Eco-friendly reduction of travel times in European smart cities

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Eco-friendly reduction of travel times in European smart cities

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Eco-friendly reduction of travel times in European smart cities

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference

ISBN

978-1-4503-2662-9

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1207-1214

Název nakladatele

ACM

Místo vydání

New York

Místo konání akce

Vancouver

Datum konání akce

12. 7. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000364333000151