Article1999: Unterschied zwischen den Versionen
K (Added from ontology) |
K (Added from ontology) |
||
| Zeile 1: | Zeile 1: | ||
{{Publikation Author | {{Publikation Author | ||
| − | |Rank= | + | |Rank=4 |
| − | |Author= | + | |Author=Sven Tomforde |
}} | }} | ||
{{Publikation Author | {{Publikation Author | ||
| − | |Rank= | + | |Rank=5 |
| − | |Author= | + | |Author=Fabian Rochner |
}} | }} | ||
{{Publikation Author | {{Publikation Author | ||
| − | |Rank= | + | |Rank=2 |
| − | |Author= | + | |Author=Jürgen Branke |
}} | }} | ||
{{Publikation Author | {{Publikation Author | ||
| Zeile 16: | Zeile 16: | ||
}} | }} | ||
{{Publikation Author | {{Publikation Author | ||
| − | |Rank= | + | |Rank=6 |
| − | |Author= | + | |Author=Jörg Hähner |
}} | }} | ||
{{Publikation Author | {{Publikation Author | ||
| − | |Rank= | + | |Rank=3 |
| − | |Author= | + | |Author=Hartmut Schmeck |
}} | }} | ||
{{Publikation Author | {{Publikation Author | ||
| − | |Rank= | + | |Rank=1 |
| − | |Author= | + | |Author=Holger Prothmann |
}} | }} | ||
{{Article | {{Article | ||
| Zeile 51: | Zeile 51: | ||
|VG Wort-Seiten= | |VG Wort-Seiten= | ||
|DOI Name=10.1504/IJAACS.2009.026783 | |DOI Name=10.1504/IJAACS.2009.026783 | ||
| − | |Projekt= | + | |Projekt=OTC, TZDHZytb3, |
|Forschungsgruppe= | |Forschungsgruppe= | ||
}} | }} | ||
Version vom 15. August 2009, 22:16 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