| dc.contributor.author | Vasconcelos, Luís | |
| dc.contributor.author | Seco, Álvaro | |
| dc.contributor.author | Bastos Silva, Ana | |
| dc.date.accessioned | 2014-03-11T16:26:29Z | |
| dc.date.available | 2014-03-11T16:26:29Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | 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. | por |
| dc.identifier.citation | 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. | por |
| dc.identifier.isbn | 978-3-319-04629-7 | |
| dc.identifier.uri | http://hdl.handle.net/10400.19/2036 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Springer International Publishing | por |
| dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F978-3-319-04630-3_23 | |
| dc.subject | Car-following | por |
| dc.subject | Gipps | por |
| dc.subject | Speed | por |
| dc.subject | Flow | por |
| dc.subject | Density | por |
| dc.subject | Calibration | por |
| dc.subject | Calibration | por |
| dc.subject | Macroscopic | por |
| dc.title | Hybrid calibration of microscopic simulation models | por |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Portugal | por |
| oaire.citation.endPage | 320 | por |
| oaire.citation.startPage | 307 | por |
| rcaap.rights | restrictedAccess | por |
| rcaap.type | bookPart | por |
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