2 citations · 5 across the 7 of their papers we have counts for
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cs.LG2023
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
Yu Tang, Li Jin, Kaan Ozbay
Well-calibrated traffic flow models are fundamental to understanding traffic phenomena and designing control strategies. Traditional calibration has been developed base on optimiza…
eess.SY2023
Robust Queue Length Estimation for Ramp Metering in a Connected Vehicle Environment
Yu Tang, Kaan Ozbay, Li Jin
Connected vehicles (CVs) can provide numerous new data via vehicle-to-vehicle or vehicle-to-infrastructure communication. These data can in turn be used to facilitate real-time tra…
eess.SY2023
How Does Driver Non-compliance Destroy Traffic Routing Control?
Yu Tang, Li Jin, Kaan Ozbay
Routing control is one of important traffic management strategies against urban congestion. However, it could be compromised by heterogeneous driver non-compliance with routing ins…