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Gaussian Process Metamodels for Sensitivity Analysis of Traffic Simulation Models Case Study of AIMSUN Mesoscopic Model

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dc.contributor Universitat de Vic. Facultat d'Empresa i Comunicació
dc.contributor.author Ciuffo, Biagio
dc.contributor.author Casas Vilaró, Jordi
dc.contributor.author Montanino, Marcello
dc.contributor.author Perarnau i Codina, Josep
dc.date.accessioned 2014-05-08T10:03:25Z
dc.date.available 2014-05-08T10:03:25Z
dc.date.created 2013
dc.date.issued 2013
dc.identifier.citation Ciuffo, B., Casas Vilaró, J., Lo Montanino, M., Perarnau, J., & Punzo, V. (2013). Gaussian process metamodels for sensitivity analysis of traffic simulation models case study of AIMSUN mesoscopic model. Transportation Research Record, (2390), 87-98. doi:10.3141/2390-10
dc.identifier.issn 0361-1981
dc.identifier.uri http://hdl.handle.net/10854/3037
dc.description.abstract This study adopted a metamodel-based technique for model sensitivity analysis and applied it to the AIMSUN mesoscopic model. The application of sensitivity analysis is crucial for the true comprehension and correct use of the traffic simulation model, although the main obstacle to an extensive use of the most sophisticated techniques is the high number of model runs such techniques usually require. For this reason, the possibility of performing a sensitivity analysis was tested not on a model but on its metamodel approximation. Important issues concerning metamodel estimation were investigated and commented on in the specific application to the AIMSUN model. Among these issues are the importance of selecting a proper sampling strategy based on low-discrepancy random number sequences and the importance of selecting a class of metamodels able to reproduce the inputs–outputs relationship in a robust and reliable way. Sobol sequences and Gaussian process metamodels were recognized as the appropriate choices. The proposed methodology was assessed by comparing the results of the application of variance-based sensitivity analysis techniques with the simulation model and with a metamodel estimated with 512 model runs for a variety of traffic scenarios and model outputs. Results confirmed the power of the proposed methodology and also made a more extensive application of sensitivity analysis techniques available for complex traffic simulation models. ca_ES
dc.format application/pdf
dc.format.extent 12 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Transportation Research Board ca_ES
dc.rights (c) National Academy of Science
dc.rights Tots els drets reservats ca_ES
dc.subject.other Circulació -- Simulació per ordinador ca_ES
dc.title Gaussian Process Metamodels for Sensitivity Analysis of Traffic Simulation Models Case Study of AIMSUN Mesoscopic Model ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.3141/2390-10
dc.relation.publisherversion http://trid.trb.org/view/1241041
dc.rights.accesRights info:eu-repo/semantics/closedAccess ca_ES
dc.type.version info:eu-repo/publishedVersion ca_ES
dc.indexacio Indexat a SCOPUS
dc.indexacio Indexat a WOS/JCR ca_ES

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