International Journal on Science and Technology
E-ISSN: 2229-7677
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Volume 17 Issue 2
April-June 2026
Indexing Partners
Short-Term Arrival Delay Time Prediction In Freight Rail Operations Using Data-Driven Models
| Author(s) | Mohammad shareef, R.Likitha, P.Akhil Swaraj, G.Ashritha |
|---|---|
| Country | India |
| Abstract | Efficient management of freight rail operations is crucial for minimizing delays, optimizing schedules, and improving overall logistics performance. Short-term prediction of arrival delays can significantly enhance operational efficiency and customer satisfaction. Traditional methods for delay prediction often rely on historical data and manual analysis, which may not capture real-time operational dynamics or account for unforeseen disruptions. |
| Keywords | short term arrival delay, freight rail operations |
| Field | Engineering |
| Published In | Volume 16, Issue 2, April-June 2025 |
| Published On | 2025-05-21 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i2.5391 |
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