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2022 | OriginalPaper | Chapter

Intersection Management Approach based on Multi-agent System

Authors : Meryem Mesbah, Ali Yahyaouy, My Abdelouahed Sabri

Published in: WITS 2020

Publisher: Springer Singapore

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Abstract

For several decades, urban congestion causes various problems such us pollution, road wares, and congestion in intersections which deteriorates the quality of life of citizens who live in big cities. Different methods proposed to reduce urban congestion, notably traffic regulation that attend tremendous attention recently. In past years, the usage of tools from artificial intelligence, particularly distributed methods and multi-agent systems, which allow to design new methods for traffic regulation. In this context, a Multi-Agent approach for intersection management system based on the principle of trajectory reservation has been proposed to reduce the travel time average and air pollution.

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previous chapter Artificial Intelligence Based on the Neurons Networks at the Service Predictive Bearing
next chapter A Model of an Integrated Educational Management Information System to Support Educational Planning and Decision Making: A Moroccan Case
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Metadata
Title
Intersection Management Approach based on Multi-agent System
Authors
Meryem Mesbah
Ali Yahyaouy
My Abdelouahed Sabri
Copyright Year
2022
Publisher
Springer Singapore
Book
WITS 2020

Print ISBN: 978-981-336-892-7

Electronic ISBN: 978-981-336-893-4

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-33-6893-4_15