Bus passenger flow volume prediction modeling method based on XGBoost model
A modeling method and model prediction technology, applied in prediction, character and pattern recognition, instruments, etc., to achieve the effect of efficient data prediction
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[0050] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.
[0051] The bus passenger flow prediction modeling method based on the XGBoost model of the present invention utilizes IC cards and GPS data to study the number of passengers getting on the bus at each station in each period of the day, and considers weather factors to use the Xgboost model to predict the number of passengers getting on the bus in the future period The number of people on the bus, and a passenger flow prediction model for the alighting station is proposed.
[0052] Taking Shenzhen M414 line bus as an example below, adopt the modeling method of the present invention to predict its passenger flow.
[0053] 1 Study the number of passengers boarding at each station every half hour every day
[0054] (1) Data removal
[0055] The analysis of the data itself found that the following problems existed in the original data set:
[005...
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