Jingqin Gao

According to our database, Jingqin Gao authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

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

CoRR, 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

2023

A Functional Approach for Analyzing Time-Dependent Driver Response Behavior to Real-World Connected Vehicle Warnings.

Di Yang, Kaan Ozbay, Jingqin Gao, Fan Zuo

IEEE Trans. Intell. Transp. Syst., March, 2023

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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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, Hani Nassif, Xuegang (Jeff) Ban

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, Hani Nassif, Joseph Y. J. Chow

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, Shri Iyer

CoRR, 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

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

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

A Novel Methodology of Time Dependent Mean Field Based Multilayer Unsupervised Anomaly Detection Using Traffic Surveillance Videos.

Fan Zuo, Jingqin Gao, Di Yang, Kaan Ozbay

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Calibration and validation of large-scale traffic simulation networks: a case study.

Bekir Bartin, Kaan Ozbay, Jingqin Gao, Abdullah Kurkcu

Proceedings of the 9th International Conference on Ambient Systems, 2018