Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.19/2036
Título: Hybrid calibration of microscopic simulation models
Autor: Vasconcelos, Luís
Seco, Álvaro
Bastos Silva, Ana
Palavras-chave: Car-following
Gipps
Speed
Flow
Density
Calibration
Calibration
Macroscopic
Data: 2014
Editora: Springer International Publishing
Citação: Vasconcelos, A. L. P., Á. J. M. Seco and A. Bastos Silva (2014). Hybrid calibration of microscopic simulation models. Advances in Intelligent Systems and Computing 262. R. Rossi and J. F. de Sousa, Springer International Publishing: 307-320.
Resumo: This chapter presents a procedure to calibrate the Gipps car-following model based on macroscopic data. The proposed method extends previous approaches in order to account for the effect of driver variability in the speed–flow relationships. The procedure was applied in a real calibration problem for the city of Coimbra, Portugal, as part of a broader calibration framework that also includes a conventional optimization based on a genetic algorithm. The results show that the new methodology is promising in terms of practical applicability.
Peer review: yes
URI: http://hdl.handle.net/10400.19/2036
ISBN: 978-3-319-04629-7
Versão do Editor: http://link.springer.com/chapter/10.1007%2F978-3-319-04630-3_23
Aparece nas colecções:ESTGV - DEC - Capítulos (ou partes) de Livros

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