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- W2369688452 abstract "Existing control measures are dominated by pre-timed control;others such as ALINEA-control and DC-control in VISSIM are limited for lacking of predictive mechanism,which is mainly because it is hard to make quantified analysis for the dynamics and randomicity of the traffic flow.By drawing into the neural net can make dynamic prediction of the traffic volume,based on which the ramp-control can be adjusted in time.This paper first analyze the related factors affecting the main line's traffic,then neural network expressway ramp control model is established on them.The verification of the actual observation data's training and testing on it shows a satisfactory results." @default.
- W2369688452 created "2016-06-24" @default.
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- W2369688452 date "2008-01-01" @default.
- W2369688452 modified "2023-09-24" @default.
- W2369688452 title "The Method of Expressway Ramp Controlling Based on Neural Network" @default.
- W2369688452 hasPublicationYear "2008" @default.
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