Intelligent Waste Sorting and Routing System for Smart Cities

Waste management issues have gotten worse due to rapid urbanization, which has resulted in resource waste, inefficiency, and pollution of the environment. To solve these problems, the Intelligent Waste Sorting and Routing System for Smart Cities provides an automated, data-driven solution. While machine learning algorithms categorize waste into recyclable, organic, and non-recyclable categories, IoT-enabled smart bins identify the type of waste and fill levels. A central system receives real-time data and uses it to determine the best collection routes for waste management trucks, reducing carbon emissions, fuel consumption, and operating expenses. Additionally, the system gives city officials analytics to improve their recycling plans and environmentally friendly operations. In contemporary smart cities, this solution enhances productivity, lessens environmental impact, and encourages sustainable urban living by combining intelligent sorting, IoT sensing, and optimized routing.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-19
DOI
https://doi.org/10.22214/ijraset.2025.73661
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Waste Sorting and Routing System for Smart Cities

Praveen Kumar Naidu Rayanki
International Journal for Research in Applied Science and Engineering Technology
Municipal Solid Waste Management
article

Intelligent Waste Sorting and Routing System for Smart Cities

Praveen Kumar Naidu Rayanki
article en

Abstract

Waste management issues have gotten worse due to rapid urbanization, which has resulted in resource waste, inefficiency, and pollution of the environment. To solve these problems, the Intelligent Waste Sorting and Routing System for Smart Cities provides an automated, data-driven solution. While machine learning algorithms categorize waste into recyclable, organic, and non-recyclable categories, IoT-enabled smart bins identify the type of waste and fill levels. A central system receives real-time data and uses it to determine the best collection routes for waste management trucks, reducing carbon emissions, fuel consumption, and operating expenses. Additionally, the system gives city officials analytics to improve their recycling plans and environmentally friendly operations. In contemporary smart cities, this solution enhances productivity, lessens environmental impact, and encourages sustainable urban living by combining intelligent sorting, IoT sensing, and optimized routing.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Openalex Percentile: Top 74%
Municipal Solid Waste Management
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