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Modeling Driving Behavior at Roundabouts: Impact of Roundabout Layout and Surrounding Traffic on Driving Behavior

Zhao, Min und Käthner, David und Söffker, Dirk und Jipp, Meike und Lemmer, Karsten (2017) Modeling Driving Behavior at Roundabouts: Impact of Roundabout Layout and Surrounding Traffic on Driving Behavior. Workshop "Kognitive Systeme", 2017, München.

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Kurzfassung

Driving behavior prediction at roundabouts is an important challenge to improve driving safety by supporting drivers with intelligent assistance systems. To predict the driving behavior effciently steering wheel status was proven to have robust predictability based on a Support Vector Machine algorithm. Previous research has not considered potential effects of roundabout layout and surrounding traffic on driving behavior, but that consideration can certainly improve the prediction results. Therefore, this study investigated how roundabout layout and surrounding traffic impact driving behavior of an ego car. A simulator study was conducted to collect driving behavior data with different roundabout layout settings and different surrounding cyclist position settings. The local minima/maxima of the steering angle was found to have a logarithmic relationship with the roundabout geometric feature. The impact of the surrounding traffic on the ego driver behavior was also found: When there were surrounding cyclists, the recognition rate of ego driver behavior patterns reached 100% later than when there was no surrounding traffic. In conclusion, driving behavior at roundabouts is effected by both roundabout layout and surrounding traffic, and the relationship can be expressed in a quantitative way.

elib-URL des Eintrags:https://elib.dlr.de/111995/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Modeling Driving Behavior at Roundabouts: Impact of Roundabout Layout and Surrounding Traffic on Driving Behavior
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Zhao, Minmin.zhao (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Käthner, Daviddavid.kaethner (at) dlr.dehttps://orcid.org/0000-0003-4168-2266NICHT SPEZIFIZIERT
Söffker, Dirksoeffker (at) uni-due.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Jipp, Meikemeike.jipp (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Lemmer, KarstenKarsten.Lemmer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2017
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:driver modelling; roundabouts; probalistic driver models; machine learning
Veranstaltungstitel:Workshop "Kognitive Systeme"
Veranstaltungsort:München
Veranstaltungsart:Workshop
Veranstaltungsdatum:2017
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Bodengebundener Verkehr (alt)
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V BF - Bodengebundene Fahrzeuge
DLR - Teilgebiet (Projekt, Vorhaben):V - Fahrzeugintelligenz (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik
Hinterlegt von: Käthner, David
Hinterlegt am:02 Mai 2017 10:50
Letzte Änderung:24 Apr 2024 20:16

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