Jingqin Gao

17 papers Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multi-dimension and high-granularity equity measurement for transportation services through accessibility and reliability.
CoRR
Mengke Ma, Zilin Bian, Jingqin Gao, Hai Yang, Joseph Chow, Kaan Ozbay
2025 — conf
Assessing the Impact of Electric Vehicles on Traffic Emissions: An Agent-Based Modeling Approach considering Traveler Behavior Changes.
ANT/EDI40
Ding Wang, Mohammad Tayarani, Jingqin Gao, Zilin Bian, Kaan Ozbay, H. Oliver Gao, Joseph Y. J. Chow
2025 J jnl
Real-time anomaly detection of short-term traffic disruptions in urban areas through adaptive isolation forest.
J. Intell. Transp. Syst.
Jingqin Gao, Kaan Ozbay, Yu Hu
2025 J jnl
Scaling Traffic Insights with AI and Language Model-Powered Camera Systems for Data-Driven Transportation Decision Making.
CoRR
Fan Zuo, Donglin Zhou, Jingqin Gao, Kaan Ozbay
2024 — conf
Informed Along the Road: Roadway Capacity Driven Graph Convolution Network for Network-Wide Traffic Prediction.
ITSC
Zilin Bian, Jingqin Gao, Kaan Ozbay, Fan Zuo, Dachuan Zuo, Zhenning Li
2024 J jnl
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction.
CoRR
Zilin Bian, Jingqin Gao, Kaan Ozbay, Fan Zuo, Dachuan Zuo, Zhenning Li
2024 J jnl
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach.
CoRR
Zilin Bian, Jingqin Gao, Kaan Ozbay, Zhenning Li
2023 J jnl
A Functional Approach for Analyzing Time-Dependent Driver Response Behavior to Real-World Connected Vehicle Warnings.
IEEE Trans. Intell. Transp. Syst.
Di Yang, Kaan Ozbay, Jingqin Gao, Fan Zuo
2023 — conf
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach.
ITSC
Fan Zuo, Jingqin Gao, Kaan Ozbay, Zilin Bian, Daniel Zhang
2020 J jnl
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19.
CoRR
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, Hani Nassif, Xuegang (Jeff) Ban
2020 J jnl
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19.
CoRR
Fan Zuo, Jingxing Wang, Jingqin Gao, Kaan Ozbay, Xuegang (Jeff) Ban, Yubin Shen, Hong Yang, Shri Iyer
2020 J jnl
Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit.
CoRR
Ding Wang, Brian Yueshuai He, Jingqin Gao, Joseph Y. J. Chow, Kaan Ozbay, Shri Iyer
2020 — conf
Investigation of the Extent of Field Data Required for Reliable Calibration and Validation of Large Scale Traffic Simulation Models: A Case Study.
ITSC
Bekir Bartin, Kaan Özbay, Jingqin Gao, Abdullah Kurkcu
2020 J jnl
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles.
CoRR
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
2019 — conf
A Novel Methodology of Time Dependent Mean Field Based Multilayer Unsupervised Anomaly Detection Using Traffic Surveillance Videos.
ITSC
Fan Zuo, Jingqin Gao, Di Yang, Kaan Ozbay
2019 J jnl
Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology.
IEEE Trans. Intell. Transp. Syst.
Weinan Gao, Jingqin Gao, Kaan Ozbay, Zhong-Ping Jiang
2018 — conf
Calibration and validation of large-scale traffic simulation networks: a case study.
ANT/SEIT
Bekir Bartin, Kaan Ozbay, Jingqin Gao, Abdullah Kurkcu