Work

Smart Mobility Using Multi-Agent System

Year: 2019

Type: conference-paper

Abstract: In this paper, we propose a self-adaptive mechanism for traffic regulation based on cooperative agents. We focus our study on the intersection behaviour, using intelligent agents to represent the infrastructure elements, which cooperate among each other in order to minimize traffic congestion. While the agents are capable of cooperating among themselves, the cooperative behaviour is not pre-defined, as it emerges from the agent interactions at a local level. We also explain our results from simulation experiments involving the proposed mechanism, comparing it with other traffic congestion regulation systems currently in use.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2019.04.061

Authors: Assia Belbachir, Amal El Fallah-Seghrouchni, Arthur Casals, Marcia Pasin

Institutions: Sorbonne Université, Institut Polytechnique des Sciences Avancées, Universidade de São Paulo, Universidade Federal de Santa Maria

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W2945256310

FWCI: 5.346

Cites: 30

Cited by: 25

Related to: 10