ABSTRACT

This study underscores the potential of designing and implementing a web-based parking lot management system aimed at enhancing efficiency, user experience, and optimal space utilization in urban environments. Traditional parking management methods rely heavily on manual processes, leading to congestion, delays, errors, and limited accessibility. To address these issues, the proposed system leverages modem web technologies, including cloud computing, real-time data processing, and IoT integrations, to automate slot allocation, enable remote booking, and facilitate cashless payments. The methodology employs an agile development approach, incorporating algorithms such as First-Come, First-Served and a timeout mechanism to ensure fair and flexible slot management. The system architecture adopts a three-tier model with intuitive user interfaces for clients and administrators, supported by a scalable MongoDB database. Empirical evaluations, including system demonstrations and use case scenarios, confinn that the system reduces manual intervention, improves space utilization, and offers real-time updates. Despite its successes, the research highlights ongoing challenges, including cybersecurity threats, high implementation costs, and the need for broader user acceptance, especially among less tech-savvy populations. Future directions suggested by this work involve integrating advanced technologies like IoT sensors for automatic vehicle detection, license plate recognition for enhanced security, and secure online payment gateways to streamline transactions. Recommendations include integrating additional security features, IoT sensors, and license plate recognition technologies to further optimize parking operations.