Highway traffic state estimation using speed measurements: Case studies on NGSIM data and motorway A20 in the NetherlandsHighway traffic state estimation using speed measurements: Case studies on NGSIM data and motorway A20 in the Netherlands Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2016-04-212016enThis paper presents two case studies where a macroscopic model-based approach for traffic state estimation, which we have recently developed, is employed and tested. The estimation methodology is developed for a “mixed” traffic scenario, where traffic is composed of both ordinary and connected vehicles. Only average speed measurements, which may be obtained from connected vehicles reports, and a minimum number (sufficient to guarantee observability) of spot sensor-based total flow measurements are utilised. In the first case study, we use NGSIM microscopic data in order to test the capability of estimating the traffic state on the basis of aggregated information retrieved from moving vehicles and considering various penetration rates of connected vehicles. In the second case study, a longer highway stretch with internal congestion is utilised, in order to test the capability of the proposed estimation scheme to produce appropriate estimates for varying traffic conditions on long stretches. In both cases the performances are satisfactory, and the obtained results demonstrate the effectiveness of the methodology, both in qualitative and quantitative terms.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/4.0/16-207195th Annual Meeting of the Transportation Research BoardProceedings of the 95th Annual Meeting of the Transportation Research BoardRoncoli_et_al_TRB2016_manuscript.pdfChania [Greece]Library of TUC2016-04-21application/pdf932.7 kBfree Roncoli Claudio Roncoli Claudio Bekiaris-Liberis Nikolaos Papageorgiou Markos Παπαγεωργιου Μαρκος Transportation Research Board traffic state estimation connected vehicles Kalman filter real-data testing