TU Darmstadt / ULB / TUbiblio

Influence of New Signal Lamps for Automated Vehicles on Other Road Users – Can Virtual Reality be Used to Investigate the Behaviour of Pedestrians?

Singer, Timo ; Polin, Dmitrij ; Baran, Hikmet ; Scheer, Julian T. ; Khanh, Tran Quoc :
Influence of New Signal Lamps for Automated Vehicles on Other Road Users – Can Virtual Reality be Used to Investigate the Behaviour of Pedestrians?
In: VISION 2018, Vehicle and Infrastructure Safety Improvement in Adverse Conditions and Night Driving, 9.-10. Okotber 2018, Paris.
[Konferenz- oder Workshop-Beitrag] , (2018)

Kurzbeschreibung (Abstract)

The Laboratory of Lighting Technology of the TU Darmstadt conducts a study consisting of an encounter situation between a standing automated vehicle (AV) and a pedestrian. The tested subjects assume the role of a pedestrian and are set in a road scene by using a virtual reality headset. The AV is equipped with an additional signalling device (two LED-stripes and two displays) in the front of the car. In total six signals are tested in 19 different variations, where different animation times, the combination of signals and different moving behaviours of the vehicle are tested. The intentions of the signals are to show to a subject, when the vehicle will start to accelerate, give a warning before accelerating and show if the road is free to cross. The moving behaviour of the subjects is recorded and decision times and crossing speeds are determined. Additionally, questionnaires are used to get a subjective rating of the level of realism of the tested scenario and the usefulness of the different lighting signals. The objective parameters like decision time and crossing speed can be compared to similar real test data to validate virtual reality as a new tool for pedestrian behaviour studies in traffic situations. Those parameters are valuable for an objective evaluation of new signal lamps in various scenarios.

Typ des Eintrags: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2018
Autor(en): Singer, Timo ; Polin, Dmitrij ; Baran, Hikmet ; Scheer, Julian T. ; Khanh, Tran Quoc
Titel: Influence of New Signal Lamps for Automated Vehicles on Other Road Users – Can Virtual Reality be Used to Investigate the Behaviour of Pedestrians?
Sprache: Englisch
Kurzbeschreibung (Abstract):

The Laboratory of Lighting Technology of the TU Darmstadt conducts a study consisting of an encounter situation between a standing automated vehicle (AV) and a pedestrian. The tested subjects assume the role of a pedestrian and are set in a road scene by using a virtual reality headset. The AV is equipped with an additional signalling device (two LED-stripes and two displays) in the front of the car. In total six signals are tested in 19 different variations, where different animation times, the combination of signals and different moving behaviours of the vehicle are tested. The intentions of the signals are to show to a subject, when the vehicle will start to accelerate, give a warning before accelerating and show if the road is free to cross. The moving behaviour of the subjects is recorded and decision times and crossing speeds are determined. Additionally, questionnaires are used to get a subjective rating of the level of realism of the tested scenario and the usefulness of the different lighting signals. The objective parameters like decision time and crossing speed can be compared to similar real test data to validate virtual reality as a new tool for pedestrian behaviour studies in traffic situations. Those parameters are valuable for an objective evaluation of new signal lamps in various scenarios.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektromechanische Konstruktionen
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektromechanische Konstruktionen > Lichttechnik
Veranstaltungstitel: VISION 2018, Vehicle and Infrastructure Safety Improvement in Adverse Conditions and Night Driving
Veranstaltungsort: Paris
Veranstaltungsdatum: 9.-10. Okotber 2018
Hinterlegungsdatum: 20 Dez 2018 11:01
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