---
_id: '12817'
abstract:
- lang: eng
text: Sub-optimal control policies in intersection traffic signal controllers (TSC)
contribute to congestion and lead to negative effects on human health and the
environment. Reinforcement learning (RL) for traffic signal control is a promising
approach to design better control policies and has attracted considerable research
interest in recent years. However, most work done in this area used simplified
simulation environments of traffic scenarios to train RL-based TSC. To deploy
RL in real-world traffic systems, the gap between simplified simulation environments
and real-world applications has to be closed. Therefore, we propose LemgoRL, a
benchmark tool to train RL agents as TSC in a realistic simulation environment
of Lemgo, a medium-sized town in Germany. In addition to the realistic simulation
model, LemgoRL encompasses a traffic signal logic unit that ensures compliance
with all regulatory and safety requirements. LemgoRL offers the same interface
as the well-known OpenAI gym toolkit to enable easy deployment in existing research
work. To demonstrate the functionality and applicability of LemgoRL, we train
a state-of-the-art Deep RL algorithm on a CPU cluster utilizing a framework for
distributed and parallel RL and compare its performance with other methods. Our
benchmark tool drives the development of RL algorithms towards real-world applications.
author:
- first_name: Arthur
full_name: Müller, Arthur
last_name: Müller
- first_name: Vishal
full_name: Rangras, Vishal
id: '76044'
last_name: Rangras
- first_name: Tobias
full_name: Ferfers, Tobias
last_name: Ferfers
- first_name: Florian
full_name: Hufen, Florian
last_name: Hufen
- first_name: Lukas
full_name: Schreckenberg, Lukas
last_name: Schreckenberg
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
- first_name: Georg
full_name: Schnittker, Georg
last_name: Schnittker
- first_name: Michael
full_name: Waldmann, Michael
last_name: Waldmann
- first_name: Maxim
full_name: Friesen, Maxim
id: '61517'
last_name: Friesen
- first_name: Marco
full_name: Wiering, Marco
last_name: Wiering
citation:
ama: Müller A, Rangras V, Ferfers T, et al. Towards Real-World Deployment of
Reinforcement Learning for Traffic Signal Control. (Wani MA, Sethi I, Shi
W, et al., eds.). IEEE; 2022:507-514. doi:10.1109/icmla52953.2021.00085
apa: Müller, A., Rangras, V., Ferfers, T., Hufen, F., Schreckenberg, L., Jasperneite,
J., Schnittker, G., Waldmann, M., Friesen, M., & Wiering, M. (2022). Towards
Real-World Deployment of Reinforcement Learning for Traffic Signal Control. In
M. A. Wani, I. Sethi, W. Shi, G. Qu, D. Stan Raicu, R. Jin, IEEE ICMLA , &
Institute of Electrical and Electronics Engineers (Eds.), 20th IEEE International
Conference on Machine Learning and Applications (ICMLA) (pp. 507–514). IEEE.
https://doi.org/10.1109/icmla52953.2021.00085
bjps: 'Müller A et al. (2022) Towards Real-World Deployment of
Reinforcement Learning for Traffic Signal Control, Wani MA et al. (eds). [Piscataway,
NJ]: IEEE.'
chicago: 'Müller, Arthur, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg,
Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, and Marco
Wiering. Towards Real-World Deployment of Reinforcement Learning for Traffic
Signal Control. Edited by M. Arif Wani, Ishwar Sethi, Weisong Shi, Guangzhi Qu,
Daniela Stan Raicu, Ruoming Jin, IEEE ICMLA , and Institute of Electrical and
Electronics Engineers. 20th IEEE International Conference on Machine Learning
and Applications (ICMLA). [Piscataway, NJ]: IEEE, 2022. https://doi.org/10.1109/icmla52953.2021.00085.'
chicago-de: 'Müller, Arthur, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas
Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen
und Marco Wiering. 2022. Towards Real-World Deployment of Reinforcement Learning
for Traffic Signal Control. Hg. von M. Arif Wani, Ishwar Sethi, Weisong Shi,
Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin, IEEE ICMLA , und Institute of
Electrical and Electronics Engineers. 20th IEEE International Conference on
Machine Learning and Applications (ICMLA). [Piscataway, NJ]: IEEE. doi:10.1109/icmla52953.2021.00085,
.'
din1505-2-1: 'Müller,
Arthur ; Rangras, Vishal
; Ferfers, Tobias ; Hufen,
Florian ; Schreckenberg, Lukas
; Jasperneite, Jürgen ; Schnittker,
Georg ; Waldmann, Michael
; u. a. ; Wani, M. A. ; Sethi, I. ;
Shi, W. ; Qu, G. ; Stan Raicu, D. ; Jin,
R. ; IEEE ICMLA ; Institute of Electrical and Electronics Engineers
(Hrsg.): Towards Real-World Deployment of Reinforcement Learning for Traffic
Signal Control. [Piscataway, NJ] : IEEE, 2022'
havard: A. Müller, V. Rangras, T. Ferfers, F. Hufen, L. Schreckenberg, J. Jasperneite,
G. Schnittker, M. Waldmann, M. Friesen, M. Wiering, Towards Real-World Deployment
of Reinforcement Learning for Traffic Signal Control, IEEE, [Piscataway, NJ],
2022.
ieee: 'A. Müller et al., Towards Real-World Deployment of Reinforcement
Learning for Traffic Signal Control. [Piscataway, NJ]: IEEE, 2022, pp. 507–514.
doi: 10.1109/icmla52953.2021.00085.'
mla: Müller, Arthur, et al. “Towards Real-World Deployment of Reinforcement Learning
for Traffic Signal Control.” 20th IEEE International Conference on Machine
Learning and Applications (ICMLA), edited by M. Arif Wani et al., IEEE, 2022,
pp. 507–14, https://doi.org/10.1109/icmla52953.2021.00085.
short: A. Müller, V. Rangras, T. Ferfers, F. Hufen, L. Schreckenberg, J. Jasperneite,
G. Schnittker, M. Waldmann, M. Friesen, M. Wiering, Towards Real-World Deployment
of Reinforcement Learning for Traffic Signal Control, IEEE, [Piscataway, NJ],
2022.
ufg: 'Müller, Arthur u. a.: Towards Real-World Deployment of Reinforcement
Learning for Traffic Signal Control, hg. von Wani, M. Arif u. a., [Piscataway,
NJ] 2022.'
van: 'Müller A, Rangras V, Ferfers T, Hufen F, Schreckenberg L, Jasperneite J, et
al. Towards Real-World Deployment of Reinforcement Learning for Traffic Signal
Control. Wani MA, Sethi I, Shi W, Qu G, Stan Raicu D, Jin R, et al., editors.
20th IEEE International Conference on Machine Learning and Applications (ICMLA).
[Piscataway, NJ]: IEEE; 2022.'
conference:
end_date: 2021-12-16
location: Online
name: 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
start_date: 2021-12-13
corporate_editor:
- ' IEEE ICMLA '
- Institute of Electrical and Electronics Engineers
date_created: 2025-04-17T08:45:40Z
date_updated: 2025-06-26T13:28:21Z
department:
- _id: DEP5023
doi: 10.1109/icmla52953.2021.00085
editor:
- first_name: 'M. Arif '
full_name: 'Wani, M. Arif '
last_name: Wani
- first_name: 'Ishwar '
full_name: 'Sethi, Ishwar '
last_name: Sethi
- first_name: Weisong
full_name: ' Shi, Weisong'
last_name: ' Shi'
- first_name: 'Guangzhi '
full_name: 'Qu, Guangzhi '
last_name: Qu
- first_name: 'Daniela '
full_name: 'Stan Raicu, Daniela '
last_name: Stan Raicu
- first_name: 'Ruoming '
full_name: 'Jin, Ruoming '
last_name: Jin
keyword:
- deep reinforcement learning
- traffic signal control
- intelligent transportation system
- traffic simulation
language:
- iso: eng
page: 507-514
place: '[Piscataway, NJ]'
publication: 20th IEEE International Conference on Machine Learning and Applications
(ICMLA)
publication_identifier:
isbn:
- 978-1-6654-4337-1
publication_status: published
publisher: IEEE
status: public
title: Towards Real-World Deployment of Reinforcement Learning for Traffic Signal
Control
type: conference_editor_article
user_id: '83781'
year: '2022'
...
---
_id: '11803'
abstract:
- lang: eng
text: Sub-optimal control policies in intersection traffic signal controllers (TSC)
contribute to congestion and lead to negative effects on human health and the
environment. Reinforcement learning (RL) for traffic signal control is a promising
approach to design better control policies and has attracted considerable research
interest in recent years. However, most work done in this area used simplified
simulation environments of traffic scenarios to train RL-based TSC. To deploy
RL in real-world traffic systems, the gap between simplified simulation environments
and real-world applications has to be closed. Therefore, we propose LemgoRL, a
benchmark tool to train RL agents as TSC in a realistic simulation environment
of Lemgo, a medium-sized town in Germany. In addition to the realistic simulation
model, LemgoRL encompasses a traffic signal logic unit that ensures compliance
with all regulatory and safety requirements. LemgoRL offers the same interface
as the well-known OpenAI gym toolkit to enable easy deployment in existing research
work. To demonstrate the functionality and applicability of LemgoRL, we train
a state-of-the-art Deep RL algorithm on a CPU cluster utilizing a framework for
distributed and parallel RL and compare its performance with other methods. Our
benchmark tool drives the development of RL algorithms towards real-world applications.
author:
- first_name: Arthur
full_name: Müller, Arthur
last_name: Müller
- first_name: Vishal
full_name: Rangras, Vishal
id: '76044'
last_name: Rangras
- first_name: Georg
full_name: Schnittker, Georg
last_name: Schnittker
- first_name: Michael
full_name: Waldmann, Michael
last_name: Waldmann
- first_name: Maxim
full_name: Friesen, Maxim
id: '61517'
last_name: Friesen
- first_name: Tobias
full_name: Ferfers, Tobias
last_name: Ferfers
- first_name: Lukas
full_name: Schreckenberg, Lukas
last_name: Schreckenberg
- first_name: Florian
full_name: Hufen, Florian
last_name: Hufen
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
- first_name: Marco
full_name: Wiering, Marco
last_name: Wiering
citation:
ama: Müller A, Rangras V, Schnittker G, et al. Towards Real-World Deployment
of Reinforcement Learning for Traffic Signal Control. (Wani MA, IEEE ICMLA, Institute
of Electrical and Electronics Engineers, eds.). IEEE; 2021. doi:10.1109/ICMLA52953.2021.00085
apa: Müller, A., Rangras, V., Schnittker, G., Waldmann, M., Friesen, M., Ferfers,
T., Schreckenberg, L., Hufen, F., Jasperneite, J., & Wiering, M. (2021). Towards
Real-World Deployment of Reinforcement Learning for Traffic Signal Control. In
M. A. Wani, IEEE ICMLA, & Institute of Electrical and Electronics Engineers
(Eds.), 20th IEEE International Conference on Machine Learning and Applications
(ICMLA). IEEE. https://doi.org/10.1109/ICMLA52953.2021.00085
bjps: 'Müller A et al. (2021) Towards Real-World Deployment of
Reinforcement Learning for Traffic Signal Control, Wani MA, IEEE ICMLA,
and Institute of Electrical and Electronics Engineers (eds). Piscataway, NJ:
IEEE.'
chicago: 'Müller, Arthur, Vishal Rangras, Georg Schnittker, Michael Waldmann, Maxim
Friesen, Tobias Ferfers, Lukas Schreckenberg, Florian Hufen, Jürgen Jasperneite,
and Marco Wiering. Towards Real-World Deployment of Reinforcement Learning
for Traffic Signal Control. Edited by M. Arif Wani, IEEE ICMLA, and Institute
of Electrical and Electronics Engineers. 20th IEEE International Conference
on Machine Learning and Applications (ICMLA). Piscataway, NJ: IEEE, 2021.
https://doi.org/10.1109/ICMLA52953.2021.00085.'
chicago-de: 'Müller, Arthur, Vishal Rangras, Georg Schnittker, Michael Waldmann,
Maxim Friesen, Tobias Ferfers, Lukas Schreckenberg, Florian Hufen, Jürgen Jasperneite
und Marco Wiering. 2021. Towards Real-World Deployment of Reinforcement Learning
for Traffic Signal Control. Hg. von M. Arif Wani, IEEE ICMLA, und Institute
of Electrical and Electronics Engineers. 20th IEEE International Conference
on Machine Learning and Applications (ICMLA). Piscataway, NJ: IEEE. doi:10.1109/ICMLA52953.2021.00085,
.'
din1505-2-1: 'Müller,
Arthur ; Rangras, Vishal
; Schnittker, Georg ; Waldmann,
Michael ; Friesen, Maxim
; Ferfers, Tobias ; Schreckenberg,
Lukas ; Hufen, Florian ;
u. a. ; Wani, M. A. ; IEEE ICMLA ;
Institute of Electrical and Electronics Engineers (Hrsg.): Towards Real-World
Deployment of Reinforcement Learning for Traffic Signal Control. Piscataway,
NJ : IEEE, 2021'
havard: A. Müller, V. Rangras, G. Schnittker, M. Waldmann, M. Friesen, T. Ferfers,
L. Schreckenberg, F. Hufen, J. Jasperneite, M. Wiering, Towards Real-World Deployment
of Reinforcement Learning for Traffic Signal Control, IEEE, Piscataway, NJ, 2021.
ieee: 'A. Müller et al., Towards Real-World Deployment of Reinforcement
Learning for Traffic Signal Control. Piscataway, NJ: IEEE, 2021. doi: 10.1109/ICMLA52953.2021.00085.'
mla: Müller, Arthur, et al. “Towards Real-World Deployment of Reinforcement Learning
for Traffic Signal Control.” 20th IEEE International Conference on Machine
Learning and Applications (ICMLA), edited by M. Arif Wani et al., IEEE, 2021,
https://doi.org/10.1109/ICMLA52953.2021.00085.
short: A. Müller, V. Rangras, G. Schnittker, M. Waldmann, M. Friesen, T. Ferfers,
L. Schreckenberg, F. Hufen, J. Jasperneite, M. Wiering, Towards Real-World Deployment
of Reinforcement Learning for Traffic Signal Control, IEEE, Piscataway, NJ, 2021.
ufg: 'Müller, Arthur u. a.: Towards Real-World Deployment of Reinforcement
Learning for Traffic Signal Control, hg. von Wani, M. Arif/ IEEE ICMLA, Institute
of Electrical and Electronics Engineers, Piscataway, NJ 2021.'
van: 'Müller A, Rangras V, Schnittker G, Waldmann M, Friesen M, Ferfers T, et al.
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control.
Wani MA, IEEE ICMLA, Institute of Electrical and Electronics Engineers, editors.
20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Piscataway, NJ: IEEE; 2021.'
conference:
end_date: 2021-12-16
location: 'Pasadena, CA, USA '
name: 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
start_date: 2021-12-13
corporate_editor:
- ' IEEE ICMLA'
- ' Institute of Electrical and Electronics Engineers'
date_created: 2024-07-30T05:54:40Z
date_updated: 2024-07-30T07:45:47Z
department:
- _id: DEP5000
- _id: DEP5019
- _id: DEP5020
- _id: DEP6020
doi: 10.1109/ICMLA52953.2021.00085
editor:
- first_name: M. Arif
full_name: Wani, M. Arif
last_name: Wani
external_id:
arxiv:
- arXiv:2103.16223
keyword:
- deep reinforcement learning
- traffic signal control
- intelligent transportation system
- traffic simulation
language:
- iso: eng
place: Piscataway, NJ
publication: 20th IEEE International Conference on Machine Learning and Applications
(ICMLA)
publication_identifier:
eisbn:
- '9781665443371'
publication_status: published
publisher: IEEE
status: public
title: Towards Real-World Deployment of Reinforcement Learning for Traffic Signal
Control
type: conference_editor_article
user_id: '83781'
year: '2021'
...
---
_id: '11145'
abstract:
- lang: eng
text: "Die vertikale und horizontale Integration von Automatisierungssystemen bilden
das Funda-\r\nment zukünftiger Automatisierungsstrukturen im Sinne von Industrie
4.0. Das bedeutet, dass\r\ndie Kommunikation der Systemkomponenten nicht, wie
bisher, auf bestimmte Bereiche be-\r\nschränkt, sondern bereichsübergreifend innerhalb
eines Unternehmens und sogar über des-\r\nsen Grenzen hinweg stattfinden wird.
Die damit einhergehende Problematik ist zum einen\r\ndie fehlende Interoperabilität,
und zum anderen die Angreifbarkeit dieser offenen Netzwerke\r\ndurch mangelnde
IT-Sicherheit. Einen wesentlichen Faktor für die Gewährleistung der In-\r\nteroperabilität
stellen sogenannte Middleware-Protokolle dar. Eine Middleware liefert einen\r\nSoftware-
und Hardware-unabhängigen Kommunikationsansatz [1]. Verschiedene Middle-\r\nware-Lösungen
verwenden dabei unterschiedliche Ansätze, um eine vertrauenswürdige\r\nKommunikation
sicherzustellen. Eine parallele Nutzung verschiedener Middleware-Lösungen\r\nist
in vielen Fällen nicht zu vermeiden, da unterschiedliche Lieferanten Komponenten
mit\r\nunterschiedlichen Protokollen in Anlagen liefern werden. Die parallele
Nutzung verschiede-\r\nner Protokolle impliziert einen höheren organisatorischen
Aufwand bezüglich der IT-\r\nSicherheit. In diesem Beitrag werden die Middleware-Protokolle
DDS, MQTT und OPC UA\r\ninsbesondere in Bezug auf ihre IT-sicherheitsrelevanten
Eigenschaften vorgestellt. Auf die-\r\nser Grundlage und einer Analyse von IT-Sicherheitsanforderungen
der Industrie, wird zu-\r\nnächst ein Ansatz für eine einheitliche Sicherheitsinfrastruktur
auf Basis einer Public-Key-\r\nInfrastruktur für alle drei Protokolle konzipiert.
Diese wird durch Attributzertifikate als zusätz-\r\nliche Autorisierungskomponente
erweitert und evaluiert."
author:
- first_name: S.
full_name: Tebbje, S.
last_name: Tebbje
- first_name: K.-H.
full_name: Niemann, K.-H.
last_name: Niemann
- first_name: Maxim
full_name: Friesen, Maxim
id: '61517'
last_name: Friesen
- first_name: Gajasri
full_name: Karthikeyan, Gajasri
last_name: Karthikeyan
- first_name: Stefan
full_name: Heiss, Stefan
id: '1031'
last_name: Heiss
- first_name: L.
full_name: Jänicke, L.
last_name: Jänicke
- first_name: C.
full_name: Meyer, C.
last_name: Meyer
- first_name: Henning
full_name: Trsek, Henning
id: '1486'
last_name: Trsek
orcid: 0000-0002-0133-0656
citation:
ama: 'Tebbje S, Niemann KH, Friesen M, et al. Entwicklung einer IT-Sicherheitsinfrastruktur
für verteilte Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen
in eine durch Attributzertifikate erweiterte, PKI. In: Automation 2019 : 20.
Leitkongress der Mess- und Automatisierungstechnik : autonomous systems and 5G
in connected industries . Vol 2351. VDI-Berichte. VDI Verlag GmbH; 2019:505-516.
doi:10.51202/9783181023518-505'
apa: 'Tebbje, S., Niemann, K.-H., Friesen, M., Karthikeyan, G., Heiss, S., Jänicke,
L., Meyer, C., & Trsek, H. (2019). Entwicklung einer IT-Sicherheitsinfrastruktur
für verteilte Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen
in eine durch Attributzertifikate erweiterte, PKI. Automation 2019 : 20. Leitkongress
der Mess- und Automatisierungstechnik : autonomous systems and 5G in connected
industries , 2351, 505–516. https://doi.org/10.51202/9783181023518-505'
bjps: 'Tebbje S et al. (2019) Entwicklung einer IT-Sicherheitsinfrastruktur
für verteilte Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen
in eine durch Attributzertifikate erweiterte, PKI. Automation 2019 : 20. Leitkongress
der Mess- und Automatisierungstechnik : autonomous systems and 5G in connected
industries , vol. 2351. Düsseldorf: VDI Verlag GmbH, pp. 505–516.'
chicago: 'Tebbje, S., K.-H. Niemann, Maxim Friesen, Gajasri Karthikeyan, Stefan
Heiss, L. Jänicke, C. Meyer, and Henning Trsek. “Entwicklung einer IT-Sicherheitsinfrastruktur
für verteilte Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen
in eine durch Attributzertifikate erweiterte, PKI.” In Automation 2019 : 20.
Leitkongress der Mess- und Automatisierungstechnik : autonomous systems and 5G
in connected industries , 2351:505–16. VDI-Berichte. Düsseldorf: VDI Verlag
GmbH, 2019. https://doi.org/10.51202/9783181023518-505.'
chicago-de: 'Tebbje, S., K.-H. Niemann, Maxim Friesen, Gajasri Karthikeyan, Stefan
Heiss, L. Jänicke, C. Meyer und Henning Trsek. 2019. Entwicklung einer IT-Sicherheitsinfrastruktur
für verteilte Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen
in eine durch Attributzertifikate erweiterte, PKI. In: Automation 2019 : 20.
Leitkongress der Mess- und Automatisierungstechnik : autonomous systems and 5G
in connected industries , 2351:505–516. VDI-Berichte. Düsseldorf: VDI Verlag
GmbH. doi:10.51202/9783181023518-505,
.'
din1505-2-1: 'Tebbje, S. ; Niemann,
K.-H. ; Friesen, Maxim ;
Karthikeyan, Gajasri ; Heiss,
Stefan ; Jänicke, L. ; Meyer, C. ; Trsek,
Henning: Entwicklung einer IT-Sicherheitsinfrastruktur für verteilte Automatisierungssysteme
- Integraton verschiedener Middleware- Lösungen in eine durch Attributzertifikate
erweiterte, PKI. In: Automation 2019 : 20. Leitkongress der Mess- und Automatisierungstechnik :
autonomous systems and 5G in connected industries , VDI-Berichte. Bd.
2351. Düsseldorf : VDI Verlag GmbH, 2019, S. 505–516'
havard: 'S. Tebbje, K.-H. Niemann, M. Friesen, G. Karthikeyan, S. Heiss, L. Jänicke,
C. Meyer, H. Trsek, Entwicklung einer IT-Sicherheitsinfrastruktur für verteilte
Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen in eine
durch Attributzertifikate erweiterte, PKI, in: Automation 2019 : 20. Leitkongress
der Mess- und Automatisierungstechnik : autonomous systems and 5G in connected
industries , VDI Verlag GmbH, Düsseldorf, 2019: pp. 505–516.'
ieee: 'S. Tebbje et al., “Entwicklung einer IT-Sicherheitsinfrastruktur für
verteilte Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen
in eine durch Attributzertifikate erweiterte, PKI,” in Automation 2019 : 20.
Leitkongress der Mess- und Automatisierungstechnik : autonomous systems and 5G
in connected industries , Baden-Baden, 2019, vol. 2351, pp. 505–516. doi:
10.51202/9783181023518-505.'
mla: 'Tebbje, S., et al. “Entwicklung einer IT-Sicherheitsinfrastruktur für verteilte
Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen in eine
durch Attributzertifikate erweiterte, PKI.” Automation 2019 : 20. Leitkongress
der Mess- und Automatisierungstechnik : autonomous systems and 5G in connected
industries , vol. 2351, VDI Verlag GmbH, 2019, pp. 505–16, https://doi.org/10.51202/9783181023518-505.'
short: 'S. Tebbje, K.-H. Niemann, M. Friesen, G. Karthikeyan, S. Heiss, L. Jänicke,
C. Meyer, H. Trsek, in: Automation 2019 : 20. Leitkongress der Mess- und Automatisierungstechnik :
autonomous systems and 5G in connected industries , VDI Verlag GmbH, Düsseldorf,
2019, pp. 505–516.'
ufg: 'Tebbje, S. u. a.: Entwicklung einer IT-Sicherheitsinfrastruktur für
verteilte Automatisierungssysteme - Integraton verschiedener Middleware- Lösungen
in eine durch Attributzertifikate erweiterte, PKI, in: o. Hg.: Automation 2019 :
20. Leitkongress der Mess- und Automatisierungstechnik : autonomous systems and
5G in connected industries , Bd. 2351, Düsseldorf 2019 (VDI-Berichte), S. 505–516.'
van: 'Tebbje S, Niemann KH, Friesen M, Karthikeyan G, Heiss S, Jänicke L, et al.
Entwicklung einer IT-Sicherheitsinfrastruktur für verteilte Automatisierungssysteme
- Integraton verschiedener Middleware- Lösungen in eine durch Attributzertifikate
erweiterte, PKI. In: Automation 2019 : 20 Leitkongress der Mess- und Automatisierungstechnik :
autonomous systems and 5G in connected industries . Düsseldorf: VDI Verlag GmbH;
2019. p. 505–16. (VDI-Berichte; vol. 2351).'
conference:
end_date: 2019-07-03
location: Baden-Baden
name: 'Automation 2019 : 20. Leitkongress der Mess- und Automatisierungstechnik
: autonomous systems and 5G in connected industries '
start_date: 2019-07-02
date_created: 2024-03-01T08:30:33Z
date_updated: 2024-03-11T15:33:45Z
department:
- _id: DEP5023
doi: 10.51202/9783181023518-505
intvolume: ' 2351'
language:
- iso: ger
page: 505-516
place: Düsseldorf
publication: 'Automation 2019 : 20. Leitkongress der Mess- und Automatisierungstechnik
: autonomous systems and 5G in connected industries '
publication_identifier:
eisbn:
- 978-3-18-102351-8
isbn:
- 978-3-18-092351-2
publication_status: published
publisher: VDI Verlag GmbH
series_title: VDI-Berichte
status: public
title: Entwicklung einer IT-Sicherheitsinfrastruktur für verteilte Automatisierungssysteme
- Integraton verschiedener Middleware- Lösungen in eine durch Attributzertifikate
erweiterte, PKI
type: conference
user_id: '83781'
volume: 2351
year: '2019'
...
---
_id: '4841'
author:
- first_name: Mohammad
full_name: Elattar, Mohammad
id: '58263'
last_name: Elattar
- first_name: Maxim
full_name: Friesen, Maxim
id: '61517'
last_name: Friesen
- first_name: Dominik
full_name: Henneke, Dominik
id: '52007'
last_name: Henneke
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
citation:
ama: 'Elattar M, Friesen M, Henneke D, Jasperneite J. Reliability-oriented Multipath
Communication for Internet-based Cyber-physical Systems. In: ; 2018.'
apa: Elattar, M., Friesen, M., Henneke, D., & Jasperneite, J. (2018). Reliability-oriented
Multipath Communication for Internet-based Cyber-physical Systems. Presented at
the 14th IEEE International Workshop on Factory Communication Systems, Imperia,
Italy.
bjps: Elattar M et al. (2018) Reliability-Oriented Multipath Communication
for Internet-Based Cyber-Physical Systems.
chicago: Elattar, Mohammad, Maxim Friesen, Dominik Henneke, and Jürgen Jasperneite.
“Reliability-Oriented Multipath Communication for Internet-Based Cyber-Physical
Systems,” 2018.
chicago-de: 'Elattar, Mohammad, Maxim Friesen, Dominik Henneke und Jürgen Jasperneite.
2018. Reliability-oriented Multipath Communication for Internet-based Cyber-physical
Systems. In: .'
din1505-2-1: 'Elattar, Mohammad ;
Friesen, Maxim ; Henneke,
Dominik ; Jasperneite, Jürgen:
Reliability-oriented Multipath Communication for Internet-based Cyber-physical
Systems. In: , 2018'
havard: 'M. Elattar, M. Friesen, D. Henneke, J. Jasperneite, Reliability-oriented
Multipath Communication for Internet-based Cyber-physical Systems, in: 2018.'
ieee: M. Elattar, M. Friesen, D. Henneke, and J. Jasperneite, “Reliability-oriented
Multipath Communication for Internet-based Cyber-physical Systems,” presented
at the 14th IEEE International Workshop on Factory Communication Systems, Imperia,
Italy, 2018.
mla: Elattar, Mohammad, et al. Reliability-Oriented Multipath Communication for
Internet-Based Cyber-Physical Systems. 2018.
short: 'M. Elattar, M. Friesen, D. Henneke, J. Jasperneite, in: 2018.'
ufg: 'Elattar, Mohammad et. al. (2018): Reliability-oriented Multipath Communication
for Internet-based Cyber-physical Systems, in: .'
van: Elattar M, Friesen M, Henneke D, Jasperneite J. Reliability-oriented Multipath
Communication for Internet-based Cyber-physical Systems. In 2018.
conference:
location: Imperia, Italy
name: 14th IEEE International Workshop on Factory Communication Systems
date_created: 2021-02-02T12:41:24Z
date_updated: 2023-03-15T13:49:56Z
department:
- _id: DEP5023
- _id: DEP5019
language:
- iso: eng
status: public
title: Reliability-oriented Multipath Communication for Internet-based Cyber-physical
Systems
type: conference
user_id: '45673'
year: 2018
...
---
_id: '4842'
author:
- first_name: Dorota
full_name: Lang, Dorota
id: '49801'
last_name: Lang
- first_name: Maxim
full_name: Friesen, Maxim
id: '61517'
last_name: Friesen
- first_name: Marco
full_name: Ehrlich, Marco
id: '61562'
last_name: Ehrlich
- first_name: Lukasz
full_name: Wisniewski, Lukasz
id: '1710'
last_name: Wisniewski
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
citation:
ama: 'Lang D, Friesen M, Ehrlich M, Wisniewski L, Jasperneite J. Pursuing the Vision
of Industrie 4.0: Secure Plug and Produce by Means of the Asset Administration
Shell and Blockchain Technology. In: ; 2018.'
apa: 'Lang, D., Friesen, M., Ehrlich, M., Wisniewski, L., & Jasperneite, J.
(2018). Pursuing the Vision of Industrie 4.0: Secure Plug and Produce by Means
of the Asset Administration Shell and Blockchain Technology. Presented at the
16th IEEE International Conference on Industrial Informatics, INDIN 2018 , Porto,
Portugal.'
bjps: 'Lang D et al. (2018) Pursuing the Vision of Industrie 4.0:
Secure Plug and Produce by Means of the Asset Administration Shell and Blockchain
Technology.'
chicago: 'Lang, Dorota, Maxim Friesen, Marco Ehrlich, Lukasz Wisniewski, and Jürgen
Jasperneite. “Pursuing the Vision of Industrie 4.0: Secure Plug and Produce by
Means of the Asset Administration Shell and Blockchain Technology,” 2018.'
chicago-de: 'Lang, Dorota, Maxim Friesen, Marco Ehrlich, Lukasz Wisniewski und Jürgen
Jasperneite. 2018. Pursuing the Vision of Industrie 4.0: Secure Plug and Produce
by Means of the Asset Administration Shell and Blockchain Technology. In: .'
din1505-2-1: 'Lang, Dorota ; Friesen, Maxim ; Ehrlich,
Marco ; Wisniewski, Lukasz
; Jasperneite, Jürgen: Pursuing
the Vision of Industrie 4.0: Secure Plug and Produce by Means of the Asset Administration
Shell and Blockchain Technology. In: , 2018'
havard: 'D. Lang, M. Friesen, M. Ehrlich, L. Wisniewski, J. Jasperneite, Pursuing
the Vision of Industrie 4.0: Secure Plug and Produce by Means of the Asset Administration
Shell and Blockchain Technology, in: 2018.'
ieee: 'D. Lang, M. Friesen, M. Ehrlich, L. Wisniewski, and J. Jasperneite, “Pursuing
the Vision of Industrie 4.0: Secure Plug and Produce by Means of the Asset Administration
Shell and Blockchain Technology,” presented at the 16th IEEE International Conference
on Industrial Informatics, INDIN 2018 , Porto, Portugal, 2018.'
mla: 'Lang, Dorota, et al. Pursuing the Vision of Industrie 4.0: Secure Plug
and Produce by Means of the Asset Administration Shell and Blockchain Technology.
2018.'
short: 'D. Lang, M. Friesen, M. Ehrlich, L. Wisniewski, J. Jasperneite, in: 2018.'
ufg: 'Lang, Dorota et. al. (2018): Pursuing the Vision of Industrie 4.0:
Secure Plug and Produce by Means of the Asset Administration Shell and Blockchain
Technology, in: .'
van: 'Lang D, Friesen M, Ehrlich M, Wisniewski L, Jasperneite J. Pursuing the Vision
of Industrie 4.0: Secure Plug and Produce by Means of the Asset Administration
Shell and Blockchain Technology. In 2018.'
conference:
location: Porto, Portugal
name: '16th IEEE International Conference on Industrial Informatics, INDIN 2018 '
date_created: 2021-02-02T12:44:50Z
date_updated: 2023-03-15T13:49:56Z
department:
- _id: DEP5023
- _id: DEP5019
language:
- iso: eng
status: public
title: 'Pursuing the Vision of Industrie 4.0: Secure Plug and Produce by Means of
the Asset Administration Shell and Blockchain Technology'
type: conference
user_id: '45673'
year: 2018
...