A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep
Learning

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning

6 March 2018

Tianrui Li

Papers citing "A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning"

8 / 8 papers shown

Title
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting Xiao Zheng Saeed Asadi Bagloee Majid Sarvi AI4TS 38 0 0 30 Apr 2025
Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism A. Das Agnimitra Sengupta S. I. Guler AI4TS 19 0 0 28 Apr 2025
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network Lei Lin Weizi Li Lei Zhu GNN AI4TS 9 5 0 22 Nov 2021
Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies Shatrughan Modi J. Bhattacharya P. Basak 14 24 0 03 Nov 2021
Research on facial expression recognition based on Multimodal data fusion and neural network Yi Han Xubin Wang Zheng Lu CVBM 8 1 0 26 Sep 2021
Autonomous Deep Quality Monitoring in Streaming Environments Andri Ashfahani Mahardhika Pratama E. Lughofer E. Yapp 20 4 0 26 Jun 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 29 67 0 02 Dec 2020
GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 25 1,341 0 11 Nov 2019