Calibration and validation of large-scale traffic simulation networks: a case study. - Bekir Bartin; Kaan Ozbay; Jingqin Gao; Abdullah Kurkcu (ANT/SEIT, 2018)

A Novel Methodology of Time Dependent Mean Field Based Multilayer Unsupervised Anomaly Detection Using Traffic Surveillance Videos. - Fan Zuo; Jingqin Gao; Di Yang 006; Kaan Ozbay (ITSC, 2019)

Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology. - Weinan Gao; Jingqin Gao; Kaan Ozbay; Zhong-Ping Jiang (IEEE Trans. Intell. Transp. Syst., 2019)

Investigation of the Extent of Field Data Required for Reliable Calibration and Validation of Large Scale Traffic Simulation Models: A Case Study. - Bekir Bartin; Kaan Özbay; Jingqin Gao; Abdullah Kurkcu (ITSC, 2020)

Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit. - Ding Wang; Brian Yueshuai He; Jingqin Gao; Joseph Y. J. Chow; Kaan Ozbay; Shri Iyer (CoRR, 2020)

An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19. - Fan Zuo; Jingxing Wang; Jingqin Gao; Kaan Ozbay; Xuegang (Jeff) Ban; Yubin Shen; Hong Yang 004; Shri Iyer (CoRR, 2020)

Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles. - 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; et al. (CoRR, 2020)

Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. - Ding Wang; Fan Zuo; Jingqin Gao; Brian Yueshuai He; Zilin Bian; Suzana Duran Bernardes; Chaekuk Na; Jingxing Wang; John Petinos; Kaan Ozbay; Joseph Y. J. Chow; Shri Iyer; et al. (CoRR, 2020)

Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach. - Fan Zuo; Jingqin Gao; Kaan Ozbay; Zilin Bian; Daniel Zhang (ITSC, 2023)

A Functional Approach for Analyzing Time-Dependent Driver Response Behavior to Real-World Connected Vehicle Warnings. - Di Yang 006; Kaan Ozbay; Jingqin Gao; Fan Zuo (IEEE Trans. Intell. Transp. Syst., 2023)

Informed Along the Road: Roadway Capacity Driven Graph Convolution Network for Network-Wide Traffic Prediction. - Zilin Bian; Jingqin Gao; Kaan Ozbay; Fan Zuo; Dachuan Zuo; Zhenning Li (ITSC, 2024)

Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach. - Zilin Bian; Jingqin Gao; Kaan Ozbay; Zhenning Li (CoRR, 2024)

Assessing the Impact of Electric Vehicles on Traffic Emissions: An Agent-Based Modeling Approach considering Traveler Behavior Changes. - Ding Wang; Mohammad Tayarani; Jingqin Gao; Zilin Bian; Kaan Ozbay; H. Oliver Gao; Joseph Y. J. Chow (ANT/EDI40, 2025)

A multi-dimension and high-granularity equity measurement for transportation services through accessibility and reliability. - Mengke Ma; Zilin Bian; Jingqin Gao; Hai Yang; Joseph Chow 001; Kaan Ozbay (CoRR, 2025)

Real-time anomaly detection of short-term traffic disruptions in urban areas through adaptive isolation forest. - Jingqin Gao; Kaan Ozbay; Yu Hu (J. Intell. Transp. Syst., 2025)