Title: The application of big data platform in intelligent scheduling of tourism passenger flow based on time window

Authors: Yanhua Guo

Addresses: School of Culture, Tourism and International Education Henan Polytechnic Institute, Nanyang 473000, China

Abstract: To manage rural leisure tourism reasonably and achieve intelligent guidance, this paper adopts intelligent scheduling of passenger flow, combining Wi-Fi detection technology and time-window-based analysis method for passenger flow data collection and analysis. Based on the booster and gravitational functions, the corresponding gravitational scheduling model is proposed with comprehensive consideration of multiple factors to perform passenger flow scheduling, and the related supervisory scheduling system is designed. The results show that after analysing the selected real-time passenger flow and time-load rate of the leisure village, the MFGM method adopted in this paper can effectively dispatch the passenger flow and make the time-load rate of the leisure village converge to 1. The average satisfaction and the average time-load rate after diversion of the MFGM method are 0.640 and 0.839, respectively. The dispatching scheme used in this paper can effectively reduce the peak passenger flow of the leisure village and possesses better practical value.

Keywords: time window; scheduling; visitor diversion; Wi-Fi; gravitational scheduling model.

DOI: 10.1504/IJCSYSE.2025.144996

International Journal of Computational Systems Engineering, 2025 Vol.9 No.1, pp.11 - 21

Received: 18 Apr 2023
Accepted: 19 Jul 2023
Published online: 17 Mar 2025 *