Urban flow prediction with spatial–temporal neural ODEs

Automated taxis’ dial-a-ride problem with ride-sharing considering congestion-based dynamic travel times

(2020) Xiao Liang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

(2020) Byeonghyeop Yu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Recommendation via Collaborative Autoregressive Flows

(2020) Fan Zhou et al.   NEURAL NETWORKS

Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies

(2019) Zhengchao Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Bus travel time prediction with real-time traffic information

(2019) Jiaman Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term prediction of lane-level traffic speeds: A fusion deep learning model

(2019) Yuanli Gu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting

(2019) Shengnan Guo 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

An effective spatial-temporal attention based neural network for traffic flow prediction

(2019) Loan N.N. Do et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Two-level Traffic Light Control Strategy for Preventing Incident-Based Urban Traffic Congestion

(2018) Liang Qi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

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

Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach

(2018) Filipe Rodrigues et al.   Information Fusion

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING

Construction of traffic state vector using mutual information for short-term traffic flow prediction

(2018) Unsok Ryu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Unveiling movement uncertainty for robust trajectory similarity analysis

(2017) Andre Salvaro Furtado et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

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

Deep learning for short-term traffic flow prediction

(2017) Nicholas G. Polson et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Real-time road traffic prediction with spatio-temporal correlations

(2010) Wanli Min 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