Unified Spatial-Temporal Neighbor Attention Network for Dynamic Traffic Prediction
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Unified Spatial-Temporal Neighbor Attention Network for Dynamic Traffic Prediction
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 72, Issue 2, Pages 1515-1529
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-09-27
DOI
10.1109/tvt.2022.3209242
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
- (2022) Xueyan Yin et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Online Traffic Flow Prediction for Edge Computing-Enhanced Autonomous and Connected Vehicles
- (2021) Xiaoxiang Song et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep Learning Approach
- (2021) Zhu Xiao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Trajectory Data Acquisition via Private Car Positioning Based on Tightly-coupled GPS/OBD Integration in Urban Environments
- (2021) Zhu Xiao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data
- (2021) Zhu Xiao et al. IEEE Transactions on Cybernetics
- Urban flow prediction from spatiotemporal data using machine learning: A survey
- (2020) Peng Xie et al. Information Fusion
- On Extracting Regular Travel Behavior of Private Cars Based on Trajectory Data Analysis
- (2020) Zhu Xiao et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation
- (2020) Kan Guo et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
- (2020) Jiexia Ye et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A Traffic Prediction Enabled Double Rewarded Value Iteration Network for Route Planning
- (2019) Jinglin Li et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning
- (2019) Junbo Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- EnLSTM-WPEO: Short-Term Traffic Flow Prediction by Ensemble LSTM, NNCT Weight Integration, and Population Extremal Optimization
- (2019) Feixiang Zhao et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Exploring Individual Travel Patterns Across Private Car Trajectory Data
- (2019) Yourong Huang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm
- (2015) Rong Chen et al. APPLIED SOFT COMPUTING
- Regression conformal prediction with random forests
- (2014) Ulf Johansson et al. MACHINE LEARNING
- Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models
- (2009) Srinivasa Ravi Chandra et al. Journal of Intelligent Transportation Systems
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now