-quality and appropriate functional planning of airports. This paper chooses Jinan Yaoqiang International Airport as the research object. Firstly, the econometric method and trend extrapolation method were used to empirically analyze the passenger throughput data of Jinan Airport from 2009 to 2018. Because the two prediction models are different in emphasis, the Euclidean distance combination method based on the two methods is used to establish the model and make the prediction. Finally, the error degree of the three methods is compared and analyzed. According to the data analysis, the prediction results of the combined prediction model are obviously better than those of the above two prediction models, which can effectively reduce the error and improve the prediction accuracy.

Citation Download Citation

Jun Wen, Yi-Chen Xiao, and Qing-wang Feng "Research on airport passenger throughput prediction based on Euclidean distance", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125912I (16 February 2023); https://doi.org/10.1117/12.2668597

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