Dynamic network loading: a stochastic differentiable model that derives link state distributions

We present a dynamic network loading model that yields queue length distributions, accounts for spillbacks, and maintains a differentiable mapping from the dynamic demand on the dynamic queue lengths. The model also captures the spatial correlation of all queues adjacent to a node, and derives their...

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Podrobná bibliografie
Hlavní autoři: Bierlaire, Michel, Osorio Pizano, Carolina, Flotterod, Gunnar
Další autoři: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Médium: Článek
Jazyk:en_US
Vydáno: Elsevier 2014
On-line přístup:http://hdl.handle.net/1721.1/92345
https://orcid.org/0000-0003-0979-6052

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