Passenger flow prediction method and cargo scheduling system for rural tourism

Abstract

The invention provides a passenger flow volume prediction method for rural tourism and a cargo scheduling system, and relates to the field of rural tourism informatization. According to the method, the passenger flow is estimated through the scenic spot passenger flow estimation step based on short-time data, deployment is carried out on the basis of existing base station nodes or routing nodes, and hardware deployment cost does not exist; small-range passenger flow information is accurately obtained, and the short-time data accuracy is high, so that the small-range and short-time prediction accuracy is improved; according to the method, moving tracks of all mobile devices are combined; selecting the occurrence frequency of each monitoring node of the node switching sequence in each moving track; the monitoring block where the monitoring node with the highest occurrence frequency is located serves as a distribution station building area, and station building is conducted in the distribution station building area; according to the method, the passenger flow volume of each scenic spot is used as a weight value, and a center offset formula based on the weight is constructed to select a station most suitable for station building theoretically, so that the aims of quickly dispatching goods and reducing the dispatching mileage are fulfilled.

Description

technical field [0001] The invention relates to the field of rural tourism informatization, in particular to a passenger flow prediction method and a cargo dispatching system for rural tourism. Background technique [0002] The rural tourism industry is an industry with great potential value. The revitalization of rural tourism is a major part of the rural revitalization strategy and an important part of whether the rural revitalization strategy can be successfully realized. The current level of rural tourism informatization is low, and it is difficult for rural tourism to achieve the strategic goal of "going out". Passenger flow forecasting has always been a hot development direction of modern industrial informatization. If the passenger flow of rural tourism can be accurately predicted, it can guide relevant personnel to carry out operations such as stocking up in advance, avoid waste of resources, and promote the high-quality development of rural tourism. [0003] Mature...

AI Technical Summary

Problems solved by technology

However, rural tourism attractions are often semi-open or fully open attractions, and tourists can reach the scenic spots through various roads and trails. On the one hand, this free mode greatly increases the fun and exploratory nature of rural tourism; but On the other hand, the infrastructure related to rural tourist attractions cannot be deployed on a large scale like mature tourist attractions, which restricts the degree of rural tourism informatization, especially affecting the accurate evaluation of rural tourist flow

It is difficult to improve the service quality without a more accurate assessment and prediction of rural tourism passenger flow

For example, the shelf life of some fresh ingredients is very short. If the customer flow cannot be accurately estimated and predicted, the ingredients will not be fresh and the supply of ingredients will be insufficient.

However, if the supply of ingredients is excessive, rural tourist attractions cannot professionally store these ingredients like large-scale attractions, which will affect the quality and safety of dishes

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