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Wang, C., Yang, X., Zhang, J., Ran, B.: Integrated traffic control for freeway recurrent bottleneck based on deep reinforcement learning. IEEE Trans. Intell. Transp. Syst. 23(9), 15522–15535 (2022). https://doi.org/10.1109/TITS.2022.3141730, DOI: 10.1109/TITS.2022.3141730 1 10.1109/TITS.2022.3141730 false true Reference 64205001 /api/reference/64205001 2. Amini, M., Hatwagner, M.F., Koczy, L.T.: Fuzzy system-based solutions for traffic control in freeway networks toward sustainable improvement. In: Ciucci, D., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022. Communications in Computer and Information Science, vol. 1602. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08974-9_23, DOI: 10.1007/978-3-031-08974-9_23 2 10.1007/978-3-031-08974-9_23 false true Reference 64205002 /api/reference/64205002 3. Amini, M., Hatwagner, M.F., Mikulai, G.C. Koczy, L.T.: An intelligent traffic congestion detection approach based on fuzzy inference system. In: 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI), Timisoara, Romania, pp. 97–104 (2021).https://doi.org/10.1109/SACI51354.2021.9465637, DOI: 10.1109/SACI51354.2021.9465637 3 10.1109/SACI51354.2021.9465637 false true Reference 64205003 /api/reference/64205003 4. Čičić, Mladen, Cecilia Pasquale, Silvia Siri, Simona Sacone, and Karl Henrik Johansson. “Platoon-actuated variable area mainstream traffic control for bottleneck decongestion.“ European Journal of Control 68 (2022): 100687, DOI: 10.1016/j.ejcon.2022.100687 4 10.1016/j.ejcon.2022.100687 false true Reference 64205004 /api/reference/64205004 5. Ferrara, A., Sacone, S., Siri, S.: Freeway Traffic Modelling and Control, vol. 585. Springer, Berlin (2018), DOI: 10.1007/978-3-319-75961-6 5 10.1007/978-3-319-75961-6 false true Reference 64205005 /api/reference/64205005 6. Amini, M., Hatwagner, M.F., Koczy, L.T.: Machine learning and fuzzy cognitive maps in a hybrid approach toward freeway on-ramp traffic control. In: 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI), Timisoara, Romania, pp. 000587–000592 (2023).https://doi.org/10.1109/SACI58269.2023.10158585, DOI: 10.1109/SACI58269.2023.10158585 6 10.1109/SACI58269.2023.10158585 false true Reference 64205006 /api/reference/64205006 7. Staudemeyer, R.C., Morris, E.R.: Understanding LSTM--a tutorial into long short-term memory recurrent neural networks. arXiv preprint arXiv:1909.09586 (2019) 7 false true Reference 64205007 /api/reference/64205007 8. Lea, C., Vidal, R., Reiter, A., Hager, G.D.:Temporal convolutional networks: a unified approach to action segmentation. In: Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8–10 and 15–16, 2016, Proceedings, Part III 14, pp. 47–54. Springer International Publishing (2016), DOI: 10.1007/978-3-319-49409-8_7 8 10.1007/978-3-319-49409-8_7 false true Reference 64205008 /api/reference/64205008 9. Amini, M., Hatwagner, M.F., Koczy, L.T.: A combined approach of fuzzy cognitive maps and fuzzy rule-based inference supporting freeway traffic control strategies. Mathematics 10, 4139 (2022). https://doi.org/10.3390/math10214139, DOI: 10.3390/math10214139 9 10.3390/math10214139 false true Reference 64205009 /api/reference/64205009 10. Amini, M., Hatwagner, M.F., Mikulai, G.C., Kóczy, L.T.: Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation. Infocommun. J. 13(3), 14–23 (2021), DOI: 10.36244/ICJ.2021.3.2 10 10.36244/ICJ.2021.3.2 false true Reference 64205010 /api/reference/64205010 11. Benabdallah Benarmas, R., Beghdad Bey, K.: A deep learning-based framework for road traffic prediction. J. Supercomput. 80, 6891–6916 (2024). https://doi.org/10.1007/s11227-023-05718-x, DOI: 10.1007/s11227-023-05718-x 11 10.1007/s11227-023-05718-x false true Reference 64205011 /api/reference/64205011 12. Abduljabbar, R.L., Dia, H., Tsai, P.-W., Liyanage, S.: Short-term traffic forecasting: an LSTM network for spatial-temporal speed prediction. Future Transportation 1(1), 21–37 (2021), DOI: 10.3390/futuretransp1010003 12 10.3390/futuretransp1010003 false true Reference 64205012 /api/reference/64205012 13. Amini, M., Koczy, L.T.: Comparative analysis of machine learning algorithms in traffic mainstream control on freeway networks. In: 2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES), Gammarth, Tunisia, pp. 000037–000042 (2024). https://doi.org/10.1109/INES63318.2024.10629114, DOI: 10.1109/INES63318.2024.10629114 13 10.1109/INES63318.2024.10629114 false true Reference 64205013 /api/reference/64205013 14. Geistefeldt, J., Shojaat, S.: Comparison of stochastic estimates of capacity and critical density for U.S. and German freeways. Transp. Res. Rec. 2673(8), 388–396 (2019). https://doi.org/10.1177/0361198119843471, DOI: 10.1177/0361198119843471 14 10.1177/0361198119843471 false true Reference 64205014 /api/reference/64205014 15. Zöldy, M., Baranyi, P.: The cognitive mobility concept. Infocommun. J. Publ. Sci. Assoc. Infocommun. (HTE), (Sp), 35–40 (2023), DOI: 10.36244/ICJ.2023.SI-IODCR.6 15 10.36244/ICJ.2023.SI-IODCR.6 false true Reference 64205015 /api/reference/64205015 16. Zhao, W., Gao, Y., Ji, T., Wan, X., Ye, F., Bai, G.: Deep temporal convolutional networks for short-term traffic flow forecasting. IEEE Access 7, 114496–114507 (2019), DOI: 10.1109/ACCESS.2019.2935504 16 10.1109/ACCESS.2019.2935504 false true Reference 64205016 /api/reference/64205016 17. Lea, C., Flynn, M.D., Vidal, R., Reiter, A., Hager, G.D.: Temporal convolutional networks for action segmentation and detection. In: Proceedings of IEEE Conference on Computer Vision Pattern Recognition, pp. 156–165 (2017), DOI: 10.1109/CVPR.2017.113 17 10.1109/CVPR.2017.113 false true /api/publication/35790911 Amini Mehran et al. Evaluating Deep Learning Algorithms for Freeway Mainstream Traffic Control. (2025) In: Proceedings of the 3rd Cognitive Mobility Conference pp. 289-299<div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10073601"><a href="/gui2/?type=authors&mode=browse&sel=10073601" target="_blank">Amini Mehran (<span class="authorship-author-name">Amini Mehran</span> <span class="authorAux-mtmt"> Computer Science</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> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10070569"><a href="/gui2/?type=authors&mode=browse&sel=10070569" target="_blank">Karadeniz Ahmet Mehmet (<span class="authorship-author-name">Karadeniz Ahmet Mehmet</span> <span class="authorAux-mtmt"> </span>) </a> </span> <span class="author-affil"><span title="Széchenyi István University">Széchenyi István University</span>/Doctoral School of Multidisciplinary Engineering Sciences</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10000464"><a href="/gui2/?type=authors&mode=browse&sel=10000464" target="_blank">Kóczy László T. (<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>