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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/8C2C03D4-229F-4F07-8AB0-A934525C4DA9 | - |
| Identifier | https://doi.org/10.1109/ITSC.2016.7795581 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | Calibration of a second-order traffic flow model using a metamodel-assisted Differential Evolution algorithm | en |
| Creator | Porfyri Kalliroi | en |
| Creator | Πορφυρη Καλλιρροη | el |
| Creator | Nikolos Ioannis | en |
| Creator | Νικολος Ιωαννης | el |
| Creator | Delis Anargyros | en |
| Creator | Δελης Αναργυρος | el |
| Creator | Papageorgiou Markos | en |
| Creator | Παπαγεωργιου Μαρκος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Description | The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 321132, project TRAMAN21. | en |
| Content Summary | With the increasingly widespread use of traffic flow simulation models, several questions concerning the reliability, efficiency and accuracy of such models need to be addressed convincingly. In general, the most time-efficient traffic flow models are based on the macroscopic approach to describe traffic dynamics. Macroscopic models reproduce the evolution of aggregated traffic characteristics over time and space with respect to observable variables, such as flow and speed, requiring much less computational time, compared to microscopic ones. This work assesses a second-order macroscopic gas-kinetic traffic flow (GKT) model and its numerical implementation using real traffic data from a motorway network in the U.K., where recurrent congestion originated from high on-ramp flows during the morning peak hours is observed. A parallel, metamodel-assisted Differential Evolution (DE) algorithm is employed for the calibration of the model parameters, and numerical simulations demonstrate that the DE algorithm can be a very promising method for the calibration of such traffic flow models. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| Date of Item | 2017-11-13 | - |
| Date of Publication | 2016 | - |
| Subject | Road traffic | en |
| Subject | Evolutionary computation | en |
| Subject | Numerical analysis | en |
| Bibliographic Citation | K. N. Porfyri, I. K. Nikolos, A. I. Delis and M. Papageorgiou, "Calibration of a second-order traffic flow model using a metamodel-assisted Differential Evolution algorithm," in 2016 IEEE 19th International Conference on Intelligent Transportation Systems, November, pp. 366-371. doi: 10.1109/ITSC.2016.7795581 | en |
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