The article examines the application potential of artificial intelligence technologies in railway transport infrastructure. The focus is on improving diagnostic and maintenance efficiency, modeling freight flows, utilizing Digital Twins, and optimizing hig h-speed train management. The analysis of scientific sources indicates that AI technologies play a crucial role in enhancing safety, reducing operational costs, and effectively organizing logistics processes. The proposed approaches can contribute to the s ustainable development of the transport system.
| Mualliflar | Qilichev Umid Ibodullayevich |
|---|---|
| Jurnal | Marketing |
| Nashr sanasi | 2025-09-30 |
| Son | 9 |
| Til | O‘zbek |
| DOI | 10.67668/mj/2025iss9/665 |
DOI: 10.67668/mj/2025iss9/665 · Maqolaning asl sahifasi
railway transport, artificial intelligence (AI), diagnostics, modeling, Digital Twin, logistics, efficiency, safety. 204, железнодорожный транспорт, искусственный интеллект (ИИ), диагностика, моделирование, цифровой двойник, логистика, эффективность, безопасность, temir yoʻl transporti, sunʼiy intellekt (SI), diagnostika, modellashtirish, Digital Twin, logistika, samaradorlik, xavfsizlik
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