A Model for an Integrated Intelligent Decision Support System for Environmental Urban Traffic Management

Dimovski, Tome and Koltovska Nechoska, Daniela and Kotevski, Zoran and Markoski, Aleksandar and Hristoski, Ilija (2018) A Model for an Integrated Intelligent Decision Support System for Environmental Urban Traffic Management. Web Proceedings of the 10th ICT Innovations Conference. pp. 75-83. ISSN 1857-7288

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Intelligent Transport Systems (ITSs) and traffic management are two of the many approaches that can improve traffic efficiency, reduce traffic congestion and pollution, and enhance safety. Through managing traffic flows in urban transport networks, ITSs can provide a response to the today's major challenges regarding the minimization of traffic congestion and its negative effects on the environment. In this research, a model of an Integrated Intelligent Decision Support System (IIDSS) for environmental traffic management in urban areas is presented. The proposed model consists of three operational layers: wireless sensor network layer, intelligent agent layer, and routing coordinator, while using information about traffic congestion and pollution in the decision-making process. The main objective of the proposed model is to provide a solid basis for future development of IIDSS and its implementation in urban networks that correspond to city areas that exhibit significant congestion and pollution problems. The system will enable travelers to move around the central city areas avoiding congested and polluted roads.

Item Type: Article
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Natural sciences > Other natural sciences
Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies
Divisions: Faculty of Economics
Faculty of Information and Communication Technologies
Depositing User: Prof. Dr. Ilija Hristoski
Date Deposited: 26 Dec 2022 08:46
Last Modified: 26 Dec 2022 08:46
URI: https://eprints.uklo.edu.mk/id/eprint/7509

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