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Semantic Traffic Data Analysis for a Local Leader Election Algorithm (LLEA)
2020
European Conference on Artificial Intelligence
MASCAT is a research-based road traffic simulator. In this paper, we propose a plugin for MASCAT. The aim of this proposition is to provide a semantic data analysis for the simulators Multi-Agent System (MAS). The plugin introduce an interpretation phase during vehicle to vehicle communication (V2V). It will allow connected vehicles to make the most efficient behavioral decisions based on the state of surrounding environment. We designed a semantic web ontology to describe traffic data and
dblp:conf/ecai/ElchaamaCDO20
fatcat:26zgr4v7r5dhroenai753xp4pe