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Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction
  in Transportation Networks

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

7 May 2017
Haiyang Yu
Zhihai Wu
Shuqin Wang
Yunpeng Wang
Xiaolei Ma
    AI4TS
    GNN
ArXivPDFHTML

Papers citing "Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks"

24 / 24 papers shown
Title
A Multi-Layer CNN-GRUSKIP model based on transformer for spatial TEMPORAL traffic flow prediction
A Multi-Layer CNN-GRUSKIP model based on transformer for spatial TEMPORAL traffic flow prediction
Karimeh Ibrahim Mohammad Ata
Mohd Khair Hassan
Ayad Ghany Ismaeel
Syed Abdul Rahman Al-Haddad
Thamer Alquthami
Sameer Alani
34
7
0
09 Jan 2025
Incorporating Long-term Data in Training Short-term Traffic Prediction
  Model
Incorporating Long-term Data in Training Short-term Traffic Prediction Model
Xiannan Huang
Shuhan Qiu
Yan Cheng
Quan Yuan
Chao Yang
AI4TS
30
0
0
16 Oct 2024
Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations
Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations
Zhixiong Jin
Dimitrios Tsitsokas
N. Geroliminis
Ludovic Leclercq
30
0
0
23 May 2024
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for
  Traffic Forecasting
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting
Binqing Wu
Ling-Hao Chen
GNN
AI4TS
31
3
0
02 Jul 2023
TrafFormer: A Transformer Model for Predicting Long-term Traffic
TrafFormer: A Transformer Model for Predicting Long-term Traffic
David Alexander Tedjopurnomo
F. Choudhury
A. K. Qin
19
5
0
24 Feb 2023
Efficient Traffic State Forecasting using Spatio-Temporal Network
  Dependencies: A Sparse Graph Neural Network Approach
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach
Bin Lei
Shaoyi Huang
Caiwen Ding
Monika Filipovska
GNN
AI4TS
14
0
0
06 Nov 2022
Simpler is better: Multilevel Abstraction with Graph Convolutional
  Recurrent Neural Network Cells for Traffic Prediction
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction
Naghmeh Shafiee Roudbari
Zachary Patterson
Ursula Eicker
Charalambos (Charis) Poullis
GNN
AI4TS
11
2
0
08 Sep 2022
Enhancing the Robustness via Adversarial Learning and Joint
  Spatial-Temporal Embeddings in Traffic Forecasting
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting
Juyong Jiang
Binqing Wu
Ling-Hao Chen
Kai Zhang
Sunghun Kim
AI4TS
33
18
0
05 Aug 2022
A Transferable Intersection Reconstruction Network for Traffic Speed
  Prediction
A Transferable Intersection Reconstruction Network for Traffic Speed Prediction
Pengyu Fu
Liang Chu
Zhuoran Hou
Jincheng Hu
Yanjun Huang
Yuanjian Zhang
11
0
0
22 Jul 2022
Spatiotemporal Data Mining: A Survey
Spatiotemporal Data Mining: A Survey
Arun Sharma
Zhe Jiang
Shashi Shekhar
AI4TS
20
9
0
26 Jun 2022
Dynamical prediction of two meteorological factors using the deep neural
  network and the long short-term memory $(2)$
Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory (2)(2)(2)
Ki-Hong Shin
Jae-Won Jung
Ki-Ho Chang
Dong-In Lee
C. You
Kyungsik Kim
21
2
0
28 Apr 2021
Learning dynamic and hierarchical traffic spatiotemporal features with
  Transformer
Learning dynamic and hierarchical traffic spatiotemporal features with Transformer
Haoyang Yan
Xiaolei Ma
ViT
AI4TS
16
150
0
12 Apr 2021
Bayesian Graph Convolutional Network for Traffic Prediction
Bayesian Graph Convolutional Network for Traffic Prediction
Jun Fu
Wei Zhou
Zhibo Chen
GNN
BDL
16
8
0
01 Apr 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
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
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network
  for Traffic Forecasting
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Jiawei Zhu
Xing Han
Hanhan Deng
Chao Tao
Ling Zhao
Pu Wang
Tao Lin
Haifeng Li
AI4TS
29
99
0
26 Nov 2020
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network
  for Forecasting Network-wide Traffic State with Missing Values
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
Zhiyong Cui
Ruimin Ke
Ziyuan Pu
Yinhai Wang
AI4TS
18
330
0
24 May 2020
Constructing Geographic and Long-term Temporal Graph for Traffic
  Forecasting
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
Yiwen Sun
Yulu Wang
Kun Fu
Zheng Wang
Changshui Zhang
Jieping Ye
AI4TS
GNN
22
9
0
23 Apr 2020
Multi-Range Attentive Bicomponent Graph Convolutional Network for
  Traffic Forecasting
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
Weiqiu Chen
Ling Chen
Yu Xie
Wei Cao
Yusong Gao
Xiaojie Feng
AI4TS
24
291
0
27 Nov 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
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
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
An Online Decision-Theoretic Pipeline for Responder Dispatch
An Online Decision-Theoretic Pipeline for Responder Dispatch
Ayan Mukhopadhyay
Geoffrey Pettet
Chinmaya Samal
A. Dubey
Yevgeniy Vorobeychik
OffRL
9
24
0
21 Feb 2019
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation
Filipe Rodrigues
Kristian C. Henrickson
Francisco Câmara Pereira
14
64
0
20 Dec 2018
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep
  Learning
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning
Shengdong Du
Tianrui Li
Xun Gong
S. Horng
AI4TS
28
150
0
06 Mar 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning
  Framework for Network-Scale Traffic Learning and Forecasting
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
39
736
0
20 Feb 2018
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