Fan Zuo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Anomaly Detection

Convolutional Network

Traffic Congestion

Top Venues

Publications

Zilin Bian, Jingqin Gao, Kaan Ozbay, Fan Zuo, Dachuan Zuo, Zhenning Li
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction. CoRR (2024)
Tao Li, Zilin Bian, Haozhe Lei, Fan Zuo, Ya-Ting Yang, Quanyan Zhu, Zhenning Li, Zhibin Chen, Kaan Ozbay
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management. CoRR (2024)
Zhili Wei, Chuan Xu, Kaan Ozbay, Yufeng Yang, Hong Yang, Fan Zuo, Di Yang, Chuanyun Fu
Investigating Safety of Evasion Maneuver Choices by Human-Driven Vehicles in Response to High-Density Truck Platoons Near Freeway Diverging Areas. ITSC (2023)
Di Yang, Kaan Ozbay, Jingqin Gao, Fan Zuo
A Functional Approach for Analyzing Time-Dependent Driver Response Behavior to Real-World Connected Vehicle Warnings. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Mudan Wang, Yuan Yuan, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li, Depeng Jin
Discovering Causes of Traffic Congestion via Deep Transfer Clustering. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Fan Zuo, Jingqin Gao, Kaan Ozbay, Zilin Bian, Daniel Zhang
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach. ITSC (2023)
Fuxian Li, Huan Yan, Hongjie Sui, Deng Wang, Fan Zuo, Yue Liu, Yong Li, Depeng Jin
Periodic Shift and Event-aware Spatio-Temporal Graph Convolutional Network for Traffic Congestion Prediction. SIGSPATIAL/GIS (2023)
Semiha Ergan, Zhengbo Zou, Suzana Duran Bernardes, Fan Zuo, Kaan Ozbay
Developing an integrated platform to enable hardware-in-the-loop for synchronous VR, traffic simulation and sensor interactions. Adv. Eng. Informatics 51 (2022)
Yutong Tan, Zheng Lin, Huan Liu, Fan Zuo
Improving Stylized Image Captioning with Better Use of Transformer. ICANN (3) (2022)
Mudan Wang, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li
Learning to Discover Causes of Traffic Congestion with Limited Labeled Data. KDD (2022)
Ding Wang, Fan Zuo, Jingqin Gao, Yueshuai He, Zilin Bian, Suzana Duran Bernardes, Chaekuk Na, Jingxing Wang, John Petinos, Kaan Ozbay, Joseph Y. J. Chow, Shri Iyer, Hani Nassif, Xuegang (Jeff) Ban
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. CoRR (2020)
Jingqin Gao, Abhinav Bhattacharyya, Ding Wang, Nick Hudanich, Siva Sooryaa, Muruga Thambiran, Suzana Duran Bernardes, Chaekuk Na, Fan Zuo, Zilin Bian, Kaan Ozbay, Shri Iyer, Hani Nassif, Joseph Y. J. Chow
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles. CoRR (2020)
Fan Zuo, Jingxing Wang, Jingqin Gao, Kaan Ozbay, Xuegang (Jeff) Ban, Yubin Shen, Hong Yang, Shri Iyer
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19. CoRR (2020)
Qian Ye, Xiaohong Chen, Hua Zhang, Kaan Ozbay, Fan Zuo
Public Concerns and Response Pattern toward Shared Mobility Security using Social Media Data. ITSC (2019)
Fan Zuo, Jingqin Gao, Di Yang, Kaan Ozbay
A Novel Methodology of Time Dependent Mean Field Based Multilayer Unsupervised Anomaly Detection Using Traffic Surveillance Videos. ITSC (2019)