Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093018" target="_blank" >RIV/61989100:27240/14:86093018 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.asoc.2014.07.014" target="_blank" >http://dx.doi.org/10.1016/j.asoc.2014.07.014</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.asoc.2014.07.014" target="_blank" >10.1016/j.asoc.2014.07.014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms

Popis výsledku v původním jazyce

This article presents an innovative approach to solve one of the most relevant problems related to smart mobility: the reduction of vehicles' travel time. Our original approach, called Red Swarm, suggests a potentially customized route to each vehicle byusing several spots located at traffic lights in order to avoid traffic jams by using V2I communications. That is quite different from other existing proposals, as it deals with real maps and actual streets, as well as several road traffic distributions. We propose an evolutionary algorithm (later efficiently parallelized) to optimize our case studies which have been imported from OpenStreetMap into SUMO as they belong to a real city. We have also developed a Rerouting Algorithm which accesses the configuration of the Red Swarm and communicates the route chosen to vehicles, using the spots (via WiFi link). Moreover, we have developed three competing algorithms in order to compare their results to those of Red Swarm and have observed th

Název v anglickém jazyce

Red Swarm: Reducing travel times in smart cities by using bio-inspired algorithms

Popis výsledku anglicky

This article presents an innovative approach to solve one of the most relevant problems related to smart mobility: the reduction of vehicles' travel time. Our original approach, called Red Swarm, suggests a potentially customized route to each vehicle byusing several spots located at traffic lights in order to avoid traffic jams by using V2I communications. That is quite different from other existing proposals, as it deals with real maps and actual streets, as well as several road traffic distributions. We propose an evolutionary algorithm (later efficiently parallelized) to optimize our case studies which have been imported from OpenStreetMap into SUMO as they belong to a real city. We have also developed a Rerouting Algorithm which accesses the configuration of the Red Swarm and communicates the route chosen to vehicles, using the spots (via WiFi link). Moreover, we have developed three competing algorithms in order to compare their results to those of Red Swarm and have observed th

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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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 periodika

Applied Soft Computing

ISSN

1568-4946

e-ISSN

—

Svazek periodika

24

Číslo periodika v rámci svazku

Nov

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

181-195

Kód UT WoS článku

000343138500017

EID výsledku v databázi Scopus

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