Ziyuan Pu

According to our database, Ziyuan Pu authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

New Spatial Analysis and Hybrid Heuristics Enhance Truck Freight Tonnage Estimation Based on Weigh-in-Motion Data.

Dan Liu, Ziyuan Pu, Yinhai Wang, Tom Van Woensel, Evangelos I. Kaisar

IEEE Trans. Intell. Transp. Syst., December, 2024

An Efficient Gated-Attention Spatiotemporal Convolutional Network for Economical Operation of Electric Vehicle Charging Stations.

Yiqun Li, Xian Zhang, Guibin Wang, Fushuan Wen, Ziyuan Pu, Edward Chung

IEEE Trans. Intell. Transp. Syst., November, 2024

Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles.

Wai Tong Chor, Chee Pin Tan, A. S. M. Bakibillah, Ziyuan Pu, Junn Yong Loo

IEEE Trans. Intell. Veh., January, 2024

Adversarial Diffusion Attacks on Graph-Based Traffic Prediction Models.

Lyuyi Zhu, Kairui Feng, Ziyuan Pu, Wei Ma

IEEE Internet Things J., January, 2024

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving.

Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Chengzhong Xu, Zhenning Li

CoRR, 2024

Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach.

Pei Liu, Haipeng Liu, Yiqun Li, Tianyu Shi, Meixin Zhu, Ziyuan Pu

CoRR, 2024

Kaninfradet3D:A Road-side Camera-LiDAR Fusion 3D Perception Model based on Nonlinear Feature Extraction and Intrinsic Correlation.

Pei Liu, Nanfang Zheng, Yiqun Li, Junlan Chen, Ziyuan Pu

CoRR, 2024

HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective.

Pei Liu, Zihao Zhang, Haipeng Liu, Nanfang Zheng, Meixin Zhu, Ziyuan Pu

CoRR, 2024

A hybrid neural network for real-time OD demand calibration under disruptions.

Takao Dantsuji, Dong Ngoduy, Ziyuan Pu, Seunghyeon Lee, Hai L. Vu

CoRR, 2024

MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction.

Shuang Li, Ziyuan Pu, Nan Zhang, Duxin Chen, Lu Dong, Daniel J. Graham, Yinhai Wang

CoRR, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.

Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Chunlin Tian, Yuming Huang, Zilin Bian, Kaiqun Zhu, Guofa Li, Ziyuan Pu, Jia Hu, Zhiyong Cui, Chengzhong Xu

CoRR, 2024

Spatio-Temporal Graphical Counterfactuals: An Overview.

Mingyu Kang, Duxin Chen, Ziyuan Pu, Jianxi Gao, Wenwu Yu

CoRR, 2024

A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data.

Junlan Chen, Ziyuan Pu, Nan-Ning Zheng, Xiao Wen, Hongliang Ding, Xiucheng Guo

CoRR, 2024

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach.

Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy

CoRR, 2024

2023

Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network.

Tenglong Li, Dong Ngoduy, Seunghyeon Lee, Ziyuan Pu

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

2022

Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection.

Yifan Zhuang, Ziyuan Pu, Jia Hu, Yinhai Wang

IEEE Trans. Netw. Sci. Eng., 2022

Truck Parking Pattern Aggregation and Availability Prediction by Deep Learning.

Hao Yang, Chenxi Liu, Yifan Zhuang, Wei Sun, Karthik Murthy, Ziyuan Pu, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer.

Haoyang Yan, Xiaolei Ma, Ziyuan Pu

IEEE Trans. Intell. Transp. Syst., 2022

Road surface friction prediction using long short-term memory neural network based on historical data.

Ziyuan Pu, Chenglong Liu, Xianming Shi, Zhiyong Cui, Yinhai Wang

J. Intell. Transp. Syst., 2022

Edge-Artificial Intelligence-Powered Parking Surveillance With Quantized Neural Networks.

Yifan Zhuang, Ziyuan Pu, Hao Yang, Yinhai Wang

IEEE Intell. Transp. Syst. Mag., 2022

Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology.

Ziyuan Pu, Zhiyong Cui, Jinjun Tang, Shuo Wang, Yinhai Wang

IEEE Internet Things J., 2022

Estimating crowd density with edge intelligence based on lightweight convolutional neural networks.

Shuo Wang, Ziyuan Pu, Qianmu Li, Yinhai Wang

Expert Syst. Appl., 2022

Revealing the real-world CO2 emission reduction of ridesplitting and its determinants based on machine learning.

Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang

CoRR, 2022

TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer.

Meixin Zhu, Simon S. Du, Xuesong Wang, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang

CoRR, 2022

Robust estimation of traffic density with missing data using an adaptive-R extended Kalman filter.

A. S. M. Bakibillah, Yong Hwa Tan, Junn Yong Loo, Chee Pin Tan, Md. Abdus Samad Kamal, Ziyuan Pu

Appl. Math. Comput., 2022

2021

Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System.

Ziyuan Pu, Zhibin Li, Ying Jiang, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2021

A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices.

Ruimin Ke, Yifan Zhuang, Ziyuan Pu, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2021

Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks Near Traffic Oscillations on Freeways.

Zhibin Li, Chengcheng Xu, Yanyong Guo, Pan Liu, Ziyuan Pu

IEEE Intell. Transp. Syst. Mag., 2021

Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices.

Ziyuan Pu, Meixin Zhu, Wenxiang Li, Zhiyong Cui, Xiaoyu Guo, Yinhai Wang

IEEE Internet Things J., 2021

Edge Computing-Enabled Crowd Density Estimation based on Lightweight Convolutional Neural Network.

Shuo Wang, Ziyuan Pu, Qianmu Li, Yaming Guo, Meng Li

Proceedings of the IEEE International Smart Cities Conference, 2021

2020

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values.

Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang

CoRR, 2020

2019

Graph Markov Network for Traffic Forecasting with Missing Data.

Zhiyong Cui, Longfei Lin, Ziyuan Pu, Yinhai Wang

CoRR, 2019

Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment.

Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang

CoRR, 2019

Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data.

Ziyuan Pu, Shuo Wang, Chenglong Liu, Zhiyong Cui, Yinhai Wang

CoRR, 2019

Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data.

Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang

CoRR, 2019

Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data.

Ziyuan Pu, Zhiyong Cui, Shuo Wang, Qianmu Li, Yinhai Wang

CoRR, 2019

Personalized Context-Aware Multi-Modal Transportation Recommendation.

Meixin Zhu, Jingyun Hu, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang

CoRR, 2019

Procedure for Determining the Deployment Locations of Variable Speed Limit Signs to Reduce Crash Risks at Freeway Recurrent Bottlenecks.

Chengcheng Xu, Zhibin Li, Ziyuan Pu, Yanyong Guo, Pan Liu

IEEE Access, 2019

2018

Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods.

Jian Zhang, Zhibin Li, Ziyuan Pu, Chengcheng Xu

IEEE Access, 2018