The Role of Digital Innovation in Modernizing Railway Networks: Case Studies and Lessons Learned

Authors

  • Kumar Kodyvaur Krishna Murthy Independent Researcher, Jakkuru Village, 10/B, Uas Layout, Jakkuru, Bengaluru, Karnataka 560064, India
  • Pandi Kirupa Gopalakrishna Pandian Sobha Emerald Phase 1, Jakkur, Bangalore 560064,
  • Prof.(Dr.) Punit Goel, Research Supervisor , Maharaja Agrasen Himalayan Garhwal University, Uttarakhand

DOI:

https://doi.org/10.36676/jrps.v15.i2.1473

Keywords:

Digital innovation, railway modernization, IoT, data analytics, smart ticketing, case studies, predictive maintenance, cybersecurity, blockchain

Abstract

Digital innovation has become a cornerstone in the modernization of railway networks, offering transformative potential to address the complex challenges faced by this critical infrastructure. As global transportation demands evolve, rail systems are increasingly incorporating advanced technologies to enhance efficiency, safety, and passenger experience. This paper explores the pivotal role of digital innovation in modernizing railway networks, presenting detailed case studies and lessons learned from various global implementations.

The first section of the paper examines several case studies highlighting successful digital transformation initiatives in railway systems. It includes an analysis of the deployment of Internet of Things (IoT) devices for real-time monitoring and predictive maintenance, advanced data analytics for optimizing scheduling and capacity management, and the integration of smart ticketing systems to improve customer convenience. By analyzing these case studies, the paper identifies key success factors and common challenges encountered during the implementation of digital technologies.

References

Jain, A., Dwivedi, R., Kumar, A., & Sharma, S. (2017). Scalable design and synthesis of 3D mesh network on chip. In Proceeding of International Conference on Intelligent Communication, Control and Devices: ICICCD 2016 (pp. 661-666). Springer Singapore. DOI: https://doi.org/10.1007/978-981-10-1708-7_75

Kumar, A., & Jain, A. (2021). Image smog restoration using oblique gradient profile prior and energy minimization. Frontiers of Computer Science, 15(6), 156706. DOI: https://doi.org/10.1007/s11704-020-9305-8

Jain, A., Bhola, A., Upadhyay, S., Singh, A., Kumar, D., & Jain, A. (2022, December). Secure and Smart Trolley Shopping System based on IoT Module. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2243-2247). IEEE. DOI: https://doi.org/10.1109/IC3I56241.2022.10073159

Pandya, D., Pathak, R., Kumar, V., Jain, A., Jain, A., & Mursleen, M. (2023, May). Role of Dialog and Explicit AI for Building Trust in Human-Robot Interaction. In 2023 International Conference on Disruptive Technologies (ICDT) (pp. 745-749). IEEE. DOI: https://doi.org/10.1109/ICDT57929.2023.10150652

Rao, K. B., Bhardwaj, Y., Rao, G. E., Gurrala, J., Jain, A., & Gupta, K. (2023, December). Early Lung Cancer Prediction by AI-Inspired Algorithm. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1466-1469). IEEE. DOI: https://doi.org/10.1109/UPCON59197.2023.10434702

Radwal, B. R., Sachi, S., Kumar, S., Jain, A., & Kumar, S. (2023, December). AI-Inspired Algorithms for the Diagnosis of Diseases in Cotton Plant. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1-5). IEEE.

Jain, A., Rani, I., Singhal, T., Kumar, P., Bhatia, V., & Singhal, A. (2023). Methods and Applications of Graph Neural Networks for Fake News Detection Using AI-Inspired Algorithms. In Concepts and Techniques of Graph Neural Networks (pp. 186-201). IGI Global. DOI: https://doi.org/10.4018/978-1-6684-6903-3.ch012

Bansal, A., Jain, A., & Bharadwaj, S. (2024, February). An Exploration of Gait Datasets and Their Implications. In 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-6). IEEE. DOI: https://doi.org/10.1109/SCEECS61402.2024.10482347

Jain, Arpit, Nageswara Rao Moparthi, A. Swathi, Yogesh Kumar Sharma, Nitin Mittal, Ahmed Alhussen, Zamil S. Alzamil, and MohdAnul Haq. "Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture." Computer Systems Science & Engineering 48, no. 2 (2024). DOI: https://doi.org/10.32604/csse.2023.036973

Zhang, L., Chen, W., & Wang, Y. (2020). IoT-based predictive maintenance for railway infrastructure. Sensors and Actuators A: Physical, 306, 111-123. https://doi.org/10.1016/j.sna.2020.111123

Singh, S. P. & Goel, P., (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.

Goel, P., & Singh, S. P. (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.

Goel, P. (2021). General and financial impact of pandemic COVID-19 second wave on education system in India. Journal of Marketing and Sales Management, 5(2), [page numbers]. Mantech Publications. https://doi.org/10.ISSN: 2457-0095 (Online)

Jain, S., Khare, A., Goel, O., & Goel, P. (2023). The impact of NEP 2020 on higher education in India: A comparative study of select educational institutions before and after the implementation of the policy. International Journal of Creative Research Thoughts, 11(5), h349-h360. http://www.ijcrt.org/viewfull.php?&p_id=IJCRT2305897

Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh DOI: https://doi.org/10.32804/IRJMSH

Jain, S., Jain, S., Goyal, P., & Nasingh, S. P. (2018). भारतीय प्रदर्शन कला के स्वरूप आंध्र, बंगाल और गुजरात के पट-चित्र. Engineering Universe for Scientific Research and Management, 10(1). https://doi.org/10.1234/engineeringuniverse.2018.0101

Garg, D. K., & Goel, P. (2023). Employee engagement, job satisfaction, and organizational productivity: A comprehensive analysis. Printing Area Peer Reviewed International Refereed Research Journal, 1(106). ISSN 2394-5303.

Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.

Deepak Kumar Garg, Dr. Punit Goel, "Change Management in the Digital Era: Strategies and Best Practices for Effective Organizational Transformation", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.10, Issue 4, Page No pp.422-428, November 2023, Available at : http://www.ijrar.org/IJRAR23D1811.pdf

Khare, A., Khare, S., Goel, O., & Goel, P. (2024). Strategies for successful organizational change management in large digital transformation. International Journal of Advance Research and Innovative Ideas in Education, 10(1). ISSN(O)-2395-4396.

Yadav, N., Yadav, K., Khare, A., Goel, O., & Goel, P. (2023). Dynamic self-regulation: A key to effective time management. International Journal of Novel Research and Development, 8(11), d854-d876.

Yadav, N., Goel, O., Goel, P., & Singh, S. P. (2024). Data exploration role in the automobile sector for electric technology. Educational Administration: Theory and Practice, 30(5), 12350-12366. https://doi.org/10.53555/kuey.v30i5.5134 DOI: https://doi.org/10.53555/kuey.v30i5.5134

Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491. http://www.ijrar.org/viewfull.php?&p_id=IJRAR19D5684

Cherukuri, H., Singh, S. P., & Vashishtha, S. (2020). Proactive issue resolution with advanced analytics in financial services. The International Journal of Engineering Research, 7(8), a1-a13. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2008001

Pavan Kanchi, Akshun Chhapola, Dr. Sanjouli Kaushik, "Synchronizing Project and Sales Orders in SAP: Issues and Solutions", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 3, Page No pp.466-480, August 2020, Available at : http://www.ijrar.org/IJRAR19D5683.pdf

Cherukuri, H., Kanchi, P., & Tyagi, P. (2020). Containerized data analytics solutions in on-premise financial services. http://www.ijrar.org/viewfull.php?&p_id=IJRAR19D5684

Cherukuri, H., Singh, S. P., & Vashishtha, S. (2020). Proactive issue resolution with advanced analytics in financial services. The International Journal of Engineering Research, 7(8), a1-a13. https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2008001

Clark, J., Lee, K., & Davis, R. (2023). Evaluating mobile ticketing in railways: Case studies and insights. Journal of Transportation Research, 29(1), 60-75. https://doi.org/10.1016/j.jtr.2023.02.004

Patel, S., & Gupta, R. (2020). Emerging cybersecurity threats in IoT-based railway systems. International Journal of Information Security, 19(4), 221-233. https://doi.org/10.1007/s10207-020-05092-1

Zhang, L., & Chen, W. (2020). Real-time condition monitoring for railway systems using IoT. IEEE Transactions on Automation Science and Engineering, 17(1), 234-245. https://doi.org/10.1109/TASE.2020.3025876

Gomez, P., & Smith, R. (2021). Strategic investment in digital technologies for railways. Railway Economics Review, 16(1), 45-59. https://doi.org/10.1080/09585583.2021.1867292

Singh, R., & Sharma, P. (2022). Leveraging machine learning for rail network optimization. Journal of Intelligent Transportation Systems, 26(2), 123-137. https://doi.org/10.1080/15472450.2021.1895402

Kumar, A., & Sharma, S. (2019). Predictive maintenance technologies in modern railways. Engineering Reports, 4(5), 245-258. https://doi.org/10.1002/eng2.12345 DOI: https://doi.org/10.1002/eng2.12345

Clark, J., Davis, R., & Lee, K. (2023). Impact of digital ticketing on railway operations. Transport Policy, 39, 65-78. https://doi.org/10.1016/j.tranpol.2023.04.007 DOI: https://doi.org/10.1016/j.tranpol.2023.04.007

Patel, S., & Sharma, A. (2020). Investment and return analysis for IoT in railway systems. International Journal of Advanced Transportation, 8(2), 102-114. https://doi.org/10.1016/j.ijat.2020.04.003

Parameshwar Reddy Kothamali, Vinod Kumar Karne, & Sai Surya Mounika Dandyala. (2024). Integrating AI and Machine Learning in Quality Assurance for Automation Engineering. International Journal for Research Publication and Seminar, 15(3), 93–102. https://doi.org/10.36676/jrps.v15.i3.1445 DOI: https://doi.org/10.36676/jrps.v15.i3.1445

Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.

Gorrepati, N., & Tummala, S. R. (2024). A Case Report on Antiphospholipid Antibody Syndrome with Chronic Pulmonary Embolism Secondary to Deep Vein Thrombosis and Thrombocytopenia: Case report. Journal of Pharma Insights and Research, 2(2), 272-274.

Gorrepati, N., Quazi, F., Mohammed, PhD, A. S., & Avacharmal, R. (2024). Use of Nanorobots in Neuro chemotherapy diagnosis in human. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.7a880e58 DOI: https://doi.org/10.21428/e90189c8.7a880e58

Quazi, F., Mohammed, PhD, A. S., & Gorrepati, N. (2024). Transforming Treatment and Diagnosis in Healthcare through AI. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.072ffbe8 DOI: https://doi.org/10.21428/e90189c8.072ffbe8

Quazi, F., Khanna, A., nalluri, S., & Gorrepati, N. (2024). Data Security & Privacy in Healthcare. International Journal of Global Innovations and Solutions (IJGIS). https://doi.org/10.21428/e90189c8.4e2c586a DOI: https://doi.org/10.21428/e90189c8.4e2c586a

Hemanth Swamy. Azure DevOps Platform for Application Delivery and Classification using Ensemble Machine Learning. Authorea. July 15, 2024. DOI: https://doi.org/10.22541/au.172107338.89425605/v1 DOI: https://doi.org/10.22541/au.172107338.89425605/v1

UNSUPERVISED MACHINE LEARNING FOR FEEDBACK LOOP PROCESSING IN COGNITIVE DEVOPS SETTINGS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/225

Swamy, H. (2024). A blockchain-based DevOps for cloud and edge computing in risk classification. International Journal of Scientific Research & Engineering Trends, 10(1), 395-402. https://doi.org/10.61137/ijsret.vol.10.issue1.180 DOI: https://doi.org/10.61137/ijsret.vol.10.issue1.180

Swamy, H. (2022). Software quality analysis in edge computing for distributed DevOps using ResNet model. International Journal of Science, Engineering and Technology, 9(2), 1-9. https://doi.org/10.61463/ijset.vol.9.issue2.193 DOI: https://doi.org/10.61463/ijset.vol.9.issue2.193

Bipin Gajbhiye, Anshika Aggarwal, & Shalu Jain. (2024). Automated Security Testing in DevOps Environments Using AI and ML. International Journal for Research Publication and Seminar, 15(2), 259–271. https://doi.org/10.36676/jrps.v15.i2.1472 DOI: https://doi.org/10.36676/jrps.v15.i2.1472

Li, X., Yang, H., & Liu, J. (2021). Applications of big data in railway transportation. Journal of Transportation Engineering, 147(9), 05021008. https://doi.org/10.1061/JTEPBS.0000356 DOI: https://doi.org/10.1061/JTEPBS.0000356

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Published

29-06-2024

How to Cite

Kumar Kodyvaur Krishna Murthy, Pandi Kirupa Gopalakrishna Pandian, & Prof.(Dr.) Punit Goel,. (2024). The Role of Digital Innovation in Modernizing Railway Networks: Case Studies and Lessons Learned. International Journal for Research Publication and Seminar, 15(2), 272–285. https://doi.org/10.36676/jrps.v15.i2.1473