{"title":"Optimizing Railway Signaling and Platform Management with LoRaWAN, RFID and Automation Technologies","authors":"Samarth Sarvade , Vijaykumar Shirwal , Parth Kugaonkar , Kartik Mudgonda","doi":"10.1016/j.procs.2025.01.015","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of advanced communication and automation technologies provides a transformative approach to enhancing railway signaling and platform management. This system utilizes real-time data exchange to optimize train positioning, platform allocation, and overall network operations. Leveraging long-range, low-power communication protocols such as LoRaWAN, the solution enables seamless and reliable coordination between trains and stations, reducing delays, enhancing safety, and improving the precision of platform management. Additionally, RFID technology is employed to enhance accuracy in monitoring train movements and platform occupancy, ensuring smoother and more efficient operations. The system architecture facilitates more effective resource management by automating key processes such as train scheduling and platform allocation, ultimately minimizing energy consumption and lowering operational costs. With improved communication accuracy, faster response times, and robust system reliability, the proposed solution addresses critical challenges faced by modern railway systems. This approach is designed to be scalable and adaptable to the evolving demands of large railway networks, including Indian Railways, providing a future-proof strategy for optimizing performance and sustainability. By modernizing traditional operations and improving efficiency, the system offers a comprehensive upgrade for both freight and passenger rail services, ensuring long-term operational resilience.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"252 ","pages":"Pages 557-566"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877050925000158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The integration of advanced communication and automation technologies provides a transformative approach to enhancing railway signaling and platform management. This system utilizes real-time data exchange to optimize train positioning, platform allocation, and overall network operations. Leveraging long-range, low-power communication protocols such as LoRaWAN, the solution enables seamless and reliable coordination between trains and stations, reducing delays, enhancing safety, and improving the precision of platform management. Additionally, RFID technology is employed to enhance accuracy in monitoring train movements and platform occupancy, ensuring smoother and more efficient operations. The system architecture facilitates more effective resource management by automating key processes such as train scheduling and platform allocation, ultimately minimizing energy consumption and lowering operational costs. With improved communication accuracy, faster response times, and robust system reliability, the proposed solution addresses critical challenges faced by modern railway systems. This approach is designed to be scalable and adaptable to the evolving demands of large railway networks, including Indian Railways, providing a future-proof strategy for optimizing performance and sustainability. By modernizing traditional operations and improving efficiency, the system offers a comprehensive upgrade for both freight and passenger rail services, ensuring long-term operational resilience.