• Yash Ingle
• Abhijit Lavhale
• Vedant Hedau
• Ayush Bendale
• Shrikant Shinde

In the contemporary era marked by the Internet of Things (IoT) and the evolution of smart city infrastructures, there is a pressing demand for innovative smart parking systems to promote the development of more sustainable urban areas. This study provides an in-depth exploration of various smart parking solutions and their applications within IoT-enabled cities. It evaluates existing techniques and technologies for parking guidance, reservation, detection, and prediction, while also examining their advantages and challenges. Furthermore, it emphasizes the pivotal role of deep learning in improving the performance and scalability of smart parking systems. Ultimately, the survey aims to have the potential future directions of smart parking research and development.

Smart Parking System, Internet of Things (IoT), Deep Learning

"A Survey on Deep Learning Algorithm used for Smart Parking Reservation and Navigation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.c435-c439, March-2024, Available :http://www.jetir.org/papers/JETIR2403255.pdf

"A Survey on Deep Learning Algorithm used for Smart Parking Reservation and Navigation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppc435-c439, March-2024, Available at : http://www.jetir.org/papers/JETIR2403255.pdf