8 citations · 8 across the 4 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…
cs.LG2019★ 8 cited
Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
Xi Xiong, Kaan Ozbay, Li Jin +1
Modern intelligent transportation systems provide data that allow real-time dynamic demand prediction, which is essential for planning and operations. The main challenge of predict…