The swift growth of urban areas and the rise in waste pro- duction have heightened difficulties in managing municipal waste. Con- ventional systems depend on fixed schedules and manual oversight, which frequently lead to inefficiencies. This study suggests a Smart Waste Col- lection Management System that combines web and mobile technologies to streamline and enhance waste collection processes. Test results show enhanced efficiency and shorter response times.
Introduction
The study presents a Smart Waste Collection Management System designed to address the growing challenges of solid waste management caused by rapid urbanization. Traditional waste collection methods are often inefficient, lacking adaptability, transparency, and citizen engagement. To overcome these limitations, the proposed system leverages modern technologies such as cloud computing, mobile applications, and web-based platforms to enhance service efficiency and coordination.
A review of related work highlights existing solutions that incorporate IoT-enabled smart bins, GPS tracking, and route optimization. However, these approaches provide limited focus on centralized administrative control and active citizen participation. The proposed system aims to bridge this gap by integrating user interaction, real-time coordination, and centralized monitoring within a unified platform.
The system is built using a three-tier architecture consisting of the Presentation Layer (web/mobile interface), Application Layer (authentication, scheduling, APIs, notifications), and Data Layer (databases for users, bookings, payments, and feedback). This layered design enhances scalability, maintainability, and security. The workflow enables users to register, submit pickup requests, and have collectors assigned automatically, ensuring efficient task management and communication.
The system incorporates an entity-relationship-based database design and utilizes modern technologies such as React.js or Flutter for the frontend, Node.js or Django for the backend, MySQL or PostgreSQL for data management, and AWS or Google Cloud Platform for deployment. Performance evaluation indicates that the proposed system significantly reduces response time and improves operational efficiency compared to traditional waste collection methods.
Overall, the system provides a scalable, technology-driven solution for improving urban waste management through enhanced coordination, transparency, and service optimization.
Conclusion
The proposed Smart Waste Collection Management System enhances efficiency, transparency, and coordination through digital automation. The modular archi- tecture ensures scalability for smart city environments. Future enhancements include AI-based route optimization and IoT integration.
References
[1] Sharma et al., “IoT-Based Smart Waste Management Systems,” IEEE Access, vol. 9, pp. 45678–45686, 2022.
[2] R. Kumar and S. Patel, “Mobile Applications for Urban Waste Collection,” Inter- national Journal of Smart City Research, 2021.
[3] M. Singh, “Digital Platforms for Sustainable Waste Management,” in IEEE Confer- ence on Sustainable Technologies Proceedings, 2020.