Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow

An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership

(2020) Yuxin He et al.   TRANSPORTATION

Multi-Graph Convolutional Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit

(2020) Jinlei Zhang et al.   IET Intelligent Transport Systems

Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

(2020) Mingqi Lv et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit

(2020) Jinlei Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Global-Local Temporal Convolutional Network for Traffic Flow Prediction

(2020) Yajie Ren et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features

(2019) Dan Yang et al.   IET Intelligent Transport Systems

Geographically Modeling and Understanding Factors Influencing Transit Ridership: An Empirical Study of Shenzhen Metro

(2019) Yuxin He et al.   Applied Sciences-Basel

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

(2019) Ling Zhao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predicting citywide crowd flows using deep spatio-temporal residual networks

(2018) Junbo Zhang et al.   ARTIFICIAL INTELLIGENCE

PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction

(2018) Meng Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility

(2018) Chuan Ding et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system

(2018) Yi Ai et al.   NEURAL COMPUTING & APPLICATIONS

Efficient kNN Classification With Different Numbers of Nearest Neighbors

(2018) Shichao Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Predicting subway passenger flows under different traffic conditions

(2018) Ximan Ling et al.   PLoS One

Forecasting Short-Term Passenger Flow: An Empirical Study on Shenzhen Metro

(2018) Liyang Tang 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

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

(2017) Jintao Ke 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

Long-term forecasting oriented to urban expressway traffic situation

(2016) Fei Su et al.   Advances in Mechanical Engineering

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

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   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