Passenger arrival distribution prediction model based on flight superposition

Qin Qian; Xin-Wei Ding; Wen-Liang Miao; Li Geng

doi:10.1117/12.2689847

7 September 2023 Passenger arrival distribution prediction model based on flight superposition

Qin Qian, Xin-Wei Ding, Wen-Liang Miao, Li Geng

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127906E (2023) https://doi.org/10.1117/12.2689847
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

In order to ensure the orderly operation of the terminal, the rapid evacuation of arriving passengers is crucial. Based on the dynamic prediction of arrival passenger evacuation time, we analyze the characteristics and influencing factors of passenger arrival in the connecting area, so as to construct a prediction model of passenger arrival distribution in each connecting area and conduct a prediction study of passenger arrival distribution in the connecting area. The simulation experiments show that the overall prediction effect of the model for the prediction period is good, the prediction accuracy is satisfactory, and the prediction effect design meets the demand.

Citation Download Citation

Qin Qian, Xin-Wei Ding, Wen-Liang Miao, and Li Geng "Passenger arrival distribution prediction model based on flight superposition", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127906E (7 September 2023); https://doi.org/10.1117/12.2689847

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