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RFID-based Traceable Baggage Handling System in Airports
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International Journal of Economics & Management Sciences

ISSN: 2162-6359

Open Access

Commentary - (2024) Volume 13, Issue 3

RFID-based Traceable Baggage Handling System in Airports

Matheus Emrul*
*Correspondence: Matheus Emrul, Department of Management Sciences, Joseph Sarwuan Tarka University, Makurdi, Nigeria, Email:
Department of Management Sciences, Joseph Sarwuan Tarka University, Makurdi, Nigeria

Received: 01-May-2024, Manuscript No. ijems-24-137168; Editor assigned: 03-May-2024, Pre QC No. P-137168; Reviewed: 17-May-2024, QC No. Q-137168; Revised: 22-May-2024, Manuscript No. R-137168; Published: 31-May-2024 , DOI: 10.37421/2162-6359.2024.13.737
Citation: Emrul, Matheus. “RFID-based Traceable Baggage Handling System in Airports.” Int J Econ Manag Sci 13 (2024): 737.
Copyright: © 2024 Emrul M. This is an open-access article distributed under the terms of the creative commons attribution license which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Description

RFID technology utilizes electromagnetic fields to automatically identify and track objects equipped with RFID tags. In the context of baggage handling, RFID tags are attached to luggage, allowing for seamless tracking throughout the airport journey. Unlike barcode systems, RFID tags do not require direct line-of-sight scanning, enabling faster and more accurate data capture. RFID tags are attached to each piece of luggage and contain unique identifiers that can be read by RFID readers. These tags may be passive or active offering varying ranges and functionalities. RFID readers are strategically placed at key points in the airport, such as check-in counters, baggage sorting areas, loading gates, and baggage claim areas. They communicate with RFID tags, capturing data such as baggage location, status, and handling instructions [1].

Middleware software processes RFID data, integrates it with airport systems, and provides real-time visibility into baggage movements. This enables airport staff to monitor baggage flow, identify potential issues, and take proactive measures. Advanced analytics tools analyse. RFID data to optimize baggage handling processes, identify bottlenecks, predict baggage flow patterns, and improve overall operational efficiency. RFID technology enables real-time tracking of baggage, reducing the risk of lost or misplaced luggage. Passengers can also receive updates on their baggage status, enhancing transparency and customer satisfaction. RFID tags can be used for tamper detection and authentication, enhancing security measures and preventing unauthorized access to luggage [2].

RFID-based systems automate baggage sorting processes, reducing manual handling and minimizing sorting errors. This leads to faster turnaround times and reduced flight delays. By gaining insights from RFID data analytics, airports can optimize resource allocation, streamline workflows, and allocate staff and equipment more effectively. Changi Airport implemented an RFIDbased baggage handling system that reduced mishandled baggage incidents by 20% and improved passenger satisfaction scores. Heathrow Airport utilizes RFID technology for baggage tracking and reconciliation, leading to enhanced operational efficiency and reduced baggage-related issues. Dubai Airport's RFID-enabled baggage handling system ensures seamless tracking of luggage across terminals, contributing to smooth passenger experiences [3].

Implementing RFID-based systems requires upfront investment in RFID infrastructure, tags, readers, and software. However, the long-term benefits in terms of operational efficiency and passenger experience often outweigh the initial costs. Integrating RFID systems with existing baggage handling infrastructure, airport IT systems, and airline operations requires careful planning and coordination to ensure seamless functionality. As RFID technology involves data collection and transmission, airports must adhere to data privacy regulations, implement robust cybersecurity measures, and safeguard passenger information. Integrating RFID data with blockchain technology can enhance data security, transparency, and traceability in baggage handling processes. AI-powered algorithms can analyze RFID data to predict baggage flow patterns, optimize resource allocation, and proactively address potential issues [4].

The Internet of Things integration with RFID systems enables sensorbased monitoring of baggage conditions, ensuring the safe transport of sensitive items. RFID-based traceable baggage handling systems offer a transformative solution for airports to enhance operational efficiency, improve passenger experience, and mitigate baggage-related challenges. By leveraging RFID technology, airports can achieve real-time baggage tracking, optimize resource allocation, enhance security measures, and streamline baggage handling workflows. Continuous advancements in RFID technology, data analytics, and integration with emerging technologies will further drive innovation in airport logistics and baggage management, shaping the future of air travel [5].

Acknowledgement

None.

Conflict of Interest

None.

References

  1. De Miguel, S. A., J. Zamorano, S. Pascual and M. López Cayuela, et al. "ISS nocturnal images as a scientific tool against light pollution: Flux calibration and colors." 1 (2013): 916-919.

    Google Scholar, Crossref, Indexed at

  2. Elvidge, Christopher D., Kimberly Baugh, Mikhail Zhizhin and Feng Chi Hsu, et al. "VIIRS night-time lights." Int J Remote Sens 38 (2017): 5860-5879.

    Google Scholar, Crossref, Indexed at

  3. Huang, Qingxu, Xi Yang, Bin Gao and Yang Yang, et al. "Application of DMSP/OLS nighttime light images: A meta-analysis and a systematic literature review." Remote Sens 6 (2014): 6844-6866.

    Google Scholar, Crossref, Indexed at

  4. Elvidge, Christopher D., Kimberly E. Baugh, Eric A. Kihn and Herbert W. Kroehl, et al. "Mapping city lights with nighttime data from the DMSP Operational Linescan System." PE&RS 63 (1997): 727-734.

    Google Scholar, Indexed at

  5. Croft, Thomas A. "Burning waste gas in oil fields." Nature 245 (1973): 375-376.

    Google Scholar, Crossref

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Citations: 9750

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