A vehicle intelligent dispatching system and method for scenic spots

Abstract

The present invention proposes a vehicle intelligent scheduling system and method for scenic spots, the system includes: a data storage server, used to store the information of the information collection module; a data processing center, to support the processing of crowd flow prediction and data conversion; The information collection module is used to collect information, and the information includes date information, temperature information, weather information, vehicle flow information and people flow information within a set threshold range around the scenic spot; the date information includes the identification of holidays and working days; The crowd flow prediction module is used to input the information obtained by the information collection module into the trained crowd flow prediction model based on the deep neural network to obtain the crowd flow forecast result value; the data conversion module is to convert the crowd flow forecast result value and the The above-mentioned traffic flow information is converted into the value of the forecast result of the demand for tours; the vehicle deployment control module allocates the tours in the scenic area according to the predicted results of the demand for tours, and also dispatches the drivers of the tours. The present invention accurately determines the number of required tour buses and the frequency of departures through accurate crowd flow prediction and combined with the passenger capacity of the tour bus, thereby improving travel experience and reducing costs.

Description

technical field [0001] The invention belongs to the technical field of vehicle intelligent dispatching, and in particular relates to a vehicle intelligent dispatching system and method for scenic spots. Background technique [0002] Scenic tour bus provides great convenience for tourists to play in the scenic area. However, the current scenic spot bus tour business is facing problems such as blind tour bus deployment scale and unreasonable bus tour scheduling allocation. The number of tour bus tours in some scenic spots cannot satisfy tourists. demand, while the utilization rate of tour bus in some scenic spots is low, which brings a greater economic burden to tour bus operators. Therefore, scientifically and accurately predicting the demand for shared car tours in scenic spots, and at the same time quickly and efficiently realizing vehicle scheduling between different scenic spots, can not only meet the needs of tourists for car tours, but also play a role in the developmen...

AI Technical Summary

Problems solved by technology

[0002] Scenic tour bus provides great convenience for tourists to play in the scenic area. However, the current scenic spot bus tour business is facing problems such as blind tour bus deployment scale and unreasonable bus tour scheduling allocation. The number of tour bus tours in some scenic spots cannot satisfy tourists. demand, while the utilization rate of some scenic spots is low, which brings a greater economic burden to the tour operators.

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