Network learning via multi-agent inverse transportation problems

1 code implementation • 14 Sep 2016 • Susan Jia Xu, Mehdi Nourinejad, Xuebo Lai, Joseph Y. J. Chow

New inverse optimization models and supporting algorithms are proposed to learn the parameters of heterogeneous travelers' route behavior to infer shared network state parameters (e. g. link capacity dual prices).

Descriptive