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Silva, J. T., Oliveira, A. F., Martins, A. L. & Ferreira, J. C. (2019). Optimize capacity for a uniform waste transportation collection. In Intelligent Transport Systems: From Research and Development to the Market Uptake. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. (pp. 108-128).: Springer.
J. T. Silva et al., "Optimize capacity for a uniform waste transportation collection", in Intelligent Transport Systems: From Research and Development to the Market Uptake. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer, 2019, vol. 310, pp. 108-128
@inproceedings{silva2019_1734130320826, author = "Silva, J. T. and Oliveira, A. F. and Martins, A. L. and Ferreira, J. C.", title = "Optimize capacity for a uniform waste transportation collection", booktitle = "Intelligent Transport Systems: From Research and Development to the Market Uptake. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering", year = "2019", editor = "", volume = "310", number = "", series = "", doi = "10.1007/978-3-030-38822-5_8", pages = "108-128", publisher = "Springer", address = "", organization = "", url = "https://link.springer.com/book/10.1007/978-3-030-38822-5" }
TY - CPAPER TI - Optimize capacity for a uniform waste transportation collection T2 - Intelligent Transport Systems: From Research and Development to the Market Uptake. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering VL - 310 AU - Silva, J. T. AU - Oliveira, A. F. AU - Martins, A. L. AU - Ferreira, J. C. PY - 2019 SP - 108-128 SN - 1867-8211 DO - 10.1007/978-3-030-38822-5_8 UR - https://link.springer.com/book/10.1007/978-3-030-38822-5 AB - Transportation-related costs are responsible for a large portion of the waste collection process. In the past several optimization approaches in routing having been the proposal with a diversity of algorithm. In this work we propose a novel approach where we analyze waste deposition volume and try to identify patterns for a deterministic and uniform waste collection. Instead of routing optimization we propose a capacity determination based on location, year period, special events and weather conditions. An IoT sensor transmitted volume every time the wasted door is open and provide real-time value. ER -