This article addresses the problem of improving an adaptive traffic signal control algorithm at urban intersections by taking into account the dynamic characteristics of traffic flow. Fixed-time control under conditions of rapidly changing traffic demand may lead to excessive waiting times and increased queue lengths. To address this problem, an adaptive control approach based on reinforcement learning principles is proposed. The approach considers the current state of traffic flow, queue lengths, waiting times, and service balance among different traffic directions. The article describes the algorithm's state vector, control actions, reward function, and safety constraints. To evaluate the proposed approach, an experimental methodology is developed using the SUMO microscopic traffic simulator and the TraCI interface.
| Mualliflar | ugli, Boltaboyev Javohir Yusufjon |
|---|---|
| Jurnal | Innovative Multidisciplinary Journal of Applied Technology |
| Nashriyot | ТДТУ Қўқон филиали |
| ISSN | 2995-486X, 2995-486x |
| Nashr sanasi | 2026-10-20 |
| Jild | 4 |
| Son | 10 |
| Betlar | 143-147 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| DOI | 10.51699/tgwwym16 |
| Indeksga qo‘shilgan | 2026-10-22 |
DOI: 10.51699/tgwwym16 · Maqolaning asl sahifasi
drone, cybersecurity, cyberattack, information security, DoS attack, Man-In-The-Middle, GPS spoofing, jamming, wormhole, drone communication, data protection, innovative security solutions
| APA | ugli, Boltaboyev Javohir Yusufjon (2026). IMPROVING ADAPTIVE TRAFFIC SIGNAL CONTROL AT URBAN INTERSECTIONS BASED ON ARTIFICIAL INTELLIGENCE. Innovative Multidisciplinary Journal of Applied Technology, 4(10), 143-147. https://doi.org/10.51699/tgwwym16 |
|---|---|
| GOST (OAK) | ugli, Boltaboyev Javohir Yusufjon IMPROVING ADAPTIVE TRAFFIC SIGNAL CONTROL AT URBAN INTERSECTIONS BASED ON ARTIFICIAL INTELLIGENCE // Innovative Multidisciplinary Journal of Applied Technology. – 2026. – T. 4, № 10. – P. 143-147. – DOI: 10.51699/tgwwym16. |
| MLA | ugli, Boltaboyev Javohir Yusufjon. “IMPROVING ADAPTIVE TRAFFIC SIGNAL CONTROL AT URBAN INTERSECTIONS BASED ON ARTIFICIAL INTELLIGENCE.” Innovative Multidisciplinary Journal of Applied Technology, 4(10), 143-147, 2026. https://doi.org/10.51699/tgwwym16 |
| Chicago | ugli, Boltaboyev Javohir Yusufjon. “IMPROVING ADAPTIVE TRAFFIC SIGNAL CONTROL AT URBAN INTERSECTIONS BASED ON ARTIFICIAL INTELLIGENCE.” Innovative Multidisciplinary Journal of Applied Technology, 4(10), 143-147 (2026). https://doi.org/10.51699/tgwwym16 |
| Harvard | ugli, Boltaboyev Javohir Yusufjon (2026) ‘IMPROVING ADAPTIVE TRAFFIC SIGNAL CONTROL AT URBAN INTERSECTIONS BASED ON ARTIFICIAL INTELLIGENCE’, Innovative Multidisciplinary Journal of Applied Technology, 4(10), 143-147. https://doi.org/10.51699/tgwwym16 |
| BibTeX | @article{ugliboltaboyevjavohiryusufjon2026,
title = {IMPROVING ADAPTIVE TRAFFIC SIGNAL CONTROL AT URBAN INTERSECTIONS BASED ON ARTIFICIAL INTELLIGENCE},
author = {ugli, Boltaboyev Javohir Yusufjon},
journal = {Innovative Multidisciplinary Journal of Applied Technology},
year = {2026},
volume = {4},
number = {10},
pages = {143-147},
doi = {10.51699/tgwwym16},
url = {https://doi.org/10.51699/tgwwym16}
} |
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