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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63587

CNG- SmartQueue

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63587

Volume:

10 |

5 |

May 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63587

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Yash Arvind Patil

Yash Arvind Patil

Department of Computer Science and Engineering

Shri Sant Gadge Baba College Bhusawal, India, 425203

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Anam Naeem Shaikh

Anam Naeem Shaikh

Department of Computer Science and Engineering

Shri Sant Gadge Baba College Bhusawal, India, 425203

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Bhavesh Tushar Patil

Bhavesh Tushar Patil

Department of Computer Science and Engineering

Shri Sant Gadge Baba College Bhusawal, India, 425203

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Varad Sanjay Patil

Varad Sanjay Patil

Department of Computer Science and Engineering

Shri Sant Gadge Baba College Bhusawal, India, 425203

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Mentors

Dr. Priti Subramanium

Dr. Priti Subramanium

Department of Computer Science and Engineering

Shri Sant Gadge Baba College Bhusawal, India, 425203

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Abstract

Cng - SmartQueue is an online CNG refueling slot booking system designed to reduce long waiting times and improve the efficiency of CNG stations. In many cities, CNG users face significant delays due to unpredictable queues and manual ticket distribution. This system provides a smart solution by allowing users to check real-time slot availability and book a convenient time for refueling through a mobile application. The platform offers features such as user registration, vehicle management, station selection, slot booking booking history, and notifications. By scheduling visits in advance, users can avoid long queues, save time, and manage their travel more effectively. CNG station operators also benefit from better crowd management, improved service flow, and data-driven insights. Cng - SmartQueue aims to create a seamless, user-friendly, and efficient refueling experience by digitalizing the entire process. The system enhances convenience, reduces congestion at fuel stations, and supports smarter resource utilization, making it a practical solution for modern urban transportation needs.

KEYWORDS

Key Words: CNG refueling slot booking system Online CNG Booking Digital refueling booking Time saving Crowd management for stations.

Cite This Article

Yash Arvind Patil, Anam Naeem Shaikh, Bhavesh Tushar Patil, Varad Sanjay Patil, Dr. Priti Subramanium, "CNG- SmartQueue," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-3, May 2026. https://doi.org/10.55041/IJSREM63587

Full Article/Conclusion

The project successfully demonstrates how a structured and automated system can improve the overall efficiency of fuel station operations. By replacing traditional manual methods with a digital workflow, the system ensures faster service, accurate fuel dispensing, transparent billing, and reliable record-keeping. The activity flow clearly shows how users can refuel, make payments, and receive confirmations with minimal effort.    Through this project, we understood the importance of system design concepts such as activity diagrams, data flow, and interaction between different modules. The solution not only enhances customer experience but also helps fuel station owners manage resources, prevent errors, and maintain smooth day-to-day operations. Overall, the project proves that a well-designed management system can significantly reduce

References

1.      Khan, R., & Iqbal, M. (2019). Implementing real-time booking platforms for public transport services. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3482–3490. 2.      Desai, H., & Bhatt, V. (2022). Optimizing fuel station operations using digital queue systems. Journal of Urban Mobility Studies, 5(1), 67–78.   3.        Chen, M. K., Rossi, F., Chevalier, J. A., Oehlsen, E., & Zucker, M. (2019). The value of flexible work: Evidence from Uber drivers. Journal of Political Economy, 127(6), 2735–2794.   4.        Gupta, R., & Singh, M. (2020). Smart queue management systems for urban public services: A review and analysis. International Journal of Smart Infrastructure, 8(2), 115–128. 5.        Patel, A., & Kothari, N. (2021). Digital slot-booking solutions for fuel stations: Improving efficiency through mobile applications. Journal of Transportation Technologies, 11(4), 505–518. 6.        Sharma, P., & Verma, S. (2020). Mobile-based scheduling systems for reducing congestion in public service centers. International Journal of Computer Applications, 176(32), 12–19.

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Publication Date

5/20/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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