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- W2790473371 abstract "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. 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." @default.
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- W2790473371 date "2017-10-01" @default.
- W2790473371 modified "2023-09-25" @default.
- W2790473371 title "Validation of a per-lane traffic state estimation scheme for highways with connected vehicles" @default.
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- W2790473371 doi "https://doi.org/10.1109/itsc.2017.8317704" @default.
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