Title |
Swarm-Based Smart City Platform: A Traffic Application |
ID_Doc |
39970 |
Authors |
Chamoso, P; de la Prieta, F |
Title |
Swarm-Based Smart City Platform: A Traffic Application |
Year |
2015 |
Published |
Adcaij-Advances In Distributed Computing And Artificial Intelligence Journal, 4, 2 |
DOI |
10.14201/ADCAIJ2015428998 |
Abstract |
Smart cities are proposed as a medium-term option for all cities. This article aims to propose an architecture that allows cities to provide solutions to interconnect all their elements. The study case focuses in locating and optimized regulation of traffic in cities. However, thanks to the pro-posed structure and the applied algorithms, the architecture is scalable in size of the sensor net-work, in functionality or even in the use of resources. A simulation environment that is able to show the operation of the architecture in the same way that a real city would, is presented. |
Author Keywords |
Agents; Swarm Intelligence; Locating System; Smart Cities |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Emerging Sources Citation Index (ESCI) |
EID |
WOS:000422599900006 |
WoS Category |
Computer Science, Artificial Intelligence |
Research Area |
Computer Science |
PDF |
https://revistas.usal.es/cinco/index.php/2255-2863/article/download/ADCAIJ2015428998/15311
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