Local online kernel ridge regression for forecasting of urban travel times
Local online kernel ridge regression (LOKRR) is developed for forecasting urban travel times. LOKRR takes into account the time varying characteristics of traffic series through the use of locally defined kernels. LOKRR outperforms ARIMA, Elman ANN and SVR in forecasting travel times on Londons road network. The model is based on regularised linear regression, and clear guidelines are given for parameter training.
forecasting travel time prediction time series kernel method machine learning