@article{CollPeralesSchulteTiggesRondinoneetal.2022,
  author    = {Coll-Perales, Baldomero and Schulte-Tigges, Joschua and Rondinone, Michele and Gozalvez, Javier and Reke, Michael and Matheis, Dominik and Walter, Thomas},
  title     = {Prototyping and evaluation of infrastructure-assisted transition of control for cooperative automated vehicles},
  series = {IEEE Transactions on Intelligent Transportation Systems},
  volume    = {23},
  journal   = {IEEE Transactions on Intelligent Transportation Systems},
  number    = {7},
  publisher = {IEEE},
  issn      = {1524-9050 (Print)},
  doi       = {10.1109/TITS.2021.3061085},
  pages     = {6720 -- 6736},
  year      = {2022},
  abstract  = {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.},
  language  = {en}
}
@inproceedings{LosseGehrkeUllrichetal.2022,
  author    = {Losse, Ann-Kathrin and Gehrke, Melanie and Ullrich, Andr{\´e} and Czarnecki, Christian and Sultanow, Eldar and Breithaupt, Carsten and Koch, Christian},
  title     = {Entwicklung einer Open-Data-Referenzarchitektur f{\"u}r die Luftfahrtindustrie},
  series = {INFORMATIK 2022 - Informatik in den Naturwissenschaften, Proceedings},
  booktitle = {INFORMATIK 2022 - Informatik in den Naturwissenschaften, Proceedings},
  publisher = {GI - Gesellschaft f{\"u}r Informatik},
  address   = {Bonn},
  isbn      = {978-3-88579-720-3},
  issn      = {1617-5468},
  doi       = {10.18420/inf2022_103},
  pages     = {1203 -- 1209},
  year      = {2022},
  abstract  = {Open Data impliziert die freie Zug{\"a}nglichkeit, Verf{\"u}gbarkeit und Wiederverwendbarkeit von Datens{\"a}tzen. Obwohl hochwertige Datens{\"a}tze {\"o}ffentlich verf{\"u}gbar sind, ist der Zugang zu diesen und die Transparenz {\"u}ber die Formate nicht immer gegeben. Dies mindert die optimale Nutzung des Potenzials zur Wertsch{\"o}pfung, trotz der vorherrschenden Einigkeit {\"u}ber ihre Chancen. Denn Open Data erm{\"o}glicht das Vorantreiben von Compliance-Themen wie Transparenz und Rechenschaftspflicht bis hin zur F{\"o}rderung 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 f{\"u}r Open Data in der Luftfahrtindustrie an einem Beispiel entwickelt.},
  language  = {de}
}