Hybrid deep learning models for traffic prediction in large-scale road networks

A joint temporal-spatial ensemble model for short-term traffic prediction

(2021) Ge Zheng et al.   NEUROCOMPUTING

Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting

(2020) Tanwi Mallick et al.   TRANSPORTATION RESEARCH RECORD

Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems

(2020) Azzedine Boukerche et al.   Computer Networks

Deep Wide Spatial-Temporal Based Transformer Networks Modeling for the Next Destination According to the Taxi Driver Behavior Prediction

(2020) Zain Ul Abideen et al.   Applied Sciences-Basel

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

(2020) Kan Guo et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Multi-stage attention spatial-temporal graph networks for traffic prediction

(2020) Xueyan Yin et al.   NEUROCOMPUTING

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

Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction

(2019) Youngjoo Kim et al.   IEEE SENSORS JOURNAL

Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics

(2019) Zibin Zheng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An effective spatial-temporal attention based neural network for traffic flow prediction

(2019) Loan N.N. Do et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

STAT: Spatial-Temporal Attention Mechanism for Video Captioning

(2019) Chenggang Yan et al.   IEEE TRANSACTIONS ON MULTIMEDIA

A novel residual graph convolution deep learning model for short-term network-based traffic forecasting

(2019) Yang Zhang et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Big Data Analytics in Intelligent Transportation Systems: A Survey

(2018) Li Zhu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-Term Traffic State Prediction Based on the Spatiotemporal Features of Critical Road Sections

(2018) Gang Yang et al.   SENSORS

A hybrid deep learning based traffic flow prediction method and its understanding

(2018) Yuankai Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

(2018) Zongtao Duan et al.   IEEE Access

Survey on traffic prediction in smart cities

(2018) Attila M. Nagy et al.   Pervasive and Mobile Computing

Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network

(2018) Di Zang et al.   IEEE TRANSACTIONS ON 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

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

(2017) Haiyang Yu et al.   SENSORS

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Object-Based Image Classification of Summer Crops with Machine Learning Methods

(2014) José Peña et al.   Remote Sensing

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Real-time road traffic prediction with spatio-temporal correlations

(2010) Wanli Min et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

An Aggregation Approach to Short-Term Traffic Flow Prediction

(2009) Man-Chun Tan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS