Multi-community passenger demand prediction at region level based on spatio-temporal graph convolutional network

Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches

(2019) Hao Yu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction

(2019) Lingbo Liu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Passenger flow prediction for new line using region dividing and fuzzy boundary processing

(2018) Haitao Yu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A hybrid deep learning based traffic flow prediction method and its understanding

(2018) Yuankai Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach

(2018) Lei Lin et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services

(2018) Jintao Ke et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

(2017) Jun Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic

(2017) Jinjun 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 hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation

(2015) Jinjun Tang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting Taxi–Passenger Demand Using Streaming Data

(2013) Luis Moreira-Matias et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Fast unfolding of communities in large networks

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