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Showing 1 to 4 of 4 for “"Traffic state estimation"”.
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Traffic State Estimation with Multi-Agent Simulations
Die vorliegende Dissertation beschreibt ein neuartiges Verfahren zur gänzlich disaggregierten Nachführung des Mobilitätsverhaltens von Autofahrern auf Grundlage aggregierter Messungen von Verkehrsflüssen, -dichten oder -geschwindigkeiten, welche durch eine begrenzte Anzahl von Sensoren im Netzwerk …
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MOVE: Mobile Observers Variants and Extensions
<p>Traffic state estimation is a fundamental task of Intelligent Transportation Systems. Recent advances in sensor technology and emerging computer and vehicular communications paradigms have brought the task of estimating traffic state parameters in real-time within reach.</p> <p>This has led to …
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A distributed local Kalman consensus filter for traffic estimation: design, analysis and validation
… filter (DLKCF) for large-scale multi-agent traffic density estimation. The switching mode model (SMM) describes the traffic dynamics on a stretch of roadway, and the model dynamics are linear within each mode. The error dynamics of the proposed DLKCF is shown to be globally asymptotically …
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Hybrid state estimation applications for joint traffic monitoring and incident detection
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-03-02 without embargo terms