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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Municipal Waste Collection Of Large Items Optimized With ArcGis Network Analyst |
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Authors: |
Nikolaos V. Karadimas, Maria Kolokathi, Gerasimoula Defteraiou, Vassili Loumos |
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Published in:
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ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
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Citation
format: |
Karadimas, N. V., Kolokathi,
M., Defteraiou, G., & Loumos,
V. (2007). Municipal Waste Collection Of Large Items Optimized With ArcGis Network Analyst. ECMS 2007 Proceedings edited by:
I. Zelinka, Z. Oplatkova,
A. Orsoni (pp. 80-85).
European Council for Modeling and Simulation. doi:10.7148/2007-0080. |
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DOI: |
http://dx.doi.org/10.7148/2007-0080 |
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Abstract: |
In
the present paper the ArcGIS Network Analyst
Algorithm is introduced for best routing identification applied in municipal
waste collection of large items. The proposed application takes into account
all the required parameters for the waste collection of large items so as its
desktop users to be able to model realistic network conditions and scenarios.
In this case, the simulation consists of scenarios of visiting loading spots
in the municipality of Athens, in order to collect large items that couldn’t
be collected by the standard waste collection trucks, due to size and other
prohibitive obstacles. The Network Analyst is used to estimate interrelations
between the dynamic factors, like network traffic changes (closed roads due
to natural or technical causes, for example, fallen trees, car accidents,
etc) in the area under study and to produce optimized solutions. The user is
able to define or modify all the required dynamic factors for the creation of
an initial scenario, and by modifying these particular parameters,
alternative scenarios can be generated leading to several solutions. Finally,
the optimal solution is identified by a function that takes into
consideration various parameters, for example the shortest distance, road
network as well as social and environmental implications. |
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