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Intelligent Transport Systems. From Research and Development to the Market Uptake. Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4–6, 2019

Research Article

Optimize Capacity for a Uniform Waste Transportation Collection

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  • @INPROCEEDINGS{10.1007/978-3-030-38822-5_8,
        author={Jos\^{e} Silva and Andr\^{e} Oliveira and Ana Martins and Jo\"{a}o Ferreira},
        title={Optimize Capacity for a Uniform Waste Transportation Collection},
        proceedings={Intelligent Transport Systems. From Research and Development to the Market Uptake. Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4--6, 2019},
        proceedings_a={INTSYS},
        year={2020},
        month={1},
        keywords={Frequency-capacity Logistics Transportation Waste collection IoT},
        doi={10.1007/978-3-030-38822-5_8}
    }
    
  • José Silva
    André Oliveira
    Ana Martins
    João Ferreira
    Year: 2020
    Optimize Capacity for a Uniform Waste Transportation Collection
    INTSYS
    Springer
    DOI: 10.1007/978-3-030-38822-5_8
José Silva1,*, André Oliveira1,*, Ana Martins2,*, João Ferreira,*
  • 1: Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR-IUL
  • 2: Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL)
*Contact email: jtbpc@iscte-iul.pt, afmao@iscte-iul.pt, almartins@iscte-iul.pt, jcafa@iscte-iul.pt

Abstract

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.

Keywords
Frequency-capacity Logistics Transportation Waste collection IoT
Published
2020-01-10
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-38822-5_8
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