Lightning Talk 2: Network Macroscopic Fundamental Diagram-Informed Graph Learning Method for Traffic State Imputation
Title: Network Macroscopic Fundamental Diagram-Informed Graph Learning Method for Traffic State Imputation
Authors: Jiawei Xue, Eunhan Ka, Yiheng Feng, Satish V. Ukkusuri
Abstract: Traffic state imputation refers to the estimation of missing values of traffic variables, such as flow rate and traffic density, using available data. It furnishes traffic context for various operation tasks such as vehicle routing, and enables us to augment existing datasets (e.g., PeMS, UTD19, Uber Movement) for diverse theoretical and practical ...
Keywords: Traffic state imputation; Physics-informed machine learning; Network macroscopic funda-mental diagram; Graph neural networks