Jingqin Gao
Orcid: 0000-0002-1718-2432
According to our database1,
Jingqin Gao
authored at least 10 papers
between 2018 and 2023.
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Bibliography
2023
A Functional Approach for Analyzing Time-Dependent Driver Response Behavior to Real-World Connected Vehicle Warnings.
IEEE Trans. Intell. Transp. Syst., March, 2023
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach.
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.
CoRR, 2020
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles.
CoRR, 2020
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19.
CoRR, 2020
Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit.
CoRR, 2020
Investigation of the Extent of Field Data Required for Reliable Calibration and Validation of Large Scale Traffic Simulation Models: A Case Study.
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.
IEEE Trans. Intell. Transp. Syst., 2019
A Novel Methodology of Time Dependent Mean Field Based Multilayer Unsupervised Anomaly Detection Using Traffic Surveillance Videos.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Proceedings of the 9th International Conference on Ambient Systems, 2018