Short Term Prediction of Freeway Exiting Volume Based on SVM and KNN

Short Term Prediction of Freeway Exiting Volume Based on SVM and KNN

In order to better predict the traffic states on freeways and make management decisions, a hybrid model of support vector machine (SVM) and K-nearest neighbor (KNN) is proposed for short- term freeway exiting volume prediction. First, a historical data set is built by using the freeway toll data. Th...

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Bibliographic Details
Main Author: Xiang Wang
Format: Article
Language:English
Published: Elsevier 2015-09-01
Series:International Journal of Transportation Science and Technology
Subjects:
Freeway Exiting Flow
Short-term Prediction
KNN
SVM
Hybrid Model
Online Access:http://www.sciencedirect.com/science/article/pii/S2046043016301319

Internet

http://www.sciencedirect.com/science/article/pii/S2046043016301319

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