Short-term forecasting of origin-destination matrix in transit system via a deep learning approach

Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

(2021) Jinlei Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

DNEAT: A novel dynamic node-edge attention network for origin-destination demand prediction

(2020) Dapeng Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term metro passenger flow forecasting using ensemble-chaos support vector regression

(2019) Zhuangbin Shi et al.   Transportmetrica A-Transport Science

Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions

(2019) Kai-Fung Chu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predicting citywide crowd flows using deep spatio-temporal residual networks

(2018) Junbo Zhang et al.   ARTIFICIAL INTELLIGENCE

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

(2018) Chuan Ding et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Inferring patterns in the multi-week activity sequences of public transport users

(2016) Gabriel Goulet-Langlois et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

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

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

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma 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

Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile

(2012) Marcela A. Munizaga et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory

(2012) Jin Wang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

(2009) Srinivasa Ravi Chandra et al.   Journal of Intelligent Transportation Systems

Traffic forecasting using least squares support vector machines

(2009) Yang Zhang et al.   Transportmetrica