Name
Abstract | ||
|---|---|---|
In this paper, a new short-term traffic flow prediction model and method based on online support vector regression (OSVR) is proposed, according to the data collected sequentially by the probe vehicle or the loop detectors, which can update the forecasting function in real time via online learning way. As a result, it is fitter for a real engineering application. The OSVR model was tested by using I-880 database, the result shows that this model is superior to the back-propagation neural network (BPNN) model. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IMSCCS.2007.66 | IMSCCS |
Keywords | Field | DocType |
support vector regression,prediction model,regression analysis,support vector machines,data collection,real time,traffic flow | Online learning,Data mining,Traffic flow,Regression analysis,Computer science,Support vector machine,Artificial intelligence,Artificial neural network,Detector,Machine learning | Conference |
Volume | Issue | ISBN |
null | null | 0-7695-3039-7 |
Citations | PageRank | References |
2 | 0.38 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haowei Su | 1 | 15 | 1.73 |
| Ling Zhang | 2 | 143 | 14.77 |
| Shu Yu | 3 | 2 | 0.38 |