Research on traffic scheduling of tourist peaks in scenic spots based on multidimensional data mining
The flow of tourists in scenic spots during peak tourism periods will rapidly increase,and the flow pattern of tour-ists is complex and difficult to predict,which increases the difficulty of traffic scheduling in scenic spots during peak tourism peri-ods.Multidimensional data mining predicts future tourist traffic through data collection and integration,and the predicted results can provide scientific basis for scenic spots to formulate traffic scheduling plans.Therefore,a traffic scheduling method for scenic spots during peak tourism periods based on multidimensional data mining is studied.Using multidimensional data mining tech-niques to collect tourist data from peak tourism periods in scenic spots,predicting the peak tourism traffic based on the collected data,and achieving peak tourism traffic scheduling in scenic spots.The experimental results show that this method has a high de-gree of traffic distribution balance in scenic area traffic scheduling,and the practical application effect is good.
multidimensional data miningpeak tourism periodtourist attractionstraffic scheduling
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