Frédéric Armetta
University of Lyon
45 Papers
85 Citations
Frédéric Armetta is an academic researcher from University of Lyon. The author has contributed to research in topics: Computer science & Multi-agent system. The author has an hindex of 9, co-authored 43 publications. Previous affiliations of Frédéric Armetta include Claude Bernard University Lyon 1 & Lyon College.
Chat about Author
Papers
How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies
Maxime Gueriau,Romain Billot,Nour-Eddin El Faouzi,Julien Monteil,Frédéric Armetta,Salima Hassas +5 more
TL;DR: Some potentialities of C-ITS for traffic management with the methodological issues following the expansion of such systems are discussed and Cooperative traffic models are introduced into an open-source traffic simulator.
Cooperative highway traffic
Julien Monteil,Romain Billot,Jacques Sau,Frédéric Armetta,Salima Hassas,Nour-Eddin El Faouzi,Nour-Eddin El Faouzi +6 more
TL;DR: In this study, a three-layer multiagent framework was used to model and control the homogenization of traffic flow and results highlight the positive impacts of communication and control on the stability of Traffic flow.
38
•Journal Article
Cooperative Highway Traffic: Multiagent Modeling and Robustness Assessment to Local Perturbations
TL;DR: In this article, a three-layer multi-agent framework is used to model and control the homogenization of traffic flow based on stability criteria, which is derived from the communication and trust layers that respectively manage information and its reliability.
25
Cooperative highway traffic: multi-agent modeling and robustness assessment to local perturbations
Julien Monteil,Romain Billot,Jacques Sau,Frédéric Armetta,Salima Hassas,Nour-Eddin El Faouzi +5 more
- 13 Jan 2013
TL;DR: In this article, a three-layer multi-agent framework is used to model and control the homogenization of traffic flow based on stability criteria, which is derived from the communication and trust layers that respectively manage information and its reliability.
22
A Constructivist Approach for a Self-Adaptive Decision-Making System: Application to Road Traffic Control
Maxime Gueriau,Frédéric Armetta,Salima Hassas,Romain Billot,Nour-Eddin El Faouzi +4 more
- 01 Nov 2016
TL;DR: This work proposes an approach able to combine a set of existing traditional unsupervised learning methods that collaborate as a population of agents in order to build an efficient representation of the traffic state.
16