Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods. - Jian Zhang 011; Zhibin Li 003; Ziyuan Pu; Chengcheng Xu 001 (IEEE Access, 2018)

Procedure for Determining the Deployment Locations of Variable Speed Limit Signs to Reduce Crash Risks at Freeway Recurrent Bottlenecks. - Chengcheng Xu 001; Zhibin Li 003; Ziyuan Pu; Yanyong Guo; Pan Liu (IEEE Access, 2019)

Personalized Context-Aware Multi-Modal Transportation Recommendation. - Meixin Zhu; Jingyun Hu; Hao (Frank) Yang; Ziyuan Pu; Yinhai Wang (CoRR, 2019)

Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data. - Ziyuan Pu; Zhiyong Cui; Shuo Wang 017; Qianmu Li; 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)

Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data. - Ziyuan Pu; Shuo Wang 017; Chenglong Liu; Zhiyong Cui; 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)

Graph Markov Network for Traffic Forecasting with Missing Data. - Zhiyong Cui; Longfei Lin; Ziyuan Pu; Yinhai Wang (CoRR, 2019)

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)

Edge Computing-Enabled Crowd Density Estimation based on Lightweight Convolutional Neural Network. - Shuo Wang 017; Ziyuan Pu; Qianmu Li; Yaming Guo; Meng Li 017 (ISC2, 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 006; Yinhai Wang (IEEE Internet Things J., 2021)

Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks Near Traffic Oscillations on Freeways. - Zhibin Li 003; Chengcheng Xu 001; Yanyong Guo; Pan Liu; Ziyuan Pu (IEEE Intell. Transp. Syst. Mag., 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)

Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System. - Ziyuan Pu; Zhibin Li 003; Ying Jiang; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2021)

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)

TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer. - Meixin Zhu; Simon S. Du; Xuesong Wang 006; Hao (Frank) Yang; Ziyuan Pu; Yinhai Wang (CoRR, 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 183; Linchuan Yang (CoRR, 2022)

Estimating crowd density with edge intelligence based on lightweight convolutional neural networks. - Shuo Wang 017; Ziyuan Pu; Qianmu Li; Yinhai Wang (Expert Syst. Appl., 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 017; Yinhai Wang (IEEE Internet Things J., 2022)

Edge-Artificial Intelligence-Powered Parking Surveillance With Quantized Neural Networks. - Yifan Zhuang; Ziyuan Pu; Hao Yang 018; Yinhai Wang (IEEE Intell. Transp. Syst. Mag., 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)

Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer. - Haoyang Yan; Xiaolei Ma; Ziyuan Pu (IEEE Trans. Intell. Transp. Syst., 2022)

Truck Parking Pattern Aggregation and Availability Prediction by Deep Learning. - Hao Yang 018; Chenxi Liu; Yifan Zhuang; Wei Sun; Karthik Murthy; Ziyuan Pu; Yinhai Wang (IEEE Trans. Intell. Transp. Syst., 2022)

Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection. - Yifan Zhuang; Ziyuan Pu; Jia Hu 003; Yinhai Wang (IEEE Trans. Netw. Sci. Eng., 2022)

Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network. - Tenglong Li; Dong Ngoduy; Seunghyeon Lee; Ziyuan Pu (MT-ITS, 2023)

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach. - Shuang Li 016; Ziyuan Pu; Zhiyong Cui; Seunghyeon Lee; Xiucheng Guo; Dong Ngoduy (CoRR, 2024)

A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data. - Junlan Chen; Ziyuan Pu; Nan-Ning Zheng 001; Xiao Wen; Hongliang Ding; Xiucheng Guo (CoRR, 2024)

Spatio-Temporal Graphical Counterfactuals: An Overview. - Mingyu Kang; Duxin Chen; Ziyuan Pu; Jianxi Gao; Wenwu Yu (CoRR, 2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Chunlin Tian; Yuming Huang; Zilin Bian; Kaiqun Zhu; Guofa Li; Ziyuan Pu; Jia Hu 003; Zhiyong Cui; et al. (CoRR, 2024)

MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction. - Shuang Li 016; Ziyuan Pu; Nan Zhang; Duxin Chen; Lu Dong; Daniel J. Graham; Yinhai Wang (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)

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)

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)

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)

Adversarial Diffusion Attacks on Graph-Based Traffic Prediction Models. - Lyuyi Zhu; Kairui Feng; Ziyuan Pu; Wei Ma (IEEE Internet Things J., 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., 2024)

An Efficient Gated-Attention Spatiotemporal Convolutional Network for Economical Operation of Electric Vehicle Charging Stations. - Yiqun Li; Xian Zhang 003; Guibin Wang; Fushuan Wen; Ziyuan Pu; Edward Chung 001 (IEEE Trans. Intell. Transp. Syst., 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., 2024)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. - Chengyue Wang 001; Haicheng Liao; Bonan Wang; Yanchen Guan; Bin Rao; Ziyuan Pu; Zhiyong Cui; Cheng-Zhong Xu 001; Zhenning Li (AAAI, 2025)

Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid VAE-Diffusion-Based Generative Neural Networks. - Junlan Chen; Qijie He; Pei Liu; Wei Ma; Ziyuan Pu (CoRR, 2025)

Spatiotemporal Prediction of Secondary Crashes by Rebalancing Dynamic and Static Data with Generative Adversarial Networks. - Junlan Chen; Yiqun Li; Chenyu Ling; Ziyuan Pu; Xiucheng Guo (CoRR, 2025)

Risk-Informed Diffusion Transformer for Long-Tail Trajectory Prediction in the Crash Scenario. - Junlan Chen; Pei Liu; Zihao Zhang; Hongyi Zhao; Yufei Ji; Ziyuan Pu (CoRR, 2025)

A Fundamental-Diagram-Informed Spatial Partitioning Method for Heterogeneous Traffic Networks. - Fan Ding; Yu Zhao; Huachun Tan; Zhao Liu; Ziyuan Pu (IEEE Internet Things J., 2025)