TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification

19 June 2022

Papers citing "TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification"

3 / 3 papers shown

Title
AI-Powered Urban Transportation Digital Twin: Methods and Applications Xuan Di Yongjie Fu Mehmet K.Turkcan Mahshid Ghasemi Zhaobin Mo Chengbo Zang Abhishek Adhikari Z. Kostić Gil Zussman AI4CE 39 0 0 30 Dec 2024
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach Ting Wang Ye Li Rongjun Cheng Guojian Zou Takao Dantsujic Dong Ngoduy 32 2 0 01 Sep 2024
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 29 28 0 03 Mar 2023