Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts

Andreas Keler, Patrick Malcolm, Georgios Grigoropoulos, Seyed Abdollah Hosseini, Heather Kaths, Fritz Busch and Klaus Bogenberger
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Andreas Keler: Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany
Patrick Malcolm: Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany
Georgios Grigoropoulos: Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany
Seyed Abdollah Hosseini: INVER-Ingenieurbüro für Verkehrsanlagen GmbH, 99084 Erfurt, Germany
Heather Kaths: Department of Bicycle Traffic Planning, University of Wuppertal, 42119 Wuppertal, Germany
Fritz Busch: Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany
Klaus Bogenberger: Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany

Sustainability, 2021, vol. 13, issue 15, 1-15

Abstract: Detailed specifications of urban traffic from different perspectives and scales are crucial for understanding and predicting traffic situations from the view of an autonomous vehicle (AV). We suggest a data-driven specification scheme for maneuvers at different design elements of the built infrastructure and focus on urban roundabouts in Germany. Based on real observations, we define classes of maneuvers, interactions and driving strategies for cyclists, pedestrians and motorized vehicles and define a matrix for merging different maneuvers, resulting in more complex interactions. The sequences of these interactions, which partially consist of explicit communications, are extracted from real observations and adapted into microscopic traffic flow simulations. The simulated maneuver sequences are then visualized in 3D environments and experienced by bicycle simulator test subjects. Using trajectory segments (in fictional space) from two conducted simulator studies, we relate the recorded movement patterns of test subjects with observed cyclists in reality.

Keywords: roundabouts; vulnerable road users (VRUs); bicycle simulator; autonomous driving; scenario specification; VR environments (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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