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Comparison of safety and kinematic patterns of automated vehicles turning left in interaction with oncoming manually driven vehicles

Junghans, Marek und Krauns, Florian und Sonka, Adrian und Böhm, Michael und Dotzauer, Mandy (2021) Comparison of safety and kinematic patterns of automated vehicles turning left in interaction with oncoming manually driven vehicles. 33rd Conference International Co-operation on Theories and Concepts in Traffic safety (ICTCT), 2021-10-28 - 2021-10-29, online.

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Kurzfassung

Highly and fully automated driving has been under development for the past two decades in order to increase comfort, efficiency, and traffic safety. Particularly in the latter domain, experts agree on automated driving, especially in case of automated vehicles (AV) with SAE level 4 or higher, having the most promising effects. Automated driving is expected to decrease the number of seriously injured or even killed road usersto zero (Vision Zero). However, automated driving is still in an early stage of development and many AV tend to drive very carefully to avoid crashes. So, the goal is to make driving more efficient while maintaining the highest level of safety. In the project Digitaler Knoten 4.0 cooperative automated driving was assessed regarding efficiency and safety aspects. One of the use cases investigated was turning left with oncoming traffic at an urban intersection as this situation represents one of the most complex situations in urban areas yielding to crashes with—in many cases—serious consequences for the involved road users. At the Application Platform Intelligent Mobility (AIM) Research Intersection in Braunschweig, Germany, an SAE level 3 AV was turning left interacting with oncoming manually driven vehicles (MV). The performance of the AV was compared to MV executing the same manoeuvre. The recorded video-based trajectories of the respective AV as well as MV were analysed regarding the influence of situational factors (e.g. position of the vehicle in the queue and gap acceptance) and kinematic factors (e.g. speed and acceleration) on traffic safety. The similarities and differences between this specific AV and MV were identified yielding insight for further developing algorithms for more efficient driving while maintaining the same traffic safety level. For instance, it appears that the AV shows a very conservative left turning behaviour leading to very safe PET distributions in comparison to left turning MV.

elib-URL des Eintrags:https://elib.dlr.de/147912/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Comparison of safety and kinematic patterns of automated vehicles turning left in interaction with oncoming manually driven vehicles
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Junghans, MarekMarek.Junghans (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Krauns, FlorianVolkswagen AGNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Sonka, AdrianTU BraunschweigNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Böhm, MichaelMichael.Boehm (at) dlr.dehttps://orcid.org/0009-0006-1485-1051NICHT SPEZIFIZIERT
Dotzauer, MandyMandy.Dotzauer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:29 Oktober 2021
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:automated driving; traffic safety; road user behaviour; conditionally tolerable left turn, trajectory data analysis
Veranstaltungstitel:33rd Conference International Co-operation on Theories and Concepts in Traffic safety (ICTCT)
Veranstaltungsort:online
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:28 Oktober 2021
Veranstaltungsende:29 Oktober 2021
Veranstalter :ICTCT/ DLR-TS
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Straßenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V ST Straßenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - NGC KoFiF (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Informationsflussmodellierung in Mobilitätssystemen, BA
Institut für Verkehrssystemtechnik > Kooperative Systeme, BA
Institut für Verkehrssystemtechnik > Design & Bewertung von Mobilitätslösungen, BA
Hinterlegt von: Böhm, Dr Michael
Hinterlegt am:07 Jan 2022 08:35
Letzte Änderung:24 Apr 2024 20:46

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