Physics-informed Machine Learning of Parameterized Fundamental Diagrams

no code implementations • 1 Aug 2022 • James Koch, Thomas Maxner, Vinay Amatya, Andisheh Ranjbari, Chase Dowling

For simulated data, we generalize this relationship by introducing contextual information at the learning stage, i. e. vehicle composition, driver behavior, curb zoning configuration, etc, and show how the speed-flow relationship changes as a function of these exogenous factors independent of roadway design.

BIG-bench Machine Learning Physics-informed machine learning