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 and Polin, Dmitrij and Baran, Hikmet and Scheer, Julian T. and Khanh, Tran Quoc (2018):
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, Paris, 9.-10. Okotber 2018, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Singer, Timo and Polin, Dmitrij and Baran, Hikmet and Scheer, Julian T. and Khanh, Tran Quoc
Title: Influence of New Signal Lamps for Automated Vehicles on Other Road Users – Can Virtual Reality be Used to Investigate the Behaviour of Pedestrians?
Language: English
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.

Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design
18 Department of Electrical Engineering and Information Technology > Institute for Electromechanical Design > Light Technology
Event Title: VISION 2018, Vehicle and Infrastructure Safety Improvement in Adverse Conditions and Night Driving
Event Location: Paris
Event Dates: 9.-10. Okotber 2018
Date Deposited: 20 Dec 2018 11:01
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