A New Robust Approach for Highway Traffic Density Estimation

Abstract : In this paper we present a robust mode selector for the uncertain graph-constrained Switching Mode Model (SMM), which we use to describe the highway traffic density evolution. Assuming an uncertain speed of the congestion wave, the proposed selector relies on a transition digraph suitably incorporating the present and historical statistical traffic information, to determine the most probable current mode of the SMM. Its effectiveness is demonstrated on the problem of traffic density reconstruction via a switching observer, in an instrumented 2.2 km highway section of Grenoble south ring in France.
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Communication dans un congrès
13th European Control Conference (ECC 2014), Jun 2014, Strasbourg, France. Proceedings of 13th European Control Conference, pp.2576-2580, 2014
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Fabio Morbidi, Luis Leon Ojeda, Carlos Canudas de Wit, Iker Bellicot. A New Robust Approach for Highway Traffic Density Estimation. 13th European Control Conference (ECC 2014), Jun 2014, Strasbourg, France. Proceedings of 13th European Control Conference, pp.2576-2580, 2014. 〈hal-00979684〉

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