Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119727" target="_blank" >RIV/00216305:26220/16:PU119727 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7574016" target="_blank" >https://ieeexplore.ieee.org/document/7574016</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CSNDSP.2016.7574016" target="_blank" >10.1109/CSNDSP.2016.7574016</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

Popis výsledku v původním jazyce

The Internet of Things (IoT), as expected infrastructure for envisioned concept of Smart City, brings new possibilities for the city management. IoT vision introduces promising and economical solutions for massive data collection and its analysis which can be applied in many domains and so make them operating more efficiently. In this paper, we are discussing one of the most challenging issues - municipal waste-collection within the Smart City. To optimize the logistic procedure of waste collection, we use own genetic algorithm implementation. The presented solution provides calculation of more efficient garbage-truck routes. As an output, we provide a set of simulations focused on mentioned area. All our algorithms are implemented within the integrated simulation framework which is developed as an open source solution with respect to future modifications.

Název v anglickém jazyce

Using Genetic Algorithm for Advanced Municipal Waste Collection in Smart City

Popis výsledku anglicky

The Internet of Things (IoT), as expected infrastructure for envisioned concept of Smart City, brings new possibilities for the city management. IoT vision introduces promising and economical solutions for massive data collection and its analysis which can be applied in many domains and so make them operating more efficiently. In this paper, we are discussing one of the most challenging issues - municipal waste-collection within the Smart City. To optimize the logistic procedure of waste collection, we use own genetic algorithm implementation. The presented solution provides calculation of more efficient garbage-truck routes. As an output, we provide a set of simulations focused on mentioned area. All our algorithms are implemented within the integrated simulation framework which is developed as an open source solution with respect to future modifications.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016

ISBN

978-1-5090-2525-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Prague

Datum konání akce

20. 7. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000386781300120