Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test
This research examines how Internet of Things (IoT) technology and advanced analytics may be integrated into trash management. The results show a notable improvement in waste collection efficiency, cost savings, and environmental sustainability. Significant operational cost reductions were achieved...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Subjects: | |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/05/bioconf_rtbs2024_01090.pdf |
| _version_ | 1797352928272449536 |
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| author | Kuzhin Marat F. Joshi Abhishek Mittal Vaibhav Khatkar Monika Guven Ugur |
| author_facet | Kuzhin Marat F. Joshi Abhishek Mittal Vaibhav Khatkar Monika Guven Ugur |
| author_sort | Kuzhin Marat F. |
| collection | DOAJ |
| description | This research examines how Internet of Things (IoT) technology and advanced analytics may be integrated into trash management. The results show a notable improvement in waste collection efficiency, cost savings, and environmental sustainability. Significant operational cost reductions were achieved by reducing the number of overfilled trash cans by 20% and the frequency of collections by 15% as a consequence of real-time data capture using IoT sensors. Additionally, a 25% reduction in trip distance was made possible by data-driven route optimization, which also resulted in a 10% drop in fuel use and a decrease in carbon emissions. The data-driven strategy also found areas for recycling, which increased the amount of recyclables collected by 15%. These findings highlight the promise that data-driven trash management has for improving both environmental and economic sustainability while tackling the problems associated with urban garbage. |
| first_indexed | 2024-03-08T13:23:50Z |
| format | Article |
| id | doaj.art-ad35129924494400b3ac03296cca775a |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-03-08T13:23:50Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-ad35129924494400b3ac03296cca775a2024-01-17T15:02:13ZengEDP SciencesBIO Web of Conferences2117-44582024-01-01860109010.1051/bioconf/20248601090bioconf_rtbs2024_01090Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization TestKuzhin Marat F.0Joshi Abhishek1Mittal Vaibhav2Khatkar Monika3Guven Ugur4Moscow State University of Civil EngineeringUttaranchal UniversityLovely Professional UniversityK R Mangalam UniversityGD Goenka UniversityThis research examines how Internet of Things (IoT) technology and advanced analytics may be integrated into trash management. The results show a notable improvement in waste collection efficiency, cost savings, and environmental sustainability. Significant operational cost reductions were achieved by reducing the number of overfilled trash cans by 20% and the frequency of collections by 15% as a consequence of real-time data capture using IoT sensors. Additionally, a 25% reduction in trip distance was made possible by data-driven route optimization, which also resulted in a 10% drop in fuel use and a decrease in carbon emissions. The data-driven strategy also found areas for recycling, which increased the amount of recyclables collected by 15%. These findings highlight the promise that data-driven trash management has for improving both environmental and economic sustainability while tackling the problems associated with urban garbage.https://www.bio-conferences.org/articles/bioconf/pdf/2024/05/bioconf_rtbs2024_01090.pdfiotwaste managementdata-drivenanalyticssustainability |
| spellingShingle | Kuzhin Marat F. Joshi Abhishek Mittal Vaibhav Khatkar Monika Guven Ugur Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test BIO Web of Conferences iot waste management data-driven analytics sustainability |
| title | Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test |
| title_full | Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test |
| title_fullStr | Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test |
| title_full_unstemmed | Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test |
| title_short | Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test |
| title_sort | optimizing waste management through iot and analytics a case study using the waste management optimization test |
| topic | iot waste management data-driven analytics sustainability |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/05/bioconf_rtbs2024_01090.pdf |
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