Urban Traffic Flow Forecasting Based on Graph Structure Learning

Urban Traffic Flow Forecasting Based on Graph Structure Learning

The transportation system is a complex dynamic giant system which integrates and intertwines the elements of people, vehicles, roads, and the environment. The city-level traffic flow forecasting can effectively reflect the flow changes of the traffic system and provide practical guidance for the for...

Full description

Saved in:

Bibliographic Details
Main Authors:	Guangyu Huo, Yong Zhang, Yimei Lv, Hao Ren, Baocai Yin
Format:	Article
Language:	English
Published:	Wiley 2024-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/atr/7878081
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework
by: Lin Pan, et al.
Published: (2024-12-01)

Urban Traffic Flow Forecast Based on FastGCRNN
by: Ya Zhang, et al.
Published: (2020-01-01)

TEA-GCN: Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Forecasting
by: Xiaxia He, et al.
Published: (2024-11-01)

Spatio-temporal envolutional graph neural network for traffic flow prediction in UAV-based urban traffic monitoring system
by: Wenming Ma, et al.
Published: (2024-11-01)

MGHCN: Multi-graph structures and hypergraph convolutional networks for traffic flow prediction
by: Xuanxuan Fan, et al.
Published: (2025-01-01)

Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting
by: Ping Lou, et al.
Published: (2023-01-01)

Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network
by: Xiang Yin, et al.
Published: (2025-01-01)

Enhancing Traffic Flow Forecasting with Deep-Learning and Noise Reduction Techniques
by: Jinqiu Zhao, et al.
Published: (2024-01-01)

The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points
by: Wu Haoyu
Published: (2025-01-01)

Integrated Spatio-Temporal Graph Neural Network for Traffic Forecasting
by: Vandana Singh, et al.
Published: (2024-12-01)

sAMDGCN: sLSTM-Attention-Based Multi-Head Dynamic Graph Convolutional Network for Traffic Flow Forecasting
by: Shiyuan Zhang, et al.
Published: (2025-01-01)

Advancing complex urban traffic forecasting: A fully attentional spatial-temporal network enhanced by graph representation
by: Guangyue Li, et al.
Published: (2024-11-01)

A parallel spatiotemporal deep learning network for highway traffic flow forecasting
by: Dongxiao Han, et al.
Published: (2019-02-01)

Learning Dynamic Spatial-Temporal Dependence in Traffic Forecasting
by: Chaoyu Ren, et al.
Published: (2024-01-01)

TaxiInt: Predicting the Taxi Flow at Urban Traffic Hotspots Using Graph Convolutional Networks and the Trajectory Data
by: Jinmao Zhang, et al.
Published: (2021-01-01)

Inverse Fuzzy-Directed Graph With an Application in Traffic Flow Problem
by: R. Keerthana, et al.
Published: (2024-01-01)

IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting
by: Lianfei Yu, et al.
Published: (2024-11-01)

Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention
by: Yash Jakhmola, et al.
Published: (2024-01-01)

Multi-Granularity Temporal Embedding Transformer Network for Traffic Flow Forecasting
by: Jiani Huang, et al.
Published: (2024-12-01)

Digital twin based intelligent urban traffic forecasting and guidance strategy
by: Xiwen LIAO, et al.
Published: (2023-03-01)

DEVELOPMENT OF METHODOLOGY FOR TRAFFIC ACCIDENT FORECASTING AT VARIOUS TYPICAL URBAN AREAS
by: D. V. Kapsky
Published: (2012-08-01)

Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution.
by: Martin Kostadinov, et al.
Published: (2024-01-01)

Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution
by: Martin Kostadinov, et al.
Published: (2024-01-01)

Vehicle Turn Pattern Counting and Short Term Forecasting Using Deep Learning for Urban Traffic Management System
by: Sundarakrishnan Narayanan, et al.
Published: (2025-01-01)

Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network
by: Yun Ge, et al.
Published: (2022-01-01)

Development of Model for Traffic Flows on Urban Street and Road Network
by: D. V. Kapskiy, et al.
Published: (2019-02-01)

DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting
by: Zeping Dou, et al.
Published: (2024-12-01)

A Kind of Urban Road Travel Time Forecasting Model with Loop Detectors
by: Guangyu Zhu, et al.
Published: (2016-02-01)

Dynamic graph structure and spatio-temporal representations in wind power forecasting
by: Zang Peng, et al.
Published: (2025-01-01)

Research on the Traffic Flow Control of Urban Occasional Congestion Based on Catastrophe Theory
by: Yang Xu, et al.
Published: (2021-01-01)

Multi-channel spatial-temporal traffic flow prediction based on hybrid static-dynamic graph convolution
by: Xiongtao ZHANG, et al.
Published: (2023-08-01)

Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control
by: Francois-Xavier Devailly, et al.
Published: (2024-01-01)

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction
by: Lei Huang, et al.
Published: (2024-01-01)

An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks
by: Basma Alsehaimi, et al.
Published: (2025-01-01)

MSA-GCN: Multistage Spatio-Temporal Aggregation Graph Convolutional Networks for Traffic Flow Prediction
by: Ji Feng, et al.
Published: (2024-10-01)

An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow
by: Xuehui Wang, et al.
Published: (2018-01-01)

Urban Traffic Flow Estimation System Based on Gated Recurrent Unit Deep Learning Methodology for Internet of Vehicles
by: Abdul Hussain Ali Hussain, et al.
Published: (2023-01-01)

A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment
by: Fan Ding, et al.
Published: (2022-01-01)

Estimating traffic flow at urban intersections using low occupancy floating vehicle data
by: Lili Zhang, et al.
Published: (2025-01-01)

Development of Methodology for Forecasting Traffic Accidents
by: D. V. Kapsky
Published: (2004-10-01)