Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction

Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues

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A Graph Convolutional Stacked Bidirectional Unidirectional-LSTM Neural Network for Metro Ridership Prediction

(2021) Pengfei Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Analysis of the departure time choices of metro passengers during peak hours

(2020) Qian Cheng et al.   IET Intelligent Transport Systems

Urban flow prediction from spatiotemporal data using machine learning: A survey

(2020) Peng Xie et al.   Information Fusion

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

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A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning 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

Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System

(2020) Yongshun Gong et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

(2020) Jiexia Ye et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction

(2020) Lingbo Liu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

DeepPF: A deep learning based architecture for metro passenger flow prediction

(2019) Yang Liu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

(2019) Junbo Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

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

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

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

Geospatial data to images: A deep-learning framework for traffic forecasting

(2018) Weiwei Jiang et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction

(2018) Xiaolei Ma et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

(2018) Liyang Tang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

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

Short-term traffic flow rate forecasting based on identifying similar traffic patterns

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Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

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Seasonal Autoregressive Integrated Moving Average and Support Vector Machine Models

(2011) Ning Zhang et al.   TRANSPORTATION RESEARCH RECORD