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"

7 / 7 papers shown

Title
Nested LSTMs Joel Ruben Antony Moniz David M. Krueger 55 68 0 31 Jan 2018
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction Zhiyong Cui Ruimin Ke Ziyuan Pu Yinhai Wang AI4TS 37 415 0 07 Jan 2018
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 180 4,604 0 26 Oct 2017
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks Haiyang Yu Zhihai Wu Shuqin Wang Yunpeng Wang Xiaolei Ma AI4TS GNN 54 543 0 07 May 2017
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction Xiaolei Ma Zhuang Dai Zhengbing He Jihui Ma Yuanbo Wang Yunpeng Wang 50 1,190 0 16 Jan 2017
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework Yuankai Wu Huachun Tan AI4TS 68 251 0 03 Dec 2016
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction Junbo Zhang Yu Zheng Dekang Qi 3DPC AI4TS 104 2,059 0 01 Oct 2016