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Kalman Filtering of Traffic Fluctuations for Real-Time Network Management

Abstract : Discrete-time stochastic models of sequential traffic records in telephone networks are derived from classical assumptions of queueing theory. They appear to be well suited for a use of Kalman filter. Thus, a version of the filtering algorithm is adopted to deal with the traffic fluctuations. The overall approach is tested against the real data gathered by the supervisor of the French toll network. Next, the adaptive traffic estimator is inserted into the simulator of a testbed network operated in the urban zone of Paris. The traffic estimations provided by the filter are used to decide the link overflow hierarchy.
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Contributor : Prosper Chemouil <>
Submitted on : Tuesday, February 16, 2021 - 10:30:32 AM
Last modification on : Thursday, February 25, 2021 - 1:31:52 PM


  • HAL Id : hal-03142569, version 1


Prosper Chemouil, Janusz Filipiak. Kalman Filtering of Traffic Fluctuations for Real-Time Network Management. Large Scale Systems Theory and Applications, IFAC, Aug 1986, Varsovie, Poland. pp.827-832. ⟨hal-03142569⟩



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