Reducing gas emissions in smart cities by using the red swarm architecture

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093032" target="_blank" >RIV/61989100:27240/14:86093032 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-40643-0_30" target="_blank" >http://dx.doi.org/10.1007/978-3-642-40643-0_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-40643-0_30" target="_blank" >10.1007/978-3-642-40643-0_30</a>

Result language
angličtina
Original language name
Reducing gas emissions in smart cities by using the red swarm architecture
Original language description
The aim of the work presented here is to reduce gas emissions in modern cities by creating a light infrastructure of WiFi intelligent spots informing drivers of customized, real-time routes to their destinations. The reduction of gas emissions is an important aspect of smart cities, since it directly affects the health of citizens as well as the environmental impact of road traffic. We have built a real scenario of the city of Malaga (Spain) by using OpenStreetMap (OSM) and the SUMO road traffic microsimulator, and solved it by using an efficient new Evolutionary Algorithm (EA). Thus, we are dealing with a real city (not just a roundabout, as found in the literature) and we can therefore measure the emissions of cars in movement according to traffic regulations (real human scenarios). Our results suggest an important reduction in gas emissions (10%) and travel times (9%) is possible when vehicles are rerouted by using the Red Swarm architecture. Our approach is even competitive with hu
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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