Graph attention temporal convolutional network for traffic speed forecasting on road networks
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Graph attention temporal convolutional network for traffic speed forecasting on road networks
Authors
Keywords
-
Journal
Transportmetrica B-Transport Dynamics
Volume -, Issue -, Pages 1-19
Publisher
Informa UK Limited
Online
2020-09-23
DOI
10.1080/21680566.2020.1822765
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Distributed Cooperative Backpressure-Based Traffic Light Control Method
- (2019) Shenxue Hao et al. JOURNAL OF ADVANCED TRANSPORTATION
- Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm
- (2019) Linchao Li et al. KNOWLEDGE-BASED SYSTEMS
- Real-Time Dynamic Traffic Control Based on Traffic-State Estimation
- (2019) Afzal Ahmed et al. TRANSPORTATION RESEARCH RECORD
- Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies
- (2019) Zhengchao Zhang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Short-term prediction of lane-level traffic speeds: A fusion deep learning model
- (2019) Yuanli Gu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning
- (2019) Yuanli Gu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections
- (2018) Biao Xu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Analyzing travel time reliability and its influential factors of emergency vehicles with generalized extreme value theory
- (2018) Zhenhua Zhang et al. Journal of Intelligent Transportation Systems
- Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
- (2017) Xiaolei Ma et al. SENSORS
- Online calibration for microscopic traffic simulation and dynamic multi-step prediction of traffic speed
- (2016) Vasileia Papathanasopoulou et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
- (2016) Pinlong Cai et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Speed limit and ramp meter control for traffic flow networks
- (2015) Paola Goatin et al. ENGINEERING OPTIMIZATION
- Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
- (2015) Xiaolei Ma et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD–ARIMA framework
- (2015) Haizhong Wang et al. Transportmetrica B-Transport Dynamics
- Big data and its technical challenges
- (2014) H. V. Jagadish et al. COMMUNICATIONS OF THE ACM
- Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
- (2013) Marco Lippi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started