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A Novel and Smart Parking System for the University Parking System

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Intelligent Computing Paradigm and Cutting-edge Technologies (ICICCT 2020)

Abstract

The necessity of an efficient and reliable car parking system is felt widespread in today’s technologically advanced world. In the Vellore Institute of Technology, car owners find it a very tedious task to search for car parking slots across the campus. Thus, our system caters to the need of such individuals by replacing the existing traditional method with an efficient car parking system. The proposed system finds a parking slot without any hassle is achieved by the use of a reliable smart app along with a cost-efficient and an accurate infrared sensor. Successful implementation of this technique leads to fewer traffic jams and hence judicious use of time.

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References

  1. Cunningham, R. F. (1993). Smart card applications in integrated transit fare, parking fee and automated toll payment systems-the MAPS concept. In Conference Proceedings of the National Telesystems Conference (pp. 21–25), Atlanta, GA, USA. https://doi.org/10.1109/NTC.1993.293015.

  2. Inaba, K., Shibui, M., Naganawa, T., Ogiwara, M., & Yoshikai, N. (2001). Intelligent parking reservation service on the internet. In Proceedings Symposium on Applications and the Internet Workshops (Cat. No. 01PR0945) (pp. 159–164), San Diego, CA, USA. https://doi.org/10.1109/SAINTW.2001.998224.

  3. Mohandes, M., Deriche, M., Abuelma’atti, M. T., & Tasadduq, N. (2019). Preference-based smart parking system in a university campus. IET Intelligent Transport Systems, 13(2), 417–423. https://doi.org/10.1049/iet-its.2018.5207.

  4. Mohan Rao, A., & Ramachandra Rao, K. (2012). Measuring urban traffic congestion—A review. International Journal of Traffic Transportation Engineering, 2(4), 286–305.

    Article  Google Scholar 

  5. Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2014). Short-term traffic forecasting: Where we are and where we’re going. Transportation Research Part C Emerging Technologies, 43, 3–19.

    Article  Google Scholar 

  6. Angayarkanni, S. A., Sivakumar, R., & Ramana Rao, Y. V. (2019). Review on traffic congestion detection methodologies and tools. International Journal of Advanced Science and Technology, 28(16), 1400–1414.

    Google Scholar 

  7. Basavaraju, S. R., Poornimakkani, S., Senthilkumar, S., & Finney Daniel, S. (2018). A cloud based end-to-end smart parking solution powered by IoT. International Research Journal of Engineering and Technology (IRJET), 3(5), 3559–3565.

    Google Scholar 

  8. Kiliç, T., & Tuncer, T. (2017). Smart city application: Android based smart parking system. In International Artificial Intelligence and Data Processing Symposium (IDAP) (pp. 1–4), Malatya. https://doi.org/10.1109/IDAP.2017.8090284.

  9. Sadhukhan, P. (2017). An IoT-based E-parking system for smart cities. In International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1062–1066), Udupi. https://doi.org/10.1109/ICACCI.2017.8125982.

  10. Kazi, S., Khan, S., Ansari, U., & Mane, D. (2018). Smart parking based System for smarter cities. In International Conference on Smart City and Emerging Technology (ICSCET) (pp. 1–5), Mumbai. https://doi.org/10.1109/ICSCET.2018.8537281.

  11. Awaisi, K. S., Abbas, A., Zareei, M., Khattak, H. A., Khan, M. U. S., Ali, M., et al. (2019). Towards a fog enabled efficient car parking architecture. Access IEEE, 7, 159100–159111.

    Article  Google Scholar 

  12. Mahendra, B. M., Sonoli, S., Bhat, N., Raju, & Raghu, T. (2017). IoT based sensor enabled smart car parking for advanced driver assistance system. In 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 2188–2193), Bangalore. https://doi.org/10.1109/RTEICT.2017.8256988.

  13. Hassoune, K., Dachry, W., Moutaouakkil, F., & Medromi, H. (2016). Smart parking systems: A survey. In 11th International Conference on Intelligent Systems: Theories and Applications (SITA) (pp. 1–6), Mohammedia. https://doi.org/10.1109/SITA.2016.7772297.

  14. Grodi, R., Rawat, D. B., & Rios-Gutierrez, F. (2016). Smart parking: Parking occupancy monitoring and visualization system for smart cities. In SoutheastCon 2016 (pp. 1–5), Norfolk, VA. https://doi.org/10.1109/SECON.2016.7506721.

  15. Khanna, A., & Anand, R. (2016). IoT based smart parking system. In International Conference on Internet of Things and Applications (IOTA) (pp. 266–270), Pune. https://doi.org/10.1109/IOTA.2016.7562735.

  16. Kanteti, D., Srikar, D. V. S., & Ramesh, T. K. (2017). Smart parking system for a commercial stretch in cities. In International Conference on Communication and Signal Processing (ICCSP) (pp. 1285–1289), Chennai. https://doi.org/10.1109/ICCSP.2017.8286588.

  17. Keat, T. M. (2018). IoT based smart parking system for large parking lot. In IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA) (pp. 1–4), Perambalur, Tamil Nadu, India. https://doi.org/10.1109/ROMA46407.2018.8986731.

  18. Salpietro, R., Bedogni, L., Di Felice, M., & Bononi, L. (2015). Park here! A smart parking system based on smartphones’ embedded sensors and short-range communication technologies. In IEEE 2nd World Forum on the Internet of Things (WF-IoT) (pp. 18–23), Milan. https://doi.org/10.1109/WF-IoT.2015.7389020.

  19. Tang, V. W. S., Zheng, Y., & Cao, J. (2006). An intelligent car park management system based on wireless sensor networks. In First International Symposium on Pervasive Computing and Applications (pp. 65–70), Urumqi. https://doi.org/10.1109/SPCA.2006.297498.

  20. Pala, Z., & Inanc, N. (2007). Smart parking applications using RFID technology. In 1st Annual RFID Eurasia (pp. 1–3), Istanbul. https://doi.org/10.1109/RFIDEURASIA.2007.4368108.

  21. Swatha, M., & Pooja, K. (2018). Smart car parking with monitoring system. In IEEE International Conference on System, Computation, Automation and Networking (ICSCA) (pp. 1–5), Pondicherry. https://doi.org/10.1109/ICSCAN.2018.8541196.

  22. Al-Jabi, M., & Sammaneh, H. (2018). Toward mobile AR-based interactive smart parking system. In IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 1243–1247), Exeter, United Kingdom. https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00209.

  23. Jioudi, B., Sabir, E., Moutaouakkil, F., & Medromi, H. (2019). Estimating parking time under batch arrival and dynamic pricing policy. In 2019 IEEE 5th World Forum on Internet of Things (WF-IoT) (pp. 819–824).

    Google Scholar 

  24. Angayarkanni, S. A., Sivakumar, R., & Ramana Rao, Y. V. (2020). Hybrid Grey Wolf: Bald Eagle search optimized support vector regression for traffic flow forecasting. Journal of Ambient Intelligent and Humanized Computing. https://doi.org/10.1007/s12652-020-02182-w.

    Article  Google Scholar 

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Correspondence to V. Madhumitha .

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Madhumitha, V., Sudharshini, V., Muthuraja, S., Rajagopal, S., Angayarkanni, S.A., Al-Rousan, T. (2021). A Novel and Smart Parking System for the University Parking System. In: Favorskaya, M.N., Peng, SL., Simic, M., Alhadidi, B., Pal, S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2020. Learning and Analytics in Intelligent Systems, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-65407-8_6

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