|
Descripción
|
|
|---|---|
| "Tra?c monitoring is a key issue to develop smarter and more sustainable cities in the future, allowing to make a better use of the" "public space and reducing pollution. This work presents an aerial swarm that continuously monitors the tra?c in SwarmCity, a simu- lated city developed in Unity game engine where drones and cars are modeled in a realistic way. The control algorithm of the aerial swarm is based on six behaviors with twenty-three parameters that must be tuned. The optimization of parameters is carried out with a genetic algorithm in a simpli?ed and faster simulator. The best resulting con?gurations are tested in SwarmCity showing good e?cien- cies in terms of observed cars over total cars during time windows. The algorithm reaches a good performance making use of an acceptable computational time for the optimization." | |
|
Internacional
|
Si |
|
JCR del ISI
|
Si |
|
Título de la revista
|
Cognitive Systems Research |
|
ISSN
|
1389-0417 |
|
Factor de impacto JCR
|
1,425 |
|
Información de impacto
|
Datos JCR del año 2017 |
|
Volumen
|
54 |
|
DOI
|
10.1016/j.cogsys.2018.10.031 |
|
Número de revista
|
|
|
Desde la página
|
273 |
|
Hasta la página
|
286 |
|
Mes
|
SIN MES |
|
Ranking
|
|