TY  - JOUR
A1  - Coll-Perales, Baldomero
A1  - Schulte-Tigges, Joschua
A1  - Rondinone, Michele
A1  - Gozalvez, Javier
A1  - Reke, Michael
A1  - Matheis, Dominik
A1  - Walter, Thomas
T1  - Prototyping and evaluation of infrastructure-assisted transition of control for cooperative automated vehicles
JF  - IEEE Transactions on Intelligent Transportation Systems
N2  - Automated driving is now possible in diverse road and traffic conditions. However, there are still situations that automated vehicles cannot handle safely and efficiently. In this case, a Transition of Control (ToC) is necessary so that the driver takes control of the driving. Executing a ToC requires the driver to get full situation awareness of the driving environment. If the driver fails to get back the control in a limited time, a Minimum Risk Maneuver (MRM) is executed to bring the vehicle into a safe state (e.g., decelerating to full stop). The execution of ToCs requires some time and can cause traffic disruption and safety risks that increase if several vehicles execute ToCs/MRMs at similar times and in the same area. This study proposes to use novel C-ITS traffic management measures where the infrastructure exploits V2X communications to assist Connected and Automated Vehicles (CAVs) in the execution of ToCs. The infrastructure can suggest a spatial distribution of ToCs, and inform vehicles of the locations where they could execute a safe stop in case of MRM. This paper reports the first field operational tests that validate the feasibility and quantify the benefits of the proposed infrastructure-assisted ToC and MRM management. The paper also presents the CAV and roadside infrastructure prototypes implemented and used in the trials. The conducted field trials demonstrate that infrastructure-assisted traffic management solutions can reduce safety risks and traffic disruptions.
KW  - Automated driving
KW  - automated vehicles
KW  - connected automated vehicles
KW  - CAV
KW  - experimental evaluation
Y1  - 2021
U6  - https://doi.org/10.1109/TITS.2021.3061085
SN  - 1524-9050 (Print)
SN  - 1558-0016 (Online)
VL  - 23
IS  - 7
SP  - 6720
EP  - 6736
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Losse, Ann-Kathrin
A1  - Gehrke, Melanie
A1  - Ullrich, André
A1  - Czarnecki, Christian
A1  - Sultanow, Eldar
A1  - Breithaupt, Carsten
A1  - Koch, Christian
T1  - Entwicklung einer Open-Data-Referenzarchitektur für die Luftfahrtindustrie
T2  - INFORMATIK 2022 - Informatik in den Naturwissenschaften, Proceedings
N2  - Open Data impliziert die freie Zugänglichkeit, Verfügbarkeit und Wiederverwendbarkeit von Datensätzen. Obwohl hochwertige Datensätze öffentlich verfügbar sind, ist der Zugang zu diesen und die Transparenz über die Formate nicht immer gegeben. Dies mindert die optimale Nutzung des Potenzials zur Wertschöpfung, trotz der vorherrschenden Einigkeit über ihre Chancen. Denn Open Data ermöglicht das Vorantreiben von Compliance-Themen wie Transparenz und Rechenschaftspflicht bis hin zur Förderung von Innovationen. Die Nutzung von Open Data erfordert Mut und eine gemeinsame Anstrengung verschiedener Akteure und Branchen. Im Rahmen des vorliegenden Beitrags werden auf Grundlage des Design Science-Ansatzes eine Open Data Capability Map sowie darauf aufbauend eine Datenarchitektur für Open Data in der Luftfahrtindustrie an einem Beispiel entwickelt.
Y1  - 2022
SN  - 978-3-88579-720-3
U6  - https://doi.org/10.18420/inf2022_103
SN  - 1617-5468
N1  - INFORMATIK 2022, 26. - 30. September 2022, Hamburg
SP  - 1203
EP  - 1209
PB  - GI - Gesellschaft für Informatik
CY  - Bonn
ER  -