Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description

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LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Object class segmentation of RGB-D video using recurrent convolutional neural networks

(2017) Mircea Serban Pavel et al.   NEURAL NETWORKS

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS

Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach

(2017) Hao-Fan Yang et al.   IEEE Transactions on Neural Networks and Learning Systems

Visualizing Traffic Dynamics Based on Floating Car Data

(2017) Zhengbing He et al.   Journal of Transportation Engineering Part A-Systems

An empirical convolutional neural network approach for semantic relation classification

(2016) Pengda Qin et al.   NEUROCOMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

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

Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

(2015) Xiaolei Ma et al.   PLoS One

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

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

Traffic Flow Prediction With Big Data: A Deep Learning Approach

(2014) Yisheng Lv et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

(2014) Muhammad Tayyab Asif et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Traffic Flow Prediction Model for Large-Scale Road Network Based on Cloud Computing

(2014) Zhaosheng Yang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

(2014) Jianhua Guo et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

On feature selection for traffic congestion prediction

(2012) Su Yang   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory

(2012) Jin Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm

(2011) Kit Yan Chan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

(2010) M.G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

(2009) Srinivasa Ravi Chandra et al.   Journal of Intelligent Transportation Systems

Online Learning Solutions for Freeway Travel Time Prediction

(2008) J. W. C. van Lint   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS