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The automatic green light project - vehicular traffic optimization via velocity advice

 
: Goralczyk, M.; Pontow, J.; Radusch, I.; Häusler, F.

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Volltext (PDF; )

Michahelles, F.:
First International Conference on the Internet of Things 2008. Adjunct Proceedings : Internet of Things 08, Zurich, Switzerland, March 26-28, 2008
Zurich, 2008
S.54-59
International Conference on the Internet of Things (IOT) <1, 2008, Zurich>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()

Abstract
Car rides through inner cities are characterized by frequent changes of driving speed resulting in high fuel consumption and CO2 emission. This paper presents two approaches, which result in car rides through congested urban areas with a reduced amount of acceleration by calculating adaptive speed advices. Hence, we describe a system partly running on a GPSenabled smartphone in the car. Thereby, the smartphone collects GPS data and gives speed advices. We show that the driver who adopts the velocity advices will drive with much more constant speed while reaching his or her destination location in the same time. The first approach tries to identify traffic lights and advices optimal speed to hit no red traffic light. The second approach tries to forecast traffic flow conditions and advices the best speed for the actual situation. Both approaches are able to give useful speed advices to the driver.

: http://publica.fraunhofer.de/dokumente/N-94851.html