Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models

1 November 2018

Papers citing "Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models"

6 / 6 papers shown

Title
Predicting the traffic flux in the city of Valencia with Deep Learning Miguel G. Folgado V. Sanz J. Hirn Edgar G. Lorenzo J. F. U. Schölzel GNN HAI 15 1 0 04 Oct 2022
A spatial-temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism Zhijun Chen Zheng Lu Qiushi Chen Hongliang Zhong Yishi Zhang Jie Xue Delft University of Technology GNN AI4TS 20 59 0 10 May 2022
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 32 67 0 02 Dec 2020
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 26 549 0 11 Jun 2019
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact Ruimin Ke Wan Li Zhiyong Cui Yinhai Wang 11 78 0 05 Mar 2019
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 42 736 0 20 Feb 2018