SMART TRAFIC AND PARKING MANAGEMAENT SYSTEM

The implementation of the proposed smart parking system workflow significantly improves the efficiency, convenience, and security of parking management. By enabling users to search nearby parking areas, the system reduces the time and distance traveled in search of available spaces, thereby easing traffic congestion and fuel consumption. When users check slot availability in real time, they can make informed decisions before reaching the parking site, which enhances user experience and optimizes space utilization. The feature to book parking slots in advance reduces uncertainty and prevents last-minute conflicts, ensuring that reserved spaces are genuinely available when the user arrives. After booking, a QR code is generated and linked to the reservation details, providing a unique and tamper-resistant token for access control. At the entry gate, the guard scans the QR code, and the system instantly verifies the booking, allowing only authorized vehicles to enter and minimizing manual errors and fraudulent entries. Finally, when the QR code is successfully scanned, the system records the entry in the database, capturing vehicle details, slot number, entry time, and user information. This centralized logging supports accurate monitoring, reporting, and future analysis of parking patterns, which can guide infrastructure planning and policy decisions. Overall, the integration of these steps—searching nearby parking areas, checking availability, booking slots, generating QR codes, scanning at entry, and recording entries in the database—creates a streamlined, transparent, and user-friendly parking ecosystem that contributes to smarter urban mobility and better utilization of parking resources.

1)    Caicedo, F., Blázquez, C., & Miranda, P. A., “Smart Parking Services based on Wireless Sensor Networks,” Proceedings of the International Conference on     2)    Geng, Y., & Cassandras, C. G., “A New ‘Smart Parking’ System Based on Resource Allocation and Reservations,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 3, pp. 1218–1227, 2013.     3)    Shoup, D. C., The High Cost of Free Parking, Routledge, 2011.     4)    Amato, G., Carrara, F., Falchi, F., Gennaro, C., & Vairo, C., “A Computer Vision Approach to Parking Lot Occupancy Detection,” Pattern Recognition Letters, vol. 112, pp. 18–25, 2018.     5)    Rahman, M. M., Ahamed, S. I., & Islam, M. R., “QR Code-Based Secure Parking Access System,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 9, no. 5, 2018.     6)    Patel, J. K., & Shah, D. K., “Smart Parking System Using IoT and Image Processing,” International Journal of Engineering Trends and Technology (IJETT), vol. 73, no. 12, pp. 104– 110, 2025.     7)    Al-Kurdi, F., “The Impact of Policy Laws and Building Regulation on House Patterns,” PLEA 2015– Passive and Low Energy Architecture Conference, Bologna, Italy, 2015.     8)    Imrie, R., “The Role of the Building Regulations in Achieving Housing Quality,” Environment and Planning B: Planning and Design, vol. 31, pp. 419–437, 2004.   9)    Banerjee, R., “Importance of Building Code,” International Journal of Engineering Research and Applications (IJERA), vol. 5, no. 6 (Part-5), pp. 94–95, 2015.   10) Subash Chandira, M., “Development Control Rules and Byelaws in Tamil Nadu,” ITPi Journal, vol. 4, no. 1, pp. 37–43, 2007