Research on Dynamic Planning of Amusement Park Based on Time Series Analysis
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DOI: 10.25236/ISMEEM.2019.134
Author(s)
Ruicong Zhang, Haodong Ma
Corresponding Author
Ruicong Zhang
Abstract
Nowadays, the amusement park is the central place for lighthearted enjoyment, and it is of practical significance to predict the number of visitors to the amusement park and the corresponding waiting time to plan the tourist routes. Through time series analysis, holiday and special events are modeled while Fourier series are used to study seasonal fluctuations, to obtain the predicted number of people. Based on the queuing theory, the average waiting time and the average number of people are obtained to give the optimal planning with the most fun items, and it has reference significance for the development of amusement parks.
Keywords
Amusement Park Strategy; Time Series Analysis; Fourier Series; Queuing Theory