Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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| URI: | http://purl.tuc.gr/dl/dias/49184252-4949-48A8-BA44-472A1C49E1C9 | ||
| Year | 2017 | ||
| Type of Item | Master Thesis | ||
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| Bibliographic Citation | Sofia Papadopoulou, " Microscopic simulation-based validation of a per lane traffic state estimation scheme on highways with connected vehicles", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2017 https://doi.org/10.26233/heallink.tuc.67665 | ||
| Appears in Collections |
This 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).
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