Lane Changing Prediction at Highway Lane Drops Using Support Vector Machine and Artificial Neural Network Classifiers

High accuracy of lane changing prediction is beneficial to driver assistant system and fully autonomous cars. This paper proposes a lane changing prediction model based on combined method of Supporting Vector Machine (SVM) and Artificial Neural Network (ANN) at highway lane drops. The vehicle trajectory data are from Next Generation Simulation (NGSIM) data set on U.S. Highway 101 and Interstate 80. The SVM and ANN classifiers are adopted to …