Eco-friendly reduction of travel times in European smart cities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093029" target="_blank" >RIV/61989100:27240/14:86093029 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2576768.2598317" target="_blank" >http://dx.doi.org/10.1145/2576768.2598317</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2576768.2598317" target="_blank" >10.1145/2576768.2598317</a>
Alternative languages
Result language
angličtina
Original language name
Eco-friendly reduction of travel times in European smart cities
Original language description
This article proposes an innovative solution for reducing polluting gas emissions from road traffic in modern cities. It is based on our new Red Swarm architecture which is composed of a series of intelligent spots with WiFi connections that can suggest a customized route to drivers. We have tested our proposal in four different case studies corresponding to actual European smart cities. To this end, we first import the city information from OpenStreetMap into the SUMO road traffic micro-simulator, propose a Red Swarm architecture based on intelligent spots located at traffic lights, and then optimize the resulting system in terms of travel times and gas emissions by using an evolutionary algorithm. Our results show that an important quantitative reduction in gas emissions as well as in travel times can be achieved when vehicles are rerouted according to our Red Swarm indications. This represents a promising result for the low cost implementation of an idea that could engage the interest of both citizens and municipal authorities. 2014 ACM.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference
ISBN
978-1-4503-2662-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1207-1214
Publisher name
ACM
Place of publication
New York
Event location
Vancouver
Event date
Jul 12, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000364333000151