Related references
Note: Only part of the references are listed.A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes
Yibin Ren et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2020)
A Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data
Yang Zhang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Graph deep learning model for network-based predictive hotspot mapping of sparse spatio-temporal events
Yang Zhang et al.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2020)
Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction
Xinxin Feng et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
A graph deep learning method for short-term traffic forecasting on large road networks
Yang Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)
Deep spatio-temporal residual neural networks for road-network-based data modeling
Yibin Ren et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2019)
Fine-grained prediction of urban population using mobile phone location data
Jie Chen et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2018)
Untitled
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
Predicting station-level hourly demand in a large-scale bike sharing network: A graph convolutional neural network approach
Lei Lin et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
LSTM network: a deep learning approach for short-term traffic forecast
Zheng Zhao et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2017)
Understanding structure of urban traffic network based on spatial-temporal correlation analysis
Yanfang Yang et al.
MODERN PHYSICS LETTERS B (2017)
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma et al.
SENSORS (2017)
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
Haiyang Yu et al.
SENSORS (2017)
Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach
Jintao Ke et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Editorial: human dynamics in the mobile and big data era
Shih-Lung Shaw et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2016)
A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
Pinlong Cai et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
Short-Term Traffic States Forecasting Considering Spatial-Temporal Impact on an Urban Expressway
Peng Chen et al.
TRANSPORTATION RESEARCH RECORD (2016)
Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
Jianhua Guo et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Local online kernel ridge regression for forecasting of urban travel times
James Haworth et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Short-term traffic forecasting: Where we are and where we're going
Eleni I. Vlahogianni et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
A Dynamic Spatial Weight Matrix and Localized Space-Time Autoregressive Integrated Moving Average for Network Modeling
Tao Cheng et al.
GEOGRAPHICAL ANALYSIS (2014)
Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
Yu Wei et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2012)
Spatio-temporal autocorrelation of road network data
Tao Cheng et al.
JOURNAL OF GEOGRAPHICAL SYSTEMS (2012)
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions
Manoel Castro-Neto et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Spatio-temporal short-term urban traffic volume forecasting using genetically optimized modular networks
Eleni I. Vlahogianni et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2007)
A Bayesian network approach to traffic flow forecasting
SL Sun et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)
Comparison of parametric and nonparametric models for traffic flow forecasting
BL Smith et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2002)
An object-oriented neural network approach to short-term traffic forecasting
H Dia
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2001)
Share Paper
