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{{Inproceedings
 
{{Inproceedings
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|Title=Organic Control of Traffic Lights
 
|Title=Organic Control of Traffic Lights
 
|Year=2008
 
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|Month=Juni
 
|Booktitle=Proceedings of the 5th International Conference on Autonomic and Trusted Computing (ATC-08)
 
|Booktitle=Proceedings of the 5th International Conference on Autonomic and Trusted Computing (ATC-08)
 
|Editor=Chunming Rong, Martin Gilje Jaatun, Frode Eika Sandnes, Laurence T. Yang, and Jianhua Ma
 
|Editor=Chunming Rong, Martin Gilje Jaatun, Frode Eika Sandnes, Laurence T. Yang, and Jianhua Ma
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{{Publikation Details
 
{{Publikation Details
|Abstract=In recent years, Autonomic and Organic Computing have become areas of active research in the computer science community. Both initiatives aim at handling the growing complexity in technical systems by creating systems with adaptation and self-optimisation capabilities. One application scenario for such "life-like" systems is the control of road traffic signals in urban areas. This paper presents an organic approach to traffic light control and analyses its performance by an experimental validation of the proposed architecture which demonstrates its benefits compared to classical traffic control.
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|Abstract=In recent years, Autonomic and Organic Computing have become areas of active research in the computer science community. Both initiatives aim at handling the growing complexity in technical systems by creating systems with adaptation and self-optimisation capabilities. One application scenario for such "life-like" systems is the control of road traffic signals in urban areas. This paper presents an organic approach to traffic light control and analyses its performance by an experimental validation of the proposed architecture which demonstrates its benefits compared to classical traffic control.
|VG Wort-Seiten=
 
 
|Link=http://dx.doi.org/10.1007/978-3-540-69295-9_19
 
|Link=http://dx.doi.org/10.1007/978-3-540-69295-9_19
 
|DOI Name=10.1007/978-3-540-69295-9_19
 
|DOI Name=10.1007/978-3-540-69295-9_19
|Forschungsgebiet=Organic Computing,  
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|Projekt=OTC,OTC2,  
|Projekt=XUGwolhs5, OTC,
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|Forschungsgruppe=Effiziente Algorithmen
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Organic Computing
 
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ATC 2008 Best Paper Award

Aktuelle Version vom 11. September 2009, 14:55 Uhr


Organic Control of Traffic Lights


Organic Control of Traffic Lights



Published: 2008 Juni
Herausgeber: Chunming Rong, Martin Gilje Jaatun, Frode Eika Sandnes, Laurence T. Yang, and Jianhua Ma
Buchtitel: Proceedings of the 5th International Conference on Autonomic and Trusted Computing (ATC-08)
Ausgabe: 5060
Reihe: LNCS
Seiten: 219--233
Verlag: Springer

Referierte Veröffentlichung

BibTeX

Kurzfassung
In recent years, Autonomic and Organic Computing have become areas of active research in the computer science community. Both initiatives aim at handling the growing complexity in technical systems by creating systems with adaptation and self-optimisation capabilities. One application scenario for such "life-like" systems is the control of road traffic signals in urban areas. This paper presents an organic approach to traffic light control and analyses its performance by an experimental validation of the proposed architecture which demonstrates its benefits compared to classical traffic control.

Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-540-69295-9_19

Projekt

OTCOTC2



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet

Organic Computing


ATC 2008 Best Paper Award