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A Novel Traffic Flow Forecasting Method Based on RNN-GCN and BRB
2020
Journal of Advanced Transportation
As an important part of a smart city, intelligent transport can effectively reduce energy consumption and environmental pollution. Traffic flow forecasting provides a reliable traffic dispatch basis for intelligent transport, and most of the existing prediction methods only predict a single saturation or speed and do not use the saturation and speed in a unified way. This paper proposes a new traffic flow prediction method based on RNN-GCN and BRB. First, the belief rule base (BRB) is used for
doi:10.1155/2020/7586154
fatcat:yfllwqmyhvdhlkbitwozbjwp2u