Miletić, Mladen and Koltovska Nechoska, Daniela and Gregurić, Martin and Vrbanić, Filip and Čakija, Dino and Ivanjko, Edourad (2025) Towards sustainable traffic control: evaluation of learning traffic controllers. Automatika Journal for Control, Measurement, Electronics, Computing and Communications, 66 (4). pp. 1027-1040. ISSN 0005-1144
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Abstract
Traffic control is a crucial component of urban transportation systems. In recent years, machine learning-based traffic controllers have been widely used in urban traffic control. This paper presents a comprehensive evaluation of the performance of traffic control systems on urban motorways and signalized intersection networks. By integrating sustainability criteria into the evaluation, this research contributes to the development of efficient and sustainable urban traffic control solutions. The proposed methodological evaluation framework is comprehensive and can be used as a roadmap for the implementation and testing of various ITS-based urban road transport solutions. In addition, future research directions are outlined that guide the evolution of sustainable and efficient traffic management solutions based on machine learning.
Keywords:Keywords:
Machine learning, adaptive traffic control, evaluation criteria urban motorways, signalized intersection networks
| Item Type: | Article |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies |
| Divisions: | Faculty of Technical Sciences |
| Depositing User: | Prof. d-r. Daniela Koltovska Nechoska |
| Date Deposited: | 13 Mar 2026 17:42 |
| Last Modified: | 13 Mar 2026 17:42 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11371 |
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