A novel residual graph convolution deep learning model for short-term network-based traffic forecasting

A graph deep learning method for short‐term traffic forecasting on large road networks

(2019) Yang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep spatio-temporal residual neural networks for road-network-based data modeling

(2019) Yibin Ren et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes

(2019) Yibin Ren et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data

(2019) Yang Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Fine-grained prediction of urban population using mobile phone location data

(2018) Jie Chen et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction

(2018) Xinxin Feng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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(2018)   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

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

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

Understanding structure of urban traffic network based on spatial-temporal correlation analysis

(2017) Yanfang Yang et al.   MODERN PHYSICS LETTERS B

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

Editorial: human dynamics in the mobile and big data era

(2016) Shih-Lung Shaw et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting

(2016) Pinlong Cai et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-Term Traffic States Forecasting Considering Spatial–Temporal Impact on an Urban Expressway

(2016) Peng Chen et al.   TRANSPORTATION RESEARCH RECORD

Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

(2014) Jianhua Guo et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Local online kernel ridge regression for forecasting of urban travel times

(2014) James Haworth 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

Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks

(2011) Yu Wei et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS