Multi parameter routing in air polluted urban areas

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi parameter routing in air polluted urban areas

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multi parameter routing in air polluted urban areas

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

2020 Smart City Symposium Prague (SCSP)

ISBN

978-1-7281-6821-0

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE Industrial Electronic Society

Místo vydání

Vienna

Místo konání akce

Prague

Datum konání akce

25. 6. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000590471100003