A graph deep learning method for short‐term traffic forecasting on large road networks-Reference-Cited by-同舟云学术

A graph deep learning method for short‐term traffic forecasting on large road networks

Published:2019-05-24 Issue:10 Volume:34 Page:877-896
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Zhang Yang¹²^ORCID,Cheng Tao¹^ORCID,Ren Yibin¹³^ORCID

Affiliation:

1. SpaceTimeLabDepartment of CivilEnvironmental and Geomatic EngineeringUniversity College London Gower Street London UK

2. College of Systems EngineeringNational University of Defense Technology Changsha China

3. Qingdao Collaborative Innovation Centre of Marine Science and TechnologyCollege of Information Science and EngineeringOcean University of China Qingdao China

Funder

China Scholarship Council

University College London

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12450

Reference66 articles.

1. Traffic flow prediction for road transportation networks with limited traffic data;Abadi A.;IEEE Transactions on Intelligent Transportation Systems,2015

2. Abadi M. Barham P. Chen J. Chen Z. Davis A. Dean J. …Isard M.(2016).Tensorflow: A system for large‐scale machine learning.Proceedings of Conference on Operating Systems Design and Implementation (OSDI) 265–283.

3. Intelligent Infrastructure

4. Visibility graph similarity: A new measure of generalized synchronization in coupled dynamic systems

5. Improved visibility graph fractality with application for the diagnosis of Autism Spectrum Disorder

Cited by 78 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging Hybrid Deep Learning Models for Enhanced Multivariate Time Series Forecasting;Neural Processing Letters;2024-08-23

2. Ego‐planning‐guided multi‐graph convolutional network for heterogeneous agent trajectory prediction;Computer-Aided Civil and Infrastructure Engineering;2024-07-07

3. Adaptive data processing framework for efficient short-term traffic flow prediction;Nonlinear Dynamics;2024-06-27

4. Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review;International Journal of Applied Earth Observation and Geoinformation;2024-04

5. Improving deep-learning methods for area-based traffic demand prediction via hierarchical reconciliation;Transportation Research Part C: Emerging Technologies;2024-02