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- W4300786098 abstract "Nowadays, traffic management has become a challenge for urban areas, which are covering larger geographic spaces and facing the generation of different kinds of traffic data. This article presents a robust traffic estimation framework for highways modeled by a system of Lighthill Whitham Richards equations that is able to assimilate different sensor data available. We first present an equivalent formulation of the problem using a Hamilton-Jacobi equation. Then, using a semi-analytic formula, we show that the model constraints resulting from the Hamilton-Jacobi equation are linear ones. We then pose the problem of estimating the traffic density given incomplete and inaccurate traffic data as a Mixed Integer Program. We then extend the density estimation framework to highway networks with any available data constraint and modeling junctions. Finally, we present a travel estimation application for a small network using real traffic measurements obtained obtained during Mobile Century traffic experiment, and comparing the results with ground truth data." @default.
- W4300786098 created "2022-10-04" @default.
- W4300786098 creator A5002408129 @default.
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- W4300786098 date "2016-06-10" @default.
- W4300786098 modified "2023-09-27" @default.
- W4300786098 title "Networked Traffic State Estimation Involving Mixed Fixed-mobile Sensor Data Using Hamilton-Jacobi equations" @default.
- W4300786098 doi "https://doi.org/10.48550/arxiv.1606.03332" @default.
- W4300786098 hasPublicationYear "2016" @default.
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