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@PHDTHESIS{Mokhtarian:998907,
author = {Mokhtarian, Armin},
othercontributors = {Kowalewski, Stefan and Flemisch, Frank O. and Alrifaee,
Bassam},
title = {{CPM} remote: a remote access to a scaled experimental
testbed for connected and automated vehicles},
volume = {2024,04},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University, Department of Computer Science},
reportid = {RWTH-2024-11727},
series = {Aachener Informatik-Berichte (AIB)},
pages = {1 Online-Ressource : Illustrationen},
year = {2024},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2025. - Weitere Reihe: Technical report /
Department of Computer Science; Dissertation, RWTH Aachen
University, 2024},
abstract = {Small-scale testbeds are used in research and development
to provide a controlled setting for testing new concepts.
They are affordable and can be duplicated, making them
useful for both education and research purposes. To address
the limitations of small-scale testbeds, particularly their
accessibility, we introduce CPM Remote, a web-based platform
that provides real-time access to the Cyber-Physical
Mobility (CPM) Lab, a scaled testbed at RWTH Aachen
University. This innovative approach eliminates the need for
users to travel, purchase, or reconstruct physical testbeds.
CPM Remote incorporates a built-in editor, a simulation
environment, and a real-time interface to the CPM Lab,
extending accessibility to a global audience. Users have the
flexibility to conduct their own experiments or choose from
two ready-to-use applications, enabling them to actively
engage with the field of connected and automated vehicles
(CAVs). The educational application, CPM Academy, offers
students an immersive learning experience by presenting a
package delivery service scenario to develop algorithms
within the context of CAVs. For research purposes, we
introduce CPM Olympics, an annual competition that offers
participants real-world scenarios to benchmark their motion
planning algorithms. In our evaluation of the platform and
its applications, we carried out multiple user studies and a
technology acceptance analysis to pinpoint potential areas
for enhancement. The feedback from each study was considered
during the development of CPM Remote to enhance its feature
set and usability. Based on the successfully conducted
iterations of the CPM Academy and CPM Olympics, we
demonstrate how CPM Remote bridges the gap between
simulations and costly real-world tests, democratizing
access to experimental research infrastructure.},
cin = {122810 / 120000},
ddc = {004},
cid = {$I:(DE-82)122810_20140620$ / $I:(DE-82)120000_20140620$},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2024-11727},
url = {https://publications.rwth-aachen.de/record/998907},
}
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