Highway Travel Time Prediction of Segments Based on ANPR Data considering Traffic Diversion
Travel time is one of the most critical parameters in proactive traffic management and the deployment of advanced traveler information systems.This paper proposes a hybrid model named LSTM-CNN for predicting the travel time of sequal eclipse 5 battery highways by integrating the long short-term memory (LSTM) and the convolutional neural networks (C