Authors:
Nabil Morri
1
;
Sameh Hadouaj
2
and
Lamjed Ben Said
3
Affiliations:
1
Emirates College of Technology, Tunis University and ISG Tunis, United Arab Emirates
;
2
Tunis University, Tunis University and ISG Tunis, Tunisia
;
3
Tunis University and ISG Tunis, Tunisia
Keyword(s):
Multi Agent System, Decision Making, Regulation Support System, Public Transport.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Intelligent Agents
;
Intelligent Transportation System
;
Internet Technology
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Strategic Decision Support Systems
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
The increasing cost of private transport and the rising pollution of the environment pose serious problems in society, economy and environment. The public transport has become a major challenge of collective and daily life. However, to encourage people to use a public transport system, the offered service have to be with good quality. This paper gives effective solutions to improve the quality of public transport service provided to users. In this paper, we present a Regulation Support System of Public Transport (RSSPT), based on Multi-agents approach that allows supervising and regulating a multimodal public transport. Its purpose is to adjust the vehicle schedules where several disturbances come simultaneously. The adjustment is based on actual traffic conditions. It covers the major criteria that have to be optimized in a traffic regulation: punctuality, regularity and correspondence.