Capacity drop in first-order traffic flow models: Overview and real-data validation.Capacity drop in first-order traffic flow models: Overview and real-data validation. Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2016-04-212016enFirst-order traffic flow models are known for their simplicity and computational efficiency and have, for this reason, been widely used for various traffic engineering tasks. However, first-order models are not able to reproduce significant traffic phenomena of great interest such as the capacity-drop and stop-and-go waves. This paper presents an overview of the, so far, proposed modelling approaches which aim to introduce the capacity-drop phenomenon into first-order traffic flow models. The background and main characteristics of each approach are analyzed with a particular emphasis on the practical applicability of such models for traffic management and control. The presented modelling approaches are calibrated and tested using real data from a motorway network in U.K.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.http://creativecommons.org/licenses/by-nc-nd/4.0/16-354195th Annual Meeting of the Transportation Research BoardProceedings of the 95th Annual Meeting of the Transportation Research BoardKontorinaki_et_al_TRB2016_manuscript.pdfChania [Greece]Library of TUC2016-04-21application/pdf1.1 MBfree Kontorinaki Maria Κοντορινακη Μαρια Spiliopoulou Anastasia Σπηλιοπουλου Αναστασια Roncoli Claudio Roncoli Claudio Papageorgiou Markos Παπαγεωργιου Μαρκος Transportation Research Board Capacity-drop phenomenon First-order traffic flow models model calibration