Travel Time Prediction by Providing Constraints on a Convolutional Neural Network
Travel Time Prediction by Providing Constraints on a Convolutional Neural Network is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include political representation, convolutional neural network, data mining, artificial intelligence, computer science, data set, task, artificial neural network, set, traffic flow, machine learning, and domain. Despite the success of these methods, the local-level representation in the data-based methods is clearly limited because it does not directly reflect the relationship between each historical data point in the input sequence and the predicted information.