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Article Dans Une Revue IEEE Transactions on Control Systems Technology Année : 2024

Smart traffic manager for speed harmonisation and stop-and-go waves mitigation dedicated to connected autonomous vehicles

Léa Prade Njoua Dongmo
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Jean Auriol
Alessio Iovine

Résumé

The present paper introduces a smart traffic manager, conceived as an algorithm tasked with supervising vehicles. It gathers and disseminates macroscopic traffic flow data among Connected Autonomous Vehicles (CAVs) to facilitate their attainment of string stability. This method combines machine learning techniques and physics-based traffic flow models, establishing a crucial connection between microscopic and macroscopic modeling levels. It enables CAVs to utilize mesoscopic controllers that effectively mitigate stop-and-go waves while ensuring speed harmonization, thereby proving their disturbance string stability. Simulation results demonstrate the efficacy of this proposed solution.
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Dates et versions

hal-04680301 , version 1 (28-08-2024)

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  • HAL Id : hal-04680301 , version 1

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Léa Prade Njoua Dongmo, Jean Auriol, Alessio Iovine. Smart traffic manager for speed harmonisation and stop-and-go waves mitigation dedicated to connected autonomous vehicles. IEEE Transactions on Control Systems Technology, inPress. ⟨hal-04680301⟩
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