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Jingqin Gao
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2020 – today
- 2025
- [i7]Mengke Ma, Zilin Bian, Jingqin Gao, Hai Yang, Joseph Chow, Kaan Ozbay:
A multi-dimension and high-granularity equity measurement for transportation services through accessibility and reliability. CoRR abs/2501.14761 (2025) - 2024
- [i6]Zilin Bian, Jingqin Gao, Kaan Ozbay, Zhenning Li:
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach. CoRR abs/2406.13038 (2024) - [i5]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 abs/2406.13057 (2024) - 2023
- [j2]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): 3438-3447 (2023) - [c4]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: 3235-3240 - 2020
- [c3]Bekir Bartin, Kaan Özbay, Jingqin Gao
, Abdullah Kurkcu:
Investigation of the Extent of Field Data Required for Reliable Calibration and Validation of Large Scale Traffic Simulation Models: A Case Study. ITSC 2020: 1-6 - [i4]Ding Wang, Brian Yueshuai He, Jingqin Gao, Joseph Y. J. Chow, Kaan Ozbay, Shri Iyer:
Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit. CoRR abs/2006.13368 (2020) - [i3]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 abs/2006.14882 (2020) - [i2]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 abs/2009.14018 (2020) - [i1]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:
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. CoRR abs/2010.09648 (2020)
2010 – 2019
- 2019
- [j1]Weinan Gao
, Jingqin Gao
, Kaan Ozbay, Zhong-Ping Jiang
:
Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology. IEEE Trans. Intell. Transp. Syst. 20(10): 3796-3805 (2019) - [c2]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: 376-381 - 2018
- [c1]Bekir Bartin
, Kaan Ozbay, Jingqin Gao
, Abdullah Kurkcu:
Calibration and validation of large-scale traffic simulation networks: a case study. ANT/SEIT 2018: 844-849
Coauthor Index
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last updated on 2025-02-27 22:47 CET by the dblp team
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