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Found 2 papers, 1 papers with code
Empirical validation of network learning with taxi GPS data from Wuhan, China
In prior research, a statistically cheap method was developed to monitor transportation network performance by using only a few groups of agents without having to forecast the population flows.
Network learning via multi-agent inverse transportation problems
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).
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