A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models

Addressing complexity in transportation in cases such as disruptive trends or disaggregated management strategies has become increasingly important. This in turn is resulting in the rising adoption of Agent-Based and Activity-Based modeling. Still, a broad adoption is hindered by the high complexity...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE open journal of intelligent transportation systems Ročník 4; s. 740 - 754
Hlavní autoři:	Agriesti, Serio, Kuzmanovski, Vladimir, Hollmen, Jaakko, Roncoli, Claudio, Nahmias-Biran, Bat-Hen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Activity-based transport modeling Algorithms Bayes methods Bayesian analysis Bayesian optimization Behavioral sciences Calibration Complexity Computational modeling Data models machine learning model calibration Optimization Parameters surrogate model Transportation Transportation models
ISSN:	2687-7813, 2687-7813
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!