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A multi-scenario evaluation of adaptive Fuzzy Logic Algorithms for intelligent traffic signal management in Urban intersections.

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Bibliographic Details
Title: A multi-scenario evaluation of adaptive Fuzzy Logic Algorithms for intelligent traffic signal management in Urban intersections.
Authors: Shaheen S; IT4Innovations, VSB-Technical University of Ostrava, Ostrava, Czech Republic.; Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Ostrava, Czech Republic., Qadri SSSM; Department of Industrial Engineering, Çankaya University, Ankara, Turkey., Riaz MB; IT4Innovations, VSB-Technical University of Ostrava, Ostrava, Czech Republic. muhammad.bilal.riaz@vsb.cz.; Applied Science Research Center, Applied Science Private University, Amman, Jordan. muhammad.bilal.riaz@vsb.cz., Martinovic J; IT4Innovations, VSB-Technical University of Ostrava, Ostrava, Czech Republic., Dvorský J; Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Ostrava, Czech Republic., Slaninová K; IT4Innovations, VSB-Technical University of Ostrava, Ostrava, Czech Republic.
Source: Scientific reports [Sci Rep] 2026 Apr 01; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 01.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-44017-2