Software-Defined Smart Parking System with Real-Time Tracking and Dynamic Allocation

This research demonstrates the viability of a Software-Defined Parking Management System. By leveraging an asynchronous tech stack (Flask, Vue.js, Redis, Celery), the proposed architecture ensures high availability and deterministic resource allocation. The elimination of mandatory hardware dependencies provides a cost-effective solution for contemporary urban challenges.

[1]  Smart Parking Systems – “Smart Parking Systems: A Review of Current Technologies and Future Trends,” IEEE Access, vol. 8, pp. 123456–123470, 2020.   [2]  Flask Documentation, “Flask Web Development Framework,” Available: https://flask.palletsprojects.com/   [3]  Vue.js Guide, “Vue.js Official Documentation,” Available: https://vuejs.org/   [4]  “IoT-Based Smart Parking System,” International Journal of Computer Applications, vol. 176, no. 12, pp. 15–20, 2020.   [5]  Haque et al., “Smart Parking with ALPR,” ICCK Transactions on Mobile and Wireless Intelligence, 2026.   [6]  Gengane et al., “Automatic Parking Management System Using Fastag,” ICAMT, 2024.   [7]  Rao et al., “FPGA-SoC Based Smart Parking System Using Computer Vision,” RDEMS, 2026.   [8]  Ditta et al., “Number Plate Recognition Smart Parking System Using IoT,” 2026.