Microscopic simulation-based validation of a per lane traffic state estimation scheme on highways with connected vehicles Microscopic simulation-based validation of a per lane traffic state estimation scheme on highways with connected vehicles
Μεταπτυχιακή Διατριβή
Master Thesis
2017-03-292017enThis 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. This investigation employs a calibrated and validated, with real data, microscopic multi-lane model and it concerns a stretch of the motorway A20 from Rotterdam to Gouda in the Netherlands. The estimation methodology is based on the assumption that a certain percentage of vehicles are equipped with Vehicle Automation and Communication Systems (VACS), which provide the necessary measurements employed by the estimator, namely, speed and position measurements. A minimum number of total flow measurements from spot sensors, which guarantee observability of the system, are also needed. The proposed methodology can provide satisfactory estimation performance, even for low penetration rates of connected vehicles, while it is shown that is little sensitive to the model parameters (two in total).http://creativecommons.org/licenses/by/4.0/Πολυτεχνείο Κρήτης::Σχολή Μηχανικών Παραγωγής και ΔιοίκησηςPapadopoulou_Sofia_MSc_2017.pdfChania [Greece]Library of TUC2017-03-29application/pdf2.7 MBfree
Papadopoulou Sofia
Παπαδοπουλου Σοφια
Papageorgiou Markos
Παπαγεωργιου Μαρκος
Papamichail Ioannis
Παπαμιχαηλ Ιωαννης
Nikolos Ioannis
Νικολος Ιωαννης
Πολυτεχνείο Κρήτης
Technical University of Crete
Microscopic simulation testing
Kalman filter
Connected vehicles
Traffic state estimation