Validation of a per-lane traffic state estimation scheme for highways with connected vehiclesValidation of a per-lane traffic state estimation scheme for highways with connected vehicles Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2018-04-162017enThis study presents a thorough microscopic simulation investigation of a recently developed model-based approach for per-lane density estimation, as well as on-ramp and off-ramp flow estimation, for highways in the presence of connected vehicles. The estimation methodology is mainly based on the assumption that a certain percentage of vehicles is equipped with Vehicle Automation and Communication Systems (VACS), which provide the necessary measurements used by the estimator, namely vehicle speed and position measurements. In addition, a minimum number of conventional flow detectors is needed. In the investigation, a calibrated and validated, with real data, microscopic multi-lane model is employed, which concerns a stretch of motorway A20 from Rotterdam to Gouda in the Netherlands. It is demonstrated that the proposed methodology provides satisfactory estimation performance even for low penetration rates of connected vehicles.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/4.0/1053-1059IEEE 20th International Conference on Intelligent Transportation SystemsPapadopoulou_et_al_IEEE ITSC_2017.pdfChania [Greece]Library of TUC2018-04-16application/pdf1.4 MBfree Papadopoulou Sofia Παπαδοπουλου Σοφια Roncoli Claudio Roncoli Claudio Bekiaris-Liberis Nikolaos Μπεκιαρης-Λυμπερης Νικολαος Papamichail Ioannis Παπαμιχαηλ Ιωαννης Papageorgiou Markos Παπαγεωργιου Μαρκος Institute of Electrical and Electronics Engineers Road transportation Vehicle dynamics GPS Global Positioning System Microscopy State estimation Data models