ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.08555
  4. Cited By
Deep Learning on Traffic Prediction: Methods, Analysis and Future
  Directions
v1v2v3v4 (latest)

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

18 April 2020
Xueyan Yin
Genze Wu
Jinze Wei
Yanming Shen
Heng Qi
Baocai Yin
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions"

12 / 12 papers shown
Introduction to Graph Neural Networks: A Starting Point for Machine
  Learning Engineers
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers
James H. Tanis
Chris Giannella
Adrian V. Mariano
AI4CEGNNFaMLPINN
385
7
0
27 Dec 2024
Spatio-Temporal Joint Graph Convolutional Networks for Traffic
  Forecasting
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
Chuanpan Zheng
Xiaoliang Fan
Shirui Pan
Haibing Jin
Zhaopeng Peng
Zonghan Wu
Cheng-Yu Wang
Philip S. Yu
GNNAI4TS
369
103
0
25 Nov 2021
Short-term traffic prediction using physics-aware neural networks
Short-term traffic prediction using physics-aware neural networks
M. Pereira
Annika Lang
Balázs Kulcsár
206
32
0
21 Sep 2021
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic
  Condition Prediction
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
Tiange Wang
Zijun Zhang
K. Tsui
AI4TS
184
7
0
05 Aug 2021
Online Metro Origin-Destination Prediction via Heterogeneous Information
  Aggregation
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
Lingbo Liu
Yuying Zhu
Guanbin Li
Ziyi Wu
Mengwei He
Liang Lin
AI4TS
388
50
0
02 Jul 2021
An Empirical Experiment on Deep Learning Models for Predicting Traffic
  Data
An Empirical Experiment on Deep Learning Models for Predicting Traffic DataIEEE International Conference on Data Engineering (ICDE), 2021
Hyunwoo Lee
Cheonbok Park
Seungmin Jin
Hyeshin Chu
Jaegul Choo
Sungahn Ko
AI4TS
128
18
0
12 May 2021
Graph Neural Network for Traffic Forecasting: A Survey
Graph Neural Network for Traffic Forecasting: A SurveyExpert systems with applications (ESWA), 2021
Weiwei Jiang
Jiayun Luo
GNNAI4TSAI4CE
875
1,202
0
27 Jan 2021
Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction
Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction
Tijs Maas
Peter Bloem
AI4TS
175
7
0
09 Dec 2020
A Survey on Deep Learning for Human Mobility
A Survey on Deep Learning for Human MobilityACM Computing Surveys (ACM CSUR), 2020
Massimiliano Luca
Gianni Barlacchi
Bruno Lepri
Luca Pappalardo
HAI
375
291
0
04 Dec 2020
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
276
90
0
02 Dec 2020
Deep Gravity: enhancing mobility flows generation with deep neural
  networks and geographic information
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic informationNature Communications (Nat Commun), 2020
F. Simini
Gianni Barlacchi
Massimilano Luca
Luca Pappalardo
HAI
531
262
0
01 Dec 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Mengwei He
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNNAI4TS
551
1,835
0
06 Jul 2020
1
Page 1 of 1