Estimation of traffic density on motorways
Résumé
A scalar Kalman filter is applied to traffic density estimation in a 500-metre section of the Boulevard Peripherique in Paris using presence detector data. After derivation of the model and filter equations, estimates are compared to real traffic density measuremenns extracted from a film. Results indicate accuracy of estimates; excellent tracking capabilities; and low sensitivity with respect to changing application conditions.
Domaines
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