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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_1764998640765,
	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  -