Zhiyong Cui
Orcid: 0000-0002-5780-4312
According to our database1,
Zhiyong Cui
authored at least 42 papers
between 2009 and 2024.
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Bibliography
2024
CoRR, 2024
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach.
CoRR, 2024
2023
Bandit-based data poisoning attack against federated learning for autonomous driving models.
Expert Syst. Appl., October, 2023
Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.
IEEE Trans. Intell. Veh., April, 2023
Distributed Multiagent Deep Reinforcement Learning for Multiline Dynamic Bus Timetable Optimization.
IEEE Trans. Ind. Informatics, 2023
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model.
CoRR, 2023
2022
Road surface friction prediction using long short-term memory neural network based on historical data.
J. Intell. Transp. Syst., 2022
Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology.
IEEE Internet Things J., 2022
Toward a real-time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning.
Int. J. Intell. Syst., 2022
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting.
CoRR, 2022
Reinforcement Learning for Curbside Space Management with Infrastructure Autonomy and Mixed Vehicle Connectivity.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
An Incremental Learning-based Framework for Non-stationary Traffic Representations Clustering and Forecasting.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Unveiling the Influential Factors for Public Transportation Incentives Using Adaptive Stacking Extreme Gradient Boosting.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022
2021
Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit.
IEEE Trans. Intell. Transp. Syst., 2021
Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models.
IEEE Trans. Intell. Transp. Syst., 2021
Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices.
IEEE Internet Things J., 2021
Multivariate Long And Short Term LSTM-Based Network for Traffic Forecasting Under Interference: Experiments During COVID-19.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting.
IEEE Trans. Intell. Transp. Syst., 2020
CoRR, 2020
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values.
CoRR, 2020
Proceedings of the IEEE International Smart Cities Conference, 2020
2019
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment.
CoRR, 2019
Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data.
CoRR, 2019
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data.
CoRR, 2019
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data.
CoRR, 2019
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact.
CoRR, 2019
2018
Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models.
CoRR, 2018
High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting.
CoRR, 2018
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction.
CoRR, 2018
2017
IEEE Trans. Intell. Transp. Syst., 2017
2016
Int. J. Circuit Theory Appl., 2016
New progress of DRIVE Net: An E-science transportation platform for data sharing, visualization, modeling, and analysis.
Proceedings of the IEEE International Smart Cities Conference, 2016
2015
Perspectives on Stability and Mobility of Passenger's Travel Behavior through Smart Card Data.
CoRR, 2015
Predictive Traffic Assignment: A New Method and System for Optimal Balancing of Road Traffic.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
A Vision-Based Hierarchical Framework for Autonomous Front-Vehicle Taillights Detection and Signal Recognition.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
Proceedings of the IEEE First International Smart Cities Conference, 2015
2014
Characterizing channel fading in vehicular visible light communications with video data.
Proceedings of the 2014 IEEE Vehicular Networking Conference, 2014
On addressing driving inattentiveness: Robust rear light status classification using Hierarchical Matching Pursuit.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
2009
Proceedings of the 2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009