Link travel time prediction is a focus of intelligent transportation system (ITS) research. Through comparing the performances of the existing prediction algorithm, this article tries to integrate rough set and BP neural network to establish a new one for link travel time prediction. By comparing the predicted values of travel time to the real travel time, the predicted model is verified to be effective.
Link Travel Time Prediction Based on the Integration of Rough Set and BP Neural Network
Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China
2009-07-29
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Highways and roads , Information technology (IT) , Transportation management , Construction , Freight transportation , Predictions , Neural networks , Water transportation , Intelligent transportation systems , Air transportation , Rail transportation , Optimization , Public transportation , Travel time , Traffic management
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