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- W2347605599 abstract "The traffic flow prediction,especially the prediction for short-term traffic flow,is the basis of urban traffic controlling and guidance system which are the components of ITS.Because the history data of traffic volume and the accuracy for justifying the factors that affect the generation and growth of traffic volume are scarce,the difference of road volume result between the forecasting and the true of is great.Consequently,this paper demonstrates the method and application of gray model and multi-Agent theory in traffic volume intelligence prediction.For a certain period,using the intercommunication and cooperation between the agents,and the summation generation method and partial equation description of gray model,it ensures the data's good accuracy and practicability." @default.
- W2347605599 created "2016-06-24" @default.
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- W2347605599 date "2011-01-01" @default.
- W2347605599 modified "2023-09-23" @default.
- W2347605599 title "Research on intelligent prediction system of traffic information based on multi-Agent" @default.
- W2347605599 hasPublicationYear "2011" @default.
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