Waste management has become a matter of increasing importance on international, national, and local scales. The current socio-economic system is based on the growth of production and consumption of goods, leading to continuous and excessive waste production. In addition, factors such as urbanization, population growth, and inadequate waste management practices contribute to the growing volume and complexity of waste. Ineffective waste management contributes to climate change, pollution, and biodiversity loss while also representing a substantial economic loss. This paper presents Snap4Waste: a solution for waste management and optimization. The proposed approach improves efficiency through real-time data collection and analytics, IoT-based monitoring, and collection routing optimization. Furthermore, key features include entity management for bins, trucks, and collection routes, role-based access control, real-time tracking of bin fill levels and truck loads, and dynamic waste collection planning. The system integrates interactive KPI dashboards for performance assessment and an alarm management framework for rapid issue resolution. The platform has been implemented using data of the real-case scenario of Amsterdam and on top of the Snap4City open source platform for CN MOST, national center on sustainable mobility.
Snap4Waste: An Integrated Waste Dynamic Optimal Collection Management System / Collini, E., Ipsaro Palesi, L.A., Mentina, R.F., Nesi, P., Mereu, F., Tammaro, A.. - STAMPA. - (2026), pp. 202-219. (International Conference on Computational Science and Its Applications ) [10.1007/978-3-032-30497-1_13].
Snap4Waste: An Integrated Waste Dynamic Optimal Collection Management System
Collini, Enrico;Ipsaro Palesi, Luciano Alessandro
;Nesi, Paolo;Mereu, Fabrizio;
2026
Abstract
Waste management has become a matter of increasing importance on international, national, and local scales. The current socio-economic system is based on the growth of production and consumption of goods, leading to continuous and excessive waste production. In addition, factors such as urbanization, population growth, and inadequate waste management practices contribute to the growing volume and complexity of waste. Ineffective waste management contributes to climate change, pollution, and biodiversity loss while also representing a substantial economic loss. This paper presents Snap4Waste: a solution for waste management and optimization. The proposed approach improves efficiency through real-time data collection and analytics, IoT-based monitoring, and collection routing optimization. Furthermore, key features include entity management for bins, trucks, and collection routes, role-based access control, real-time tracking of bin fill levels and truck loads, and dynamic waste collection planning. The system integrates interactive KPI dashboards for performance assessment and an alarm management framework for rapid issue resolution. The platform has been implemented using data of the real-case scenario of Amsterdam and on top of the Snap4City open source platform for CN MOST, national center on sustainable mobility.| File | Dimensione | Formato | |
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