Detection of non-recurrent road traffic events based on clustering indicators - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

Detection of non-recurrent road traffic events based on clustering indicators

Résumé

Based on a clustering indicator, an alteration of the classical road traffic indicators is proposed for incident detection. The resulting filter method reduces the inaccuracies of comparable detection method and enables to better separate usual traffic patterns from non-recurrent situations. Three alternative detection approaches are considered as baseline comparison for performance estimation.
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Dates et versions

hal-01802649 , version 1 (10-10-2022)

Identifiants

  • HAL Id : hal-01802649 , version 1

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Pierre-Antoine Laharotte, Romain Billot, Nour Eddin El Faouzi. Detection of non-recurrent road traffic events based on clustering indicators. ESANN'17 : European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. ⟨hal-01802649⟩
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