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| − | |Abstract=In recent years, autonomic and organic computing have become areas of active research in the informatics community. Both initiatives aim at | + | |Abstract=In recent years, autonomic and organic computing have become |
| − | handling the growing complexity in technical systems by focusing on adaptation and self-optimisation capabilities. A promising application for organic concepts is the control of road traffic signals in urban areas. This article presents an organic approach to traffic light control in urban areas that exhibits | + | areas of active research in the informatics community. Both initiatives aim at |
| − | adaptation and learning capabilities, allowing traffic lights to autonomously react on changing traffic conditions. A coordination mechanism for | + | handling the growing complexity in technical systems by focusing on |
| − | neighbouring traffic lights is presented that relies solely on locally available traffic data and communication among neighbouring intersections, resulting in a distributed and self-organising traffic system for urban areas. The organic system's efficiency is demonstrated in a simulation-based evaluation. | + | adaptation and self-optimisation capabilities. A promising application for |
| + | organic concepts is the control of road traffic signals in urban areas. This article | ||
| + | presents an organic approach to traffic light control in urban areas that exhibits | ||
| + | adaptation and learning capabilities, allowing traffic lights to autonomously | ||
| + | react on changing traffic conditions. A coordination mechanism for | ||
| + | neighbouring traffic lights is presented that relies solely on locally available | ||
| + | traffic data and communication among neighbouring intersections, resulting in | ||
| + | a distributed and self-organising traffic system for urban areas. The organic | ||
| + | system's efficiency is demonstrated in a simulation-based evaluation. | ||
| + | |VG Wort-Seiten= | ||
|DOI Name=10.1504/IJAACS.2009.026783 | |DOI Name=10.1504/IJAACS.2009.026783 | ||
| − | |Projekt=OTC, | + | |Projekt=OTC, xQNxHDRh3, |
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{{Forschungsgebiet Auswahl | {{Forschungsgebiet Auswahl | ||
|Forschungsgebiet=Organic Computing | |Forschungsgebiet=Organic Computing | ||
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Version vom 8. September 2009, 10:42 Uhr
Organic traffic light control for urban road networks
Organic traffic light control for urban road networks
Veröffentlicht: 2009
Journal: International Journal of Autonomous and Adaptive Communications Systems
Nummer: 3
Seiten: 203-225
Volume: 2
Referierte Veröffentlichung
Kurzfassung
In recent years, autonomic and organic computing have become
areas of active research in the informatics community. Both initiatives aim at
handling the growing complexity in technical systems by focusing on
adaptation and self-optimisation capabilities. A promising application for
organic concepts is the control of road traffic signals in urban areas. This article
presents an organic approach to traffic light control in urban areas that exhibits
adaptation and learning capabilities, allowing traffic lights to autonomously
react on changing traffic conditions. A coordination mechanism for
neighbouring traffic lights is presented that relies solely on locally available
traffic data and communication among neighbouring intersections, resulting in
a distributed and self-organising traffic system for urban areas. The organic
system's efficiency is demonstrated in a simulation-based evaluation.
DOI Link: 10.1504/IJAACS.2009.026783