Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact

Traffic speed prediction for urban transportation network: A path based deep learning approach

(2019) Jiawei Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Innovative method for traffic data imputation based on convolutional neural network

(2018) Yifan Zhuang et al.   IET Intelligent Transport Systems

Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos

(2017) Ruimin Ke et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Traffic flow data compression considering burst components

(2017) Shuo Feng et al.   IET Intelligent Transport Systems

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

(2017) Haiyang Yu et al.   SENSORS

Deep learning

(2015) Yann LeCun et al.   NATURE

Multilane first-order traffic flow model with endogenous representation of lane-flow equilibrium

(2015) Yasuhiro Shiomi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Flexible and Robust Method for Missing Loop Detector Data Imputation

(2015) Kristian Henrickson et al.   TRANSPORTATION RESEARCH RECORD

Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

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