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Spatial-Temporal Chebyshev Graph Neural Network for Traffic Flow Prediction in IoT-Based ITS

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Study on Subway passenger flow prediction based on deep recurrent neural network

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(2020) Yihuan Qiao et al.   MODERN PHYSICS LETTERS B

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

A Hybrid Dual Kalman Filtering Model for Short-term Traffic Flow Forecasting

(2019) Teng Zhou et al.   IET Intelligent Transport Systems

Short-Term Traffic Flow Prediction Based on Least Square Support Vector Machine with Hybrid Optimization Algorithm

(2019) Chuan Luo et al.   NEURAL PROCESSING LETTERS

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

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

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

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SARIMA modelling approach for railway passenger flow forecasting

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SARIMA modelling approach for railway passenger flow forecasting

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