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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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2015-09-01
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| Series: | International Journal of Transportation Science and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043016301319 |