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(<span class="authorship-author-name">Kóczy T. László</span> <span class="authorAux-mtmt"> Távközlő rendszerek</span>) </a> </span> <span class="author-affil"><span title="Széchenyi István University">Széchenyi István University</span>/<span title="Faculty of Informatics and Electrical Engineering">FIEE</span>/Department of Informatics</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35790911" target="_blank">Evaluating Deep Learning Algorithms for Freeway Mainstream Traffic Control</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" mtid="10001417"><a href="/gui2/?type=authors&mode=browse&sel=10001417" target="_blank">Zöldy Máté (<span class="authorship-author-name">Zöldy Máté</span> <span class="authorAux-mtmt"> Kognitív mobilitás, fenntarthatóság</span>) </a> </span> <span class="author-affil"><span title="Budapest University of Technology and Economics">BUTE</span>/<span title="Faculty of Transportation Engineering">FTE</span>/Gépjárműtechnológia Tanszék</span> (eds.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;35786637" target="_blank">Proceedings of the 3rd Cognitive Mobility Conference </a></div> <span class="publishedAt">Cham: <span class="publishers">Springer Nature Switzerland AG</span>, <span class="page"> pp 289-299 Paper Chapter 26. </span> <span class="year">(2025)</span> ( <span class="seriesTitle">Lecture Notes in Networks and Systems</span> <span class="issn">2367-3370</span> <span class="issn">2367-3389</span> <span class="seriesVolume">; 1258</span>) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-031-81799-1_26" target="_blank" href="https://doi.org/10.1007/978-3-031-81799-1_26"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="86000480861" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-86000480861"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://link.springer.com/10.1007/978-3-031-81799-1_26" target="_blank" href="https://link.springer.com/10.1007/978-3-031-81799-1_26"> Other URL </a> </span> </span> <span class="bookchapter-ids">Book link(s):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783031817984" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783031817984"> 9783031817984 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783031817991" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783031817991"> 9783031817991 </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://link.springer.com/10.1007/978-3-031-81799-1" target="_blank" href="https://link.springer.com/10.1007/978-3-031-81799-1"> Other URL </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35790911&sort=publishedYear,desc&sort=title"> Number of cited publications: 6 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 35790911</span> | <span class="status-data status-VALIDATED"> Validated </span> <span class="long-book-mtid">Book: 35786637</span> Core Citing | <span class="type-subtype">Chapter in Book ( Chapter ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2025.09.16. 10:48 Katalin Andódy (BME admin4) </div> </div> </div> JournalArticle 35759306 VALIDATED true 0 false 2025-07-30T15:11:55.795+0000 2025-04-14T09:37:11.688+0000 2025-02-13T14:16:24.417+0000 true 10028289 Harmati István Árpád /api/author/10028289 Author true 10028289 2025-03-15T02:25:23.348+0000 2025-03-15T02:25:23.572+0000 true 521 Szuper Admin /api/admin/521 Admin true false false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Karatzinis, Georgios D. A Review Study of Fuzzy Cognitive Maps in Engineering: Applications, Insights, and Future Directions true true /api/journal/20100398 REVIEWED true false false 20100398 true 2673-4117 Journal FOREIGN 6 2 37 37 2025 Fuzzy Cognitive Maps (FCMs) have emerged as powerful tools for addressing diverse engineering challenges, leveraging their cognitive nature and ability to encapsulate causal relationships. This paper provides a comprehensive review of FCM applications across 15 engineering sub-domains, categorizing 80 studies by their learning family, task type, and case-specific application. We analyze the methodological advancements and practical implementations of FCMs, showcasing their strengths in areas such as decision-making, classification, time-series, diagnosis, and optimization. Qualitative criteria are systematically applied to classify FCM-based methodologies, highlighting trends, practical implications of varying complexity, and human intervention across task types and learning families. However, this study also identifies key limitations, including scalability challenges, reliance on expert knowledge, and sensitivity to data distribution shifts in real-world settings. To address these issues, we outline key areas and directions for future research focusing on adaptive learning mechanisms, hybrid methodologies, and scalable computational frameworks to enhance FCM performance in dynamic and evolving contexts. 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Amini; Szechenyi Istvan University, Department of Information Technology, Gyor, Hungary; email: mehran@sze.hu; Conference name: 28th IEEE International Conference on Intelligent Engineering Systems, INES 2024; Conference date: 17 July 2024 through 19 July 2024; Conference code: 201884 0 false 2026-03-11T12:12:12.436+0000 2024-10-22T16:26:07.023+0000 2024-08-22T07:19:07.079+0000 true 10023121 Hatwágner F. 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(<span class="authorship-author-name">Kóczy T. László</span> <span class="authorAux-mtmt"> Távközlő rendszerek</span>) </a> </span> <span class="author-affil"><span title="Széchenyi István University">Széchenyi István University</span>/<span title="Faculty of Mechanical Engineering, Informatics and Electrical engineering">FEIE</span>/Department of Informatics</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35178001" target="_blank">Comparative Analysis of Machine Learning Algorithms in Traffic Mainstream Control on Freeway Networks</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">IEEE</span> (eds.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;35136321" target="_blank">2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES 2024) </a></div> <div class="conference"> Conference: <span class="location">Gammarth, Tunisia <span class="conference-date">2024.07.17. - 2024.07.19.</span> </div> <span class="publishedAt">Piscataway (NJ): <span class="publishers">IEEE</span>, <span class="page"> pp 37-41 </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/INES63318.2024.10629114" target="_blank" href="https://doi.org/10.1109/INES63318.2024.10629114"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001302783500007" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001302783500007"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85202600953" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85202600953"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://ieeexplore.ieee.org/document/10629114/" target="_blank" href="https://ieeexplore.ieee.org/document/10629114/"> Other URL </a> </span> </span> <span class="bookchapter-ids">Book link(s):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/INES63318.2024" target="_blank" href="https://doi.org/10.1109/INES63318.2024"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350367591" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350367591"> 9798350367591 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9789798350368" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9789798350368"> 9789798350368 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350367" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350367"> 9798350367 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35178001&sort=publishedYear,desc&sort=title"> Number of cited publications: 6 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 35178001</span> | <span class="status-data status-VALIDATED"> Validated </span> <span class="long-book-mtid">Book: 35136321</span> Core Citing | <span class="type-subtype">Chapter in Book ( Conference paper ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2024.10.22. 18:26 Viktor Zsömle (SZE 4 admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Export Date: 10 January 2025; Cited By: 0; Correspondence Address: M. Amini; Szechenyi Istvan University, Department of Information Technology, Gyor, Hungary; email: mehran@sze.hu; Conference name: 28th IEEE International Conference on Intelligent Engineering Systems, INES 2024; Conference date: 17 July 2024 through 19 July 2024; Conference code: 201884</pre> </div> </div> JournalArticle 35431730 APPROVED true 0 false 2024-10-02T13:12:36.941+0000 2024-10-02T13:06:52.281+0000 2024-10-02T13:06:42.702+0000 true 10023121 Hatwágner F. Miklós /api/author/10023121 Author true 10023121 2024-10-02T13:06:43.375+0000 2024-10-02T13:06:43.375+0000 false false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Hu, Xiaomin Reinforcement Learning-Based Adaptive Optimal Control Model for Signal Light in Intelligent Transportation Systems true true /api/journal/13150 REVIEWED true false 13150 false 13150 true 0218-1266 1793-6454 Journal FOREIGN 1 1 1 2024 Day-to-day mobility among the population has increased with economic growth. Smart cities are renovated with advanced technologies to admire modern life in which intelligent transportation becomes highly focused. Because the traffic signal control systems are fixed at a constant time. They split the traffic signal into predetermined intervals and function inefficiently; they result in long wait times, waste fuel and increased carbon emissions. This research study introduces a novel technique for traffic light management to reduce the uncertainties in the system. A dynamic and intelligent traffic light adaptive optimal management system (DITLAOCS) is implemented in this research. It does this by modifying the traffic signal duration in run time and using real-time traffic data as input. Furthermore, the proposed DITLAOCS executes based on three modes: fairness mode (FM), priority mode (PM) and emergent mode (EM). In fairness mode (FM), all vehicles are prioritized equally, while vehicles in different categories receive varying priority levels. Emergency vehicles, on the other hand, receive the highest priority. Furthermore, a fuzzy inference method based on traffic data is shown to choose one mode out of three (FM, PM and EM). This model uses deep reinforcement learning to switch traffic lights in three different phases (red, green and yellow). We evaluated and accurately simulated DITLAOCS on the Shaanxi city map in China using Simulation of Urban MObility (SUMO), an open-source simulator. The simulation results illustrate the efficiency of DITLAOCS when compared to other cutting-edge algorithms on several performance measures. true 2024 true true true false false false NONE 2024-10-02 false 0 0 0 0 0 0 0 0 0 0 0 0 1 1 Q3 false false false false 2024-12-31T14:06:43.256+0000 3 20 0 2 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 120741689 /api/authorship/120741689 1 0.5 true false false Hu Xiaomin true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 120741690 /api/authorship/120741690 2 0.5 false true false He Yuanyuan true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 27575574 /api/publicationidentifier/27575574 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1142/S021812662550046X https://doi.org/10.1142/S021812662550046X false true PublicationIdentifier 27575575 /api/publicationidentifier/27575575 PlainSource 40 /api/publicationsource/40 PublicationSourceType 10006 /api/publicationsourcetype/10006 true true true Egyéb URL Other URL @@@ true true 40 true https://www.worldscientific.com/doi/10.1142/S021812662550046X https://www.worldscientific.com/doi/10.1142/S021812662550046X false true SjrRating 11461241 /api/sjrrating/11461241 433 0.74 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 2208 /api/classificationexternal/2208 true 2208 true Q3 FROM_LAST_YEAR true true /api/publication/35431730 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Hu Xiaomin </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >He Yuanyuan </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35431730" target="_blank">Reinforcement Learning-Based Adaptive Optimal Control Model for Signal Light in Intelligent Transportation Systems</a></div> <div> <span class="journal-title">JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0218-1266">0218-1266</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1793-6454">1793-6454</a>)</span>: <span class="journal-volume">1</span> <span class="page"> p. 1. </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1142/S021812662550046X" target="_blank" href="https://doi.org/10.1142/S021812662550046X"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.worldscientific.com/doi/10.1142/S021812662550046X" target="_blank" href="https://www.worldscientific.com/doi/10.1142/S021812662550046X"> Other URL </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35431730&sort=publishedYear,desc&sort=title"> Number of cited publications: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 35431730</span> | <span class="status-data status-APPROVED"> Published </span> Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2024.10.02. 15:06 F. Miklós Hatwágner (Informatika, optimalizálás, evolúciós algoritmusok) </div> </div></div> BookChapter 35571749 APPROVED true 0 false 2024-11-14T13:49:55.348+0000 2024-11-14T13:48:55.188+0000 2024-11-14T13:48:48.251+0000 true 10023121 Hatwágner F. 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<span class="author-name" >Chai Shun Quan </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Ee Chuo Helen Sin </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Lim Kit Guan </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Goh Hui Hwang </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Teo Kenneth Tze Kin </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35571749" target="_blank">Adaptive Traffic Signal Control using Genetic Algorithm for a 2×2 Traffic Network</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;35571750" target="_blank">2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) </a></div> <div class="conference"> Conference: <span class="location">Kota Kinabalu, Malaysia <span class="conference-date">2024.08.26. - 2024.08.28.</span> </div> : <span class="publishers">IEEE</span>, <span class="page"> pp 488-493 </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1109/IICAIET62352.2024.10730292" target="_blank" href="https://doi.org/10.1109/IICAIET62352.2024.10730292"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://ieeexplore.ieee.org/document/10730292/" target="_blank" href="https://ieeexplore.ieee.org/document/10730292/"> Other URL </a> </span> </span> <span class="bookchapter-ids">Book link(s):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350389692" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350389692"> 9798350389692 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35571749&sort=publishedYear,desc&sort=title"> Number of cited publications: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 35571749</span> | <span class="status-data status-APPROVED"> Published </span> <span class="long-book-mtid">Book: 35571750</span> Citing | <span class="type-subtype">Chapter in Book ( Conference paper ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2024.11.14. 14:48 F. Miklós Hatwágner (Informatika, optimalizálás, evolúciós algoritmusok) </div> </div> </div>