Inproceedings1489: Unterschied zwischen den Versionen
K (Added from ontology) |
Hpr (Diskussion | Beiträge) |
||
| Zeile 15: | Zeile 15: | ||
|Title=Actuated traffic signal optimisation using evolutionary algorithms | |Title=Actuated traffic signal optimisation using evolutionary algorithms | ||
|Year=2007 | |Year=2007 | ||
| + | |Month=Juni | ||
|Booktitle=Proceedings of the 6th European Congress and Exhibition on Intelligent Transport Systems and Services (ITS07) | |Booktitle=Proceedings of the 6th European Congress and Exhibition on Intelligent Transport Systems and Services (ITS07) | ||
|Publisher=ERTICO - ITS Europe | |Publisher=ERTICO - ITS Europe | ||
}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
| − | | | + | |Abstract=The optimization of traffic signal systems is an important step towards successful traffic |
| − | + | control, since delays in urban road networks depend largely on the signal system's | |
| − | |Projekt=OTC, | + | performance. Due to their adaptivity, traffic-actuated signal controllers are widely used in |
| − | |Forschungsgruppe= | + | traffic systems around the globe. However, their performance largely depends on the choice of |
| + | appropriate control parameters. Here, we describe the application of NSGA-II, a multiobjective | ||
| + | evolutionary algorithm, to the optimization of a traffic-actuated controller. Results | ||
| + | show that parameters found by NSGA-II can be superior to those defined by a traffic engineer | ||
| + | with respect to several objectives, including the resulting travel times and the necessary | ||
| + | number of stops. | ||
| + | |Projekt=OTC,otc2 | ||
| + | |Forschungsgruppe=Effiziente Algorithmen | ||
}} | }} | ||
Version vom 11. September 2009, 15:02 Uhr
Actuated traffic signal optimisation using evolutionary algorithms
Actuated traffic signal optimisation using evolutionary algorithms
Published: 2007
Juni
Buchtitel: Proceedings of the 6th European Congress and Exhibition on Intelligent Transport Systems and Services (ITS07)
Verlag: ERTICO - ITS Europe
Referierte Veröffentlichung
BibTeX
Kurzfassung
The optimization of traffic signal systems is an important step towards successful traffic
control, since delays in urban road networks depend largely on the signal system's
performance. Due to their adaptivity, traffic-actuated signal controllers are widely used in
traffic systems around the globe. However, their performance largely depends on the choice of
appropriate control parameters. Here, we describe the application of NSGA-II, a multiobjective
evolutionary algorithm, to the optimization of a traffic-actuated controller. Results
show that parameters found by NSGA-II can be superior to those defined by a traffic engineer
with respect to several objectives, including the resulting travel times and the necessary
number of stops.