Multi parameter routing in air polluted urban areas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00348929" target="_blank" >RIV/68407700:21260/20:00348929 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SCSP49987.2020.9133887" target="_blank" >https://doi.org/10.1109/SCSP49987.2020.9133887</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP49987.2020.9133887" target="_blank" >10.1109/SCSP49987.2020.9133887</a>
Alternative languages
Result language
angličtina
Original language name
Multi parameter routing in air polluted urban areas
Original language description
Current route planners on smart phones or special routing devices try to minimize the traveling time. But many users are no longer interested in the shortest route in time but they prefer a healthier route. In many smart cities there is a centralized distributed network of sensors measuring the pollution in a city on different locations for different time of the day. In this paper we present a routing App computing the less polluted route along the streets using the measurement of the eco sensors. The council of a smart city takes care of the health of their citizens. The developed routing App enables travelers with lung diseases to choose a healthy route. The routing algorithm is based on a special variant of the well-known Ant Based Control routing algorithm. To combine data measuring pollution and shortest traveling time, we solved a special multi- parameter problem. In some experiments we performed a user test of the routing App on different time and location.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 Smart City Symposium Prague (SCSP)
ISBN
978-1-7281-6821-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Industrial Electronic Society
Place of publication
Vienna
Event location
Prague
Event date
Jun 25, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000590471100003