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- Vol. 5 Issue 3
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Digital Parking Management System using IoT
Authors
1 Academics Dean, Faculty of Polytechnic Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India. 2 HOD, Department of Computer Engineering, Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India. 3 Project Guide, Department of Computer Engineering, Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India. 4 5 6 7 Department, of Computer Engineering, Sanjay Bhokare Group of Institute, Miraj, Maharashtra, India.
Article Information
- Published In
- Volume 5, Issue 3 (2026)
- Published Online
- September-December 2026
- Pages
- 517-521
- Article Type
- Original Article
References
1. R. Kanan and H. Arbess, “An intelligent real-time parking monitoring and automatic billing system using IoT,” in Proc. 2020 IEEE Int. Conf. Informatics, IoT, and Enabling Technologies (ICIoT), 2020, doi: 10.1109/ICIoT48696.2020.9089589.
2. A. Khanna and R. Anand, “IoT based smart parking system,” in Proc. 2016 Int. Conf. Internet of Things and Applications (IOTA), Pune, India, 2016, pp. 266–270, doi: 10.1109/IOTA.2016.7562735.
3. Y. Zheng, S. Rajasegarar, and C. Leckie, “Parking availability prediction for sensor-enabled car parks in smart cities,” in Proc. 2015 IEEE 10th Int. Conf. Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015, doi: 10.1109/ISSNIP.2015.7106902.
4. P. Pham, M. Tsai, D. Nguyen, C. Dow, and D. Deng, “A cloud-based smart-parking system based on Internet-of-Things technologies,” IEEE Access, vol. 3, pp. 1581–1591, 2015, doi: 10.1109/ACCESS.2015.2477299.
5. V. Paidi, H. Fleyeh, J. Håkansson, and R. G. Nyberg, “Smart parking sensors, technologies and applications for open parking lots: A review,” IET Intell. Transp. Syst., vol. 12, pp. 735–741, 2018, doi: 10.1049/iet-its.2017.0406.
6. J. Rico, J. Sancho, B. Cendón, and M. Camus, “Parking easier by using context information of a smart city: Enabling fast search and management of parking resources,” in Proc. 2013 27th Int. Conf. Advanced Information Networking and Applications Workshops (WAINA), 2013, pp. 1380–1385.
7. M. Karthi and P. Harris, “Smart parking with reservation in cloud based environment,” in Proc. 2016 IEEE Int. Conf. Cloud Computing in Emerging Markets (CCEM), 2016, pp. 164–167.
8. S. N. H. S. Abdullah, K. Omar, S. Sahran, and M. Khalid, “License plate recognition based on support vector machine,” in Proc. 2009 Int. Conf. Electrical Engineering and Informatics, 2009, pp. 78–82, doi: 10.1109/ICEEI.2009.5254811.
2. A. Khanna and R. Anand, “IoT based smart parking system,” in Proc. 2016 Int. Conf. Internet of Things and Applications (IOTA), Pune, India, 2016, pp. 266–270, doi: 10.1109/IOTA.2016.7562735.
3. Y. Zheng, S. Rajasegarar, and C. Leckie, “Parking availability prediction for sensor-enabled car parks in smart cities,” in Proc. 2015 IEEE 10th Int. Conf. Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015, doi: 10.1109/ISSNIP.2015.7106902.
4. P. Pham, M. Tsai, D. Nguyen, C. Dow, and D. Deng, “A cloud-based smart-parking system based on Internet-of-Things technologies,” IEEE Access, vol. 3, pp. 1581–1591, 2015, doi: 10.1109/ACCESS.2015.2477299.
5. V. Paidi, H. Fleyeh, J. Håkansson, and R. G. Nyberg, “Smart parking sensors, technologies and applications for open parking lots: A review,” IET Intell. Transp. Syst., vol. 12, pp. 735–741, 2018, doi: 10.1049/iet-its.2017.0406.
6. J. Rico, J. Sancho, B. Cendón, and M. Camus, “Parking easier by using context information of a smart city: Enabling fast search and management of parking resources,” in Proc. 2013 27th Int. Conf. Advanced Information Networking and Applications Workshops (WAINA), 2013, pp. 1380–1385.
7. M. Karthi and P. Harris, “Smart parking with reservation in cloud based environment,” in Proc. 2016 IEEE Int. Conf. Cloud Computing in Emerging Markets (CCEM), 2016, pp. 164–167.
8. S. N. H. S. Abdullah, K. Omar, S. Sahran, and M. Khalid, “License plate recognition based on support vector machine,” in Proc. 2009 Int. Conf. Electrical Engineering and Informatics, 2009, pp. 78–82, doi: 10.1109/ICEEI.2009.5254811.
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