Multi-graph fusion based graph convolutional networks for traffic prediction

Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting

(2022) Youcef Djenouri et al.   Future Generation Computer Systems-The International Journal of eScience

Deep Fuzzy Contrast-Set Deviation Point Representation and Trajectory Detection

(2022) Usman Ahmed et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics

(2021) Asma Belhadi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection

(2020) Asma Belhadi et al.   Information Fusion

Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

(2020) Mingqi Lv et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories

(2020) Asma Belhadi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A Multi-Stream Feature Fusion Approach for Traffic Prediction

(2020) Zhishuai Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

(2019) Ling Zhao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING

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

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

Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences

(2012) H. Chang et al.   IET Intelligent Transport Systems