ArticleWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2023
Comparison of different waste bin monitoring approaches: An exploratory study.
Article in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Development and simulation of an innovative autonomous knowledge-based smart waste collection system.Scientific reports · 2026Article
- Computer Vision for Glass Waste: Technologies and Sensors.Sensors (Basel, Switzerland) · 2025Review
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4 authors.
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Abstract
Waste bin monitoring solutions are an essential step towards smart cities. This study presents an exploratory analysis of two waste bin monitoring approaches: (1) ultrasonic sensors installed in the bins and (2) visual observations (VO) of the waste collection truck drivers. Bin fill level data was collected from a Portuguese waste management company. A comparative statistical analysis of the two datasets (VO and sensor observations) was performed and a predictive model based on Gaussian processes was applied to enable a trade-off analysis of the number of collections versus the number of overflows for each monitoring approach. The results demonstrate that the VO are valuable and reveal that significant improvements can be achieved for either of the monitoring approaches in relation to the current situation. A monitoring approach based on VO combined with a predictive model is shown to be viable and leads to a considerable reduction in the number of collections and overflows. This approach can enable waste collection companies to improve their collection operations with minimal investment costs during their transition to fully sensorized bins.
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