Resident traffic flow prediction system and prediction method thereof

Abstract

The invention discloses a resident traffic flow prediction system and a prediction method thereof. A full convolutional network can be adopted to perform prediction. Geographic grid division can be adopted; urban resident travel areas can be divided into multiple grid areas; the traffic flow data of the travelling of residents can be converted into flow diagrams as the input of the full convolutional network; data dimensions can be increased through the number of channels of different extended images; the characteristics of the traffic flow diagrams can be extracted through convolution layers;images whose magnitudes are equal to the magnitudes of input flow diagrams can be obtained through multiple deconvolution; and the whole network can be reversely adjusted through the error of actualflow diagrams and prediction flow diagrams at the next time quantum. Thus, fully connected operation of traditional convolutional networks can be removed, the traffic flow diagrams at the next time quantum can be predicted by adopting deconvolution, so that prediction precision can be enhanced, and model parameters and calculation consumption can be massively reduced.

Description

technical field [0001] The invention belongs to the technical field of traffic flow forecasting, in particular to a resident traffic travel flow forecasting system and a forecasting method thereof. Background technique [0002] With the increase of urban residents, the scale of various commercialization gradually expands, which brings convenience to people's life, but also causes a certain degree of congestion, and even safety accidents caused by excessive crowd flow, such as stampede ACCIDENT. The prediction of residents' travel flow not only plays a positive role in alleviating traffic flow, but more importantly, it is of great significance to urban management and public safety, and is one of the important factors to prevent safety accidents. If we can predict the flow of people in an area, we can alleviate or prevent these tragedies by using emergency mechanisms, such as traffic control, sending warnings, and evacuating people, so as to bring a smooth and safe traffic en...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to provide a resident traffic travel flow forecasting system and its forecasting method, which solves the problem that in the prior art, the characteristics of traffic flow flow in interconnected areas and different areas are not well extracted, and the actual traffic conditions are not accurate. The controllability is too large, and the problem of the defects of the prediction model itself

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