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| Content Provider | ACM Digital Library |
|---|---|
| Author | Christodoulou, Sotiris Alefragis, Panayiotis Asimakopoulos, George Triantafillou, Vassilios Gizas, Andreas |
| Abstract | Dynacargo is a project that aims at developing a near real-time monitoring system for waste bins' fill level. This data is used to predict the fill-level of waste bins and dynamically manage the waste collection procedure. This leads to truck distance minimization by utilizing routing algorithms. Dynacargo adds a set of durable, low cost sensors and RFID tags to existing waste bins. The tags store the fill-level measures by sensors, which is communicated through a variety of communication means and reaches a central information management system. Along with this real time data collection and transmission, data mining techniques are executed on older data collected prior to Dynagargo implementation, in order to forecast future waste bins fill levels. In this paper we present and discuss the promising evaluation results of the project on the case study of Nafpaktia municipality. |
| Starting Page | 1 |
| Ending Page | 5 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450347891 |
| DOI | 10.1145/3003733.3003804 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-11-10 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Graph routing algorithms Data mining Intelligent transportation systems Urban solid waste collection |
| Content Type | Text |
| Resource Type | Article |
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