Connected Traffic of Vulnerable Bicyclists and Automated Vehicles

Title

Connected Traffic of Vulnerable Bicyclists and Automated Vehicles: Deep Learning Trajectory Generation for Realistic Simulated Bicycle Intersection Crossings

 Author

Schmidt, C.M. (TU Delft Biomechatronics & Human-Machine Control) ORCID 0000-0002-9405-6384
Moore, J.K. (TU Delft Biomechatronics & Human-Machine Control) ORCID 0000-0002-8698-6143
Dabiri, A. (TU Delft Team Azita Dabiri) ORCID 0000-0002-1296-7580
Happee, R. (TU Delft Intelligent Vehicles) ORCID 0000-0001-5878-3472
Schulte, F. (TU Delft Transport Engineering and Logistics) ORCID 0000-0003-3159-4393

 Date

2023

 Subject

Microscopic Traffic Simulation
Cycling safety
Cyclist behaviour
Connected bicycles
SUMO
Trajectory prediction

 To reference this document use:

http://resolver.tudelft.nl/uuid:77d1435a-f7dc-4ad3-a12e-3bbc2ba60038

 Event

SUMO User Conference 2023, 2023-05-02 → 2023-05-04, German Aerospace Center (DLR), Institute of Transportation Systems, Berlin, Germany

 Part of collection

Institutional Repository

 Document type

poster

 Rights

© 2023 C.M. Schmidt, J.K. Moore, A. Dabiri, R. Happee, F. Schulte
Files
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