---
_id: '61492'
abstract:
- lang: eng
  text: "This paper deals with the development and results of a prediction framework
    for traffic light control systems as well as the usage and benefits of such predictions
    in green light optimal speed advisory (GLOSA) scenarios.\r\nVarious machine learning
    methods like support vector machines, neural networks or reinforcement learning
    were evaluated for their applicability in the prediction context and compared
    based on their efficiency and most importantly accuracy. The resulting prediction
    framework uses decision tree ensemble models combined with certain model knowledge
    to forecast different control strategies. This method was chosen due to its best
    performance in various test scenarios. Very high accuracy and fidelity were achieved
    for standard control methods like fixed-time, time-of-day-based and 'ordinary'
    traffic-based programs. Only for the more sophisticated model predictive control
    which was tested lower accuracies were achieved.\r\nFor the upcoming GLOSA application
    the penetration of equipped vehicles was varied for different traffic scenarios
    and control strategies. Results showcase high potentials for enhancing urban mobility
    and reducing environmental impact by lower emissions and waiting times. However,
    it is also clear from the studies presented in this contribution that the coordination
    of the control strategy with the GLOSA vehicles is of enormous importance."
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Malena K, Link C, Gausemeier S, Trächtler A. ML-based Prediction Framework
    for varying Traffic Signal Control Strategies and its GLOSA-application. In: <i>2025
    IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)</i>.
    Vol 28. IEEE.'
  apa: Malena, K., Link, C., Gausemeier, S., &#38; Trächtler, A. (n.d.). ML-based
    Prediction Framework for varying Traffic Signal Control Strategies and its GLOSA-application.
    <i>2025 IEEE 28th International Conference on Intelligent Transportation Systems
    (ITSC)</i>, <i>28</i>.
  bibtex: '@inproceedings{Malena_Link_Gausemeier_Trächtler, title={ML-based Prediction
    Framework for varying Traffic Signal Control Strategies and its GLOSA-application},
    volume={28}, booktitle={2025 IEEE 28th International Conference on Intelligent
    Transportation Systems (ITSC)}, publisher={IEEE}, author={Malena, Kevin and Link,
    Christopher and Gausemeier, Sandra and Trächtler, Ansgar} }'
  chicago: Malena, Kevin, Christopher Link, Sandra Gausemeier, and Ansgar Trächtler.
    “ML-Based Prediction Framework for Varying Traffic Signal Control Strategies and
    Its GLOSA-Application.” In <i>2025 IEEE 28th International Conference on Intelligent
    Transportation Systems (ITSC)</i>, Vol. 28. IEEE, n.d.
  ieee: K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “ML-based Prediction
    Framework for varying Traffic Signal Control Strategies and its GLOSA-application,”
    in <i>2025 IEEE 28th International Conference on Intelligent Transportation Systems
    (ITSC)</i>, Gold Coast (Australia), vol. 28.
  mla: Malena, Kevin, et al. “ML-Based Prediction Framework for Varying Traffic Signal
    Control Strategies and Its GLOSA-Application.” <i>2025 IEEE 28th International
    Conference on Intelligent Transportation Systems (ITSC)</i>, vol. 28, IEEE.
  short: 'K. Malena, C. Link, S. Gausemeier, A. Trächtler, in: 2025 IEEE 28th International
    Conference on Intelligent Transportation Systems (ITSC), IEEE, n.d.'
conference:
  end_date: 2025-11-21
  location: Gold Coast (Australia)
  name: 28th International Conference on Intelligent Transportation Systems (ITSC)
  start_date: 2025-11-18
date_created: 2025-10-01T11:20:34Z
date_updated: 2026-01-26T08:50:37Z
department:
- _id: '153'
intvolume: '        28'
keyword:
- ML
- Prediction
- Tree Ensembles
- GLOSA
language:
- iso: eng
publication: 2025 IEEE 28th International Conference on Intelligent Transportation
  Systems (ITSC)
publication_status: accepted
publisher: IEEE
quality_controlled: '1'
status: public
title: ML-based Prediction Framework for varying Traffic Signal Control Strategies
  and its GLOSA-application
type: conference
user_id: '36303'
volume: 28
year: '2026'
...
---
_id: '59088'
abstract:
- lang: eng
  text: "This paper deals with the implementation and results of the application of
    a multi-stage traffic light control system which includes a simulation-based traffic
    estimation and model predictive control.\r\nThe traffic light control system incorporates
    a fuzzy system for traffic light phase preselection, followed by a model predictive
    control to optimise phase combinations and switching times. Predefined phases
    are selected without restrictions in the order according to a multi-objective
    optimisation to adapt to the traffic as freely as possible. Initially, the system
    is tested in simulations and compared with existing methods and analysed afterwards
    for its effectiveness in a prototype commissioning in field tests. Results indicate
    high potentials for reducing emissions and waiting times, highlighting the system's
    value. However, further refinement is necessary for standard implementation. This
    comprehensive approach demonstrates advancements in traffic management technology,
    showcasing the potential for enhancing urban mobility and reducing environmental
    impact."
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Malena K, Link C, Gausemeier S, Trächtler A. Implementation and Results of
    a Multi-Stage Model Predictive Traffic Light Control System. In: <i>2024 IEEE
    27th International Conference on Intelligent Transportation Systems (ITSC)</i>.
    Vol 27. IEEE; 2025. doi:<a href="https://doi.org/10.1109/itsc58415.2024.10919569">10.1109/itsc58415.2024.10919569</a>'
  apa: Malena, K., Link, C., Gausemeier, S., &#38; Trächtler, A. (2025). Implementation
    and Results of a Multi-Stage Model Predictive Traffic Light Control System. <i>2024
    IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)</i>,
    <i>27</i>. <a href="https://doi.org/10.1109/itsc58415.2024.10919569">https://doi.org/10.1109/itsc58415.2024.10919569</a>
  bibtex: '@inproceedings{Malena_Link_Gausemeier_Trächtler_2025, title={Implementation
    and Results of a Multi-Stage Model Predictive Traffic Light Control System}, volume={27},
    DOI={<a href="https://doi.org/10.1109/itsc58415.2024.10919569">10.1109/itsc58415.2024.10919569</a>},
    booktitle={2024 IEEE 27th International Conference on Intelligent Transportation
    Systems (ITSC)}, publisher={IEEE}, author={Malena, Kevin and Link, Christopher
    and Gausemeier, Sandra and Trächtler, Ansgar}, year={2025} }'
  chicago: Malena, Kevin, Christopher Link, Sandra Gausemeier, and Ansgar Trächtler.
    “Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control
    System.” In <i>2024 IEEE 27th International Conference on Intelligent Transportation
    Systems (ITSC)</i>, Vol. 27. IEEE, 2025. <a href="https://doi.org/10.1109/itsc58415.2024.10919569">https://doi.org/10.1109/itsc58415.2024.10919569</a>.
  ieee: 'K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “Implementation and
    Results of a Multi-Stage Model Predictive Traffic Light Control System,” in <i>2024
    IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)</i>,
    Edmonton (Canada), 2025, vol. 27, doi: <a href="https://doi.org/10.1109/itsc58415.2024.10919569">10.1109/itsc58415.2024.10919569</a>.'
  mla: Malena, Kevin, et al. “Implementation and Results of a Multi-Stage Model Predictive
    Traffic Light Control System.” <i>2024 IEEE 27th International Conference on Intelligent
    Transportation Systems (ITSC)</i>, vol. 27, IEEE, 2025, doi:<a href="https://doi.org/10.1109/itsc58415.2024.10919569">10.1109/itsc58415.2024.10919569</a>.
  short: 'K. Malena, C. Link, S. Gausemeier, A. Trächtler, in: 2024 IEEE 27th International
    Conference on Intelligent Transportation Systems (ITSC), IEEE, 2025.'
conference:
  end_date: 2024-09-27
  location: Edmonton (Canada)
  name: 27th International Conference on Intelligent Transportation Systems (ITSC)
  start_date: 2024-09-24
date_created: 2025-03-24T08:57:08Z
date_updated: 2026-01-26T08:50:46Z
department:
- _id: '153'
doi: 10.1109/itsc58415.2024.10919569
intvolume: '        27'
keyword:
- MPC
language:
- iso: eng
publication: 2024 IEEE 27th International Conference on Intelligent Transportation
  Systems (ITSC)
publication_identifier:
  issn:
  - 2153-0017
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
  link:
  - relation: confirmation
    url: https://ieeexplore.ieee.org/document/10919569
status: public
title: Implementation and Results of a Multi-Stage Model Predictive Traffic Light
  Control System
type: conference
user_id: '36303'
volume: 27
year: '2025'
...
---
_id: '61427'
abstract:
- lang: eng
  text: "The carbon footprint of modern vehicles and their mechatronic systems is
    more\r\nimportant than ever. Research by the publicly funded Nalyses project and
    the HELLA\r\ncompany shows that the headlamps use phase makes a significant contribution
    to the life\r\ncycle footprint taking into account the current electricity mix
    [1]. Today, functionalities\r\nsuch as adaptive curve light or glare-free high
    beam ensure comfort and safety by\r\nassessing the state of the vehicle and evaluating
    the driving scenario ahead. In future,\r\nthis evaluation will be expanded and
    used to adapt the headlamp to the driving scenario\r\nin such a way that as little
    light as possible is emitted, but as much light as necessary. In\r\norder to achieve
    this goal, an overall evaluation of the regulatory compliant energy\r\nsaving
    potential is crucial in a first step and leads to constraints for a dynamic adaption\r\nwhile
    driving. In this paper, the potential is illustrated by evaluating UNECE Regulation\r\nNo.
    149 and optimizing luminous intensity distributions. Depending on the different\r\nresolutions
    of matrix LED headlamps, this approach can result in a significantly lower\r\nluminous
    flux. On the other hand, the results are point-like distributions that raise the\r\nquestion
    of whether the regulation still provides for sensible minimum requirements for\r\nmodern
    matrix LED headlamps. The results are further presented in a simulated virtual\r\nenvironment
    with regard to the resulting luminance in different driving scenarios. We\r\nthen
    present an approach to integrate regulatory requirements into a control algorithm
    by\r\nsetting optimization constraints and saturating the control. Finally, we
    classify the found\r\nluminous intensity distributions qualitatively according
    to common lighting criteria. In summary, although the investigated minimum distributions
    are by no means desirable\r\nfor drivers themselves, they form the basis on which
    energy-saving distributions for\r\nilluminated areas and twilight scenarios could
    be adaptively controlled in the future."
author:
- first_name: Niklas
  full_name: Fittkau, Niklas
  id: '69890'
  last_name: Fittkau
  orcid: 0009-0007-1281-4465
- first_name: Leon
  full_name: Bußemas, Leon
  id: '51118'
  last_name: Bußemas
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Fittkau N, Bußemas L, Malena K, Gausemeier S, Trächtler A. Regulatory-compliant
    energy-saving potential for the passing beam of matrix LED headlamps. In: <i>Proceedings
    of the 16th International Symposium on Automotive Lighting 2025</i>. ; 2025. doi:<a
    href="https://doi.org/10.26083/tuprints-00030840">10.26083/tuprints-00030840</a>'
  apa: Fittkau, N., Bußemas, L., Malena, K., Gausemeier, S., &#38; Trächtler, A. (2025).
    Regulatory-compliant energy-saving potential for the passing beam of matrix LED
    headlamps. <i>Proceedings of the 16th International Symposium on Automotive Lighting
    2025</i>. 16th International Symposium on Automotive Lighting, Darmstadt. <a href="https://doi.org/10.26083/tuprints-00030840">https://doi.org/10.26083/tuprints-00030840</a>
  bibtex: '@inproceedings{Fittkau_Bußemas_Malena_Gausemeier_Trächtler_2025, place={Darmstadt},
    title={Regulatory-compliant energy-saving potential for the passing beam of matrix
    LED headlamps}, DOI={<a href="https://doi.org/10.26083/tuprints-00030840">10.26083/tuprints-00030840</a>},
    booktitle={Proceedings of the 16th International Symposium on Automotive Lighting
    2025}, author={Fittkau, Niklas and Bußemas, Leon and Malena, Kevin and Gausemeier,
    Sandra and Trächtler, Ansgar}, year={2025} }'
  chicago: Fittkau, Niklas, Leon Bußemas, Kevin Malena, Sandra Gausemeier, and Ansgar
    Trächtler. “Regulatory-Compliant Energy-Saving Potential for the Passing Beam
    of Matrix LED Headlamps.” In <i>Proceedings of the 16th International Symposium
    on Automotive Lighting 2025</i>. Darmstadt, 2025. <a href="https://doi.org/10.26083/tuprints-00030840">https://doi.org/10.26083/tuprints-00030840</a>.
  ieee: 'N. Fittkau, L. Bußemas, K. Malena, S. Gausemeier, and A. Trächtler, “Regulatory-compliant
    energy-saving potential for the passing beam of matrix LED headlamps,” presented
    at the 16th International Symposium on Automotive Lighting, Darmstadt, 2025, doi:
    <a href="https://doi.org/10.26083/tuprints-00030840">10.26083/tuprints-00030840</a>.'
  mla: Fittkau, Niklas, et al. “Regulatory-Compliant Energy-Saving Potential for the
    Passing Beam of Matrix LED Headlamps.” <i>Proceedings of the 16th International
    Symposium on Automotive Lighting 2025</i>, 2025, doi:<a href="https://doi.org/10.26083/tuprints-00030840">10.26083/tuprints-00030840</a>.
  short: 'N. Fittkau, L. Bußemas, K. Malena, S. Gausemeier, A. Trächtler, in: Proceedings
    of the 16th International Symposium on Automotive Lighting 2025, Darmstadt, 2025.'
conference:
  end_date: 2025-09-24
  location: Darmstadt
  name: 16th International Symposium on Automotive Lighting
  start_date: 2025-09-22
date_created: 2025-09-24T08:56:38Z
date_updated: 2025-12-12T12:47:58Z
department:
- _id: '153'
doi: 10.26083/tuprints-00030840
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://tuprints.ulb.tu-darmstadt.de/30825/
oa: '1'
place: Darmstadt
project:
- _id: '693'
  name: Nachhaltigkeitsoptimiertes Life Cycle Assessment technologisch hochkomplexer
    Produkte am Beispiel Automobilbeleuchtung
publication: Proceedings of the 16th International Symposium on Automotive Lighting
  2025
status: public
title: Regulatory-compliant energy-saving potential for the passing beam of matrix
  LED headlamps
type: conference
user_id: '69890'
year: '2025'
...
---
_id: '54552'
abstract:
- lang: ger
  text: Die vorliegende Dissertation beschreibt das Konzept und den Entwicklungsprozess
    eines Lichtsignalanlagenregelungssystems bis zur Realumsetzung. Das Regelungssystem,
    welches im Rahmen des Pilotprojekts Schlosskreuzung entstanden ist, besteht dabei
    aus zwei untereinander abgestimmten Methoden zur Echtzeit-Verkehrsrekonstruktion
    und zur modellprädiktiven Regelung des Verkehrssystems anhand der vorhandenen
    Lichtsignalanlagen. Die Echtzeit-Verkehrsrekonstruktion approximiert dabei simulationsbasiert
    den aktuellen Verkehrszustand anhand gegebener Messdaten über dynamische Verkehrszuweisungen.
    Die entwickelte mehrstufige Lichtsignalanlagenregelung nutzt ein Fuzzy-System
    zur Phasenvorauswahl, um anschließend über eine modellprädiktive Regelung das
    nichtlineare Problem mit dem Ergebnis der optimalen Kombinationen von Phasen und
    Schaltzeitpunkten zu lösen. Das Regelungssystem wird in dieser Arbeit anhand eines
    ausgewählten Verkehrsgebiets zunächst rein simulativ getestet und mit dem vorliegenden
    Bestandsverfahren verglichen. Im Anschluss an die prototypische Inbetriebnahme
    wird dieser Vergleich durch die Feldtests abgeschlossen. Entsprechende Ergebnisse
    zeigen das große Potential der Entwicklung hinsichtlich der Reduktion von Kriterien
    wie Emissionen oder Wartezeiten und gleichzeitig den Handlungsbedarf für eine
    standardmäßige Nutzung.
- lang: eng
  text: This dissertation describes the concept and the development process of a traffic
    signal control system up to the real implementation.The control system, which
    was developed in the context of the Pilotprojekt Schlosskreuzung, consists of
    two mutually coordinated methods for real-time traffic reconstruction and for
    model-predictive control of the traffic system based on the existing traffic light
    systems.The real-time traffic reconstruction approximates the current traffic
    state simulation-based using given measurement data via dynamic traffic assignments.The
    designed multi-stage traffic signal control system uses a fuzzy-system for phase
    preselection and subsequently employs model predictive control to solve the nonlinear
    problem resulting in the optimal combinations of phases and switching times.In
    this work, the control system is first tested purely simulatively on the basis
    of a selected traffic area and compared with the existing inventory method.Following
    the prototypical commissioning, this comparison is finalised by field tests.Corresponding
    results show the great potential of the development with regard to the reduction
    of criteria such as emissions or waiting times and at the same time the need for
    action for use as standard.
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
citation:
  ama: Malena K. <i>Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
    Lichtsignalanlagenregelungssystems</i>. Vol 422. Heinz Nixdorf Institut, Universität
    Paderborn; 2024. doi:<a href="https://doi.org/10.17619/UNIPB/1-2021">10.17619/UNIPB/1-2021</a>
  apa: Malena, K. (2024). <i>Konzipierung, Analyse und Realumsetzung eines mehrstufigen
    modellprädiktiven Lichtsignalanlagenregelungssystems</i> (Vol. 422). Heinz Nixdorf
    Institut, Universität Paderborn. <a href="https://doi.org/10.17619/UNIPB/1-2021">https://doi.org/10.17619/UNIPB/1-2021</a>
  bibtex: '@book{Malena_2024, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts},
    title={Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
    Lichtsignalanlagenregelungssystems}, volume={422}, DOI={<a href="https://doi.org/10.17619/UNIPB/1-2021">10.17619/UNIPB/1-2021</a>},
    publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Malena, Kevin},
    year={2024}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }'
  chicago: Malena, Kevin. <i>Konzipierung, Analyse und Realumsetzung eines mehrstufigen
    modellprädiktiven Lichtsignalanlagenregelungssystems</i>. Vol. 422. Verlagsschriftenreihe
    des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn, 2024.
    <a href="https://doi.org/10.17619/UNIPB/1-2021">https://doi.org/10.17619/UNIPB/1-2021</a>.
  ieee: K. Malena, <i>Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
    Lichtsignalanlagenregelungssystems</i>, vol. 422. Heinz Nixdorf Institut, Universität
    Paderborn, 2024.
  mla: Malena, Kevin. <i>Konzipierung, Analyse und Realumsetzung eines mehrstufigen
    modellprädiktiven Lichtsignalanlagenregelungssystems</i>. Heinz Nixdorf Institut,
    Universität Paderborn, 2024, doi:<a href="https://doi.org/10.17619/UNIPB/1-2021">10.17619/UNIPB/1-2021</a>.
  short: K. Malena, Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
    Lichtsignalanlagenregelungssystems, Heinz Nixdorf Institut, Universität Paderborn,
    2024.
date_created: 2024-06-03T10:42:56Z
date_updated: 2024-10-30T14:41:24Z
ddc:
- '620'
department:
- _id: '153'
doi: 10.17619/UNIPB/1-2021
file:
- access_level: closed
  content_type: application/pdf
  creator: kmalena
  date_created: 2024-10-30T13:57:54Z
  date_updated: 2024-10-30T13:57:54Z
  file_id: '56828'
  file_name: Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
    Lichtsignalanlagenregelungssystems-1.pdf
  file_size: 14902500
  relation: main_file
  success: 1
file_date_updated: 2024-10-30T13:57:54Z
has_accepted_license: '1'
intvolume: '       422'
keyword:
- Traffic Light System Control
- Model Predictive Control
language:
- iso: ger
page: '207'
publication_identifier:
  isbn:
  - 978-3-947647-41-5
publication_status: published
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
supervisor:
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
- first_name: Jürgen
  full_name: Krimmling, Jürgen
  last_name: Krimmling
title: Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven
  Lichtsignalanlagenregelungssystems
type: dissertation
user_id: '36303'
volume: 422
year: '2024'
...
---
_id: '44390'
abstract:
- lang: eng
  text: The development of autonomous vehicles and their introduction in urban traffic
    offer many opportunities for traffic improvements. In this paper, an approach
    for a future traffic control system for mixed autonomy traffic environments is
    presented. Furthermore, a simulation framework based on the city of Paderborn
    is introduced to enable the development and examination of such a system. This
    encompasses multiple elements including the road network itself, traffic lights,
    sensors as well as methods to analyse the topology of the network. Furthermore,
    a procedure for traffic demand generation and routing is presented based on statistical
    data of the city and traffic data obtained by measurements. The resulting model
    can receive and apply the generated control inputs and in turn generates simulated
    sensor data for the control system based on the current system state.
author:
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Link C, Malena K, Gausemeier S, Trächtler A. Simulation Environment for Traffic
    Control Systems Targeting Mixed Autonomy Traffic Scenarios. In: <i>Proceedings
    of the 9th International Conference on Vehicle Technology and Intelligent Transport
    Systems</i>. SCITEPRESS - Science and Technology Publications; 2023. doi:<a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>'
  apa: Link, C., Malena, K., Gausemeier, S., &#38; Trächtler, A. (2023). Simulation
    Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios.
    <i>Proceedings of the 9th International Conference on Vehicle Technology and Intelligent
    Transport Systems</i>. 9th International Conference on Vehicle Technology and
    Intelligent Transport Systems (VEHITS 2023), Prague, Czech Republic. <a href="https://doi.org/10.5220/0011987600003479">https://doi.org/10.5220/0011987600003479</a>
  bibtex: '@inproceedings{Link_Malena_Gausemeier_Trächtler_2023, title={Simulation
    Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios},
    DOI={<a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>},
    booktitle={Proceedings of the 9th International Conference on Vehicle Technology
    and Intelligent Transport Systems}, publisher={SCITEPRESS - Science and Technology
    Publications}, author={Link, Christopher and Malena, Kevin and Gausemeier, Sandra
    and Trächtler, Ansgar}, year={2023} }'
  chicago: Link, Christopher, Kevin Malena, Sandra Gausemeier, and Ansgar Trächtler.
    “Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic
    Scenarios.” In <i>Proceedings of the 9th International Conference on Vehicle Technology
    and Intelligent Transport Systems</i>. SCITEPRESS - Science and Technology Publications,
    2023. <a href="https://doi.org/10.5220/0011987600003479">https://doi.org/10.5220/0011987600003479</a>.
  ieee: 'C. Link, K. Malena, S. Gausemeier, and A. Trächtler, “Simulation Environment
    for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios,” presented
    at the 9th International Conference on Vehicle Technology and Intelligent Transport
    Systems (VEHITS 2023), Prague, Czech Republic, 2023, doi: <a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>.'
  mla: Link, Christopher, et al. “Simulation Environment for Traffic Control Systems
    Targeting Mixed Autonomy Traffic Scenarios.” <i>Proceedings of the 9th International
    Conference on Vehicle Technology and Intelligent Transport Systems</i>, SCITEPRESS
    - Science and Technology Publications, 2023, doi:<a href="https://doi.org/10.5220/0011987600003479">10.5220/0011987600003479</a>.
  short: 'C. Link, K. Malena, S. Gausemeier, A. Trächtler, in: Proceedings of the
    9th International Conference on Vehicle Technology and Intelligent Transport Systems,
    SCITEPRESS - Science and Technology Publications, 2023.'
conference:
  end_date: 2023-04-28
  location: Prague, Czech Republic
  name: 9th International Conference on Vehicle Technology and Intelligent Transport
    Systems (VEHITS 2023)
  start_date: 2023-04-26
date_created: 2023-05-03T08:57:10Z
date_updated: 2023-05-03T09:15:19Z
department:
- _id: '153'
doi: 10.5220/0011987600003479
keyword:
- Traffic Simulation
- Traffic Control
- Car2X
- Mixed Autonomy
- Autonomous Vehicles
- SUMO
- Sensor Simulation
- Traffic Demand Generation
- Routing
- Traffic Lights
- Graph Analysis
- Traffic Observer
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/Link.aspx?doi=10.5220/0011987600003479
publication: Proceedings of the 9th International Conference on Vehicle Technology
  and Intelligent Transport Systems
publication_identifier:
  isbn:
  - 978-989-758-652-1
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
quality_controlled: '1'
status: public
title: Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy
  Traffic Scenarios
type: conference
user_id: '38249'
year: '2023'
...
---
_id: '56827'
abstract:
- lang: ger
  text: "Zusammenfassung: Die Erfindung betrifft ein Verkehrsleitsystem für die Steuerung
    von Lichtsignalanlagen aufweisend:\r\n• Eingänge für Verkehrszustandsermittlungsverfahren
    abhängig von verschiedenen Sensoren, wobei die Sensoren einen aktuellen Verkehrszustand
    eines zugeordneten Verkehrsabschnitts ermitteln,\r\n• Statusregister, die den
    aktuellen Status der gesteuerten Lichtsignalanlagen speichern,\r\n• Phasenregister,
    die alle möglichen Verkehrsleitphasen, die durch die Lichtsignalanlagen angesteuert
    werden können, speichern,\r\n• eine Fuzzy-Logik (F) zur Vorselektion von möglichen
    Verkehrsleitphasen basierend auf einem aktuellen Verkehrszustand, wobei für jede
    mögliche Verkehrsleitphase basierend auf dem aktuellen Verkehrszustand ein Prioritätswert
    ermittelt wird, wobei für die weitere Verarbeitung nur eine vorbestimmte Anzahl
    von vorselektierten nachfolgenden Verkehrsleitphasen anhand der Priorität ausgewählt
    wird,\r\n• wobei die so vorausgewählten Verkehrsleitphasen einer modellprädiktiven
    Regelung mit einer Verkehrsprädiktionssimulation (MPC) zugeführt werden, wobei
    die Regelung basierend auf den Phasenfolgen (gebildet aus den vorselektierten
    Verkehrsleitphasen), dem aktuellen Verkehrszustand und dem aktuellen Status der
    gesteuerten Lichtsignalanlagen eine geeignete prädiktive zeitliche Phasensteuerung
    ermittelt, wobei die Schaltzeitpunkte der Phasenfolgen durch ein Optimierungsverfahren
    berechnet werden,\r\n• wobei die so ermittelte prädiktive zeitliche Phasensteuerung
    keine, eine oder mehrere zu schaltenden Folgephasen mit den ermittelten Schaltzeitpunkten
    aufweist,\r\n• wobei anhand der Bewertungen der einzelnen prädiktiven zeitlichen
    Phasensteuerungen ermittelt wird, welche der prädiktiven zeitlichen Phasensteuerungen
    zur weiteren Steuerung der Lichtsignalanlagen ausgewählt und verwendet wird."
application_date: 2021-07-26
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: Malena K, Link C, Gausemeier S, Trächtler A. Vorrichtung und Verfahren zur
    echtzeit-basierten dynamischen Verkehrszuordnung für zumindest zwei nachfolgende
    Fahrbahnen. Published online 2023.
  apa: Malena, K., Link, C., Gausemeier, S., &#38; Trächtler, A. (2023). <i>Vorrichtung
    und Verfahren zur echtzeit-basierten dynamischen Verkehrszuordnung für zumindest
    zwei nachfolgende Fahrbahnen</i>.
  bibtex: '@article{Malena_Link_Gausemeier_Trächtler_2023, title={Vorrichtung und
    Verfahren zur echtzeit-basierten dynamischen Verkehrszuordnung für zumindest zwei
    nachfolgende Fahrbahnen}, author={Malena, Kevin and Link, Christopher and Gausemeier,
    Sandra and Trächtler, Ansgar}, year={2023} }'
  chicago: Malena, Kevin, Christopher Link, Sandra Gausemeier, and Ansgar Trächtler.
    “Vorrichtung Und Verfahren Zur Echtzeit-Basierten Dynamischen Verkehrszuordnung
    Für Zumindest Zwei Nachfolgende Fahrbahnen,” 2023.
  ieee: K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “Vorrichtung und Verfahren
    zur echtzeit-basierten dynamischen Verkehrszuordnung für zumindest zwei nachfolgende
    Fahrbahnen.” 2023.
  mla: Malena, Kevin, et al. <i>Vorrichtung Und Verfahren Zur Echtzeit-Basierten Dynamischen
    Verkehrszuordnung Für Zumindest Zwei Nachfolgende Fahrbahnen</i>. 2023.
  short: K. Malena, C. Link, S. Gausemeier, A. Trächtler, (2023).
date_created: 2024-10-30T13:27:37Z
date_updated: 2024-10-30T13:47:39Z
department:
- _id: '153'
ipc: G08G 1/07
ipn: 10 2021 204 191.4
project:
- _id: '688'
  name: 'Schlosskreuzung: Pilotprojekt "Schlosskreuzung"'
publication_date: 2023-01-26
status: public
title: Vorrichtung und Verfahren zur echtzeit-basierten dynamischen Verkehrszuordnung
  für zumindest zwei nachfolgende Fahrbahnen
type: patent
user_id: '36303'
year: '2023'
...
---
_id: '33849'
abstract:
- lang: eng
  text: Modern traffic control systems are key to cope with current and future traffic
    challenges. In this paper information obtained from a microscopic traffic estimation
    using various data sources is used to feed a new developed traffic control approach.
    The presented method can control a traffic area with multiple traffic light systems
    (TLS) reacting to individual road users and pedestrians. In contrast to widespread
    green time extension techniques, this control selects the best phase sequence
    by analyzing the current traffic state reconstructed in SUMO and its predicted
    progress. To achieve this, the key aspect of the control strategy is to use Model
    Predictive Control (MPC). In order to maintain realism for real world applications,
    among other things, the traffic phase transitions are modelled in detail and integrated
    within the prediction. For the efficiency, the approach incorporates a fuzzy logic
    preselection of all phases reducing the computational effort. The evaluation itself
    is able to be easily adjusted to focus on various objectives like low occupancies,
    reducing waiting times and emissions, few number of phase transitions etc. determining
    the best switching times for the selected phases. Exemplary traffic simulations
    demonstrate the functionality of the MPC-based control and, in addition, some
    aspects under development like the real-world communication network are also discussed.
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Leon
  full_name: Bußemas, Leon
  id: '51118'
  last_name: Bußemas
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Malena K, Link C, Bußemas L, Gausemeier S, Trächtler A. Traffic Estimation
    and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments.
    In: Klein C, Jarke M, Helfert M, Berns K, Gusikhin O, eds. <i>Communications in
    Computer and Information Science</i>. Vol 1612. Communications in Computer and
    Information Science. Springer International Publishing; 2022:232–254. doi:<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>'
  apa: Malena, K., Link, C., Bußemas, L., Gausemeier, S., &#38; Trächtler, A. (2022).
    Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time
    Traffic Environments. In C. Klein, M. Jarke, M. Helfert, K. Berns, &#38; O. Gusikhin
    (Eds.), <i>Communications in Computer and Information Science</i> (Vol. 1612,
    pp. 232–254). Springer International Publishing. <a href="https://doi.org/10.1007/978-3-031-17098-0_12">https://doi.org/10.1007/978-3-031-17098-0_12</a>
  bibtex: '@inbook{Malena_Link_Bußemas_Gausemeier_Trächtler_2022, place={Cham}, series={Communications
    in Computer and Information Science}, title={Traffic Estimation and MPC-Based
    Traffic Light System Control in Realistic Real-Time Traffic Environments}, volume={1612},
    DOI={<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>},
    booktitle={Communications in Computer and Information Science}, publisher={Springer
    International Publishing}, author={Malena, Kevin and Link, Christopher and Bußemas,
    Leon and Gausemeier, Sandra and Trächtler, Ansgar}, editor={Klein, Cornel and
    Jarke, Mathias and Helfert, Markus and Berns, Karsten and Gusikhin, Oleg}, year={2022},
    pages={232–254}, collection={Communications in Computer and Information Science}
    }'
  chicago: 'Malena, Kevin, Christopher Link, Leon Bußemas, Sandra Gausemeier, and
    Ansgar Trächtler. “Traffic Estimation and MPC-Based Traffic Light System Control
    in Realistic Real-Time Traffic Environments.” In <i>Communications in Computer
    and Information Science</i>, edited by Cornel Klein, Mathias Jarke, Markus Helfert,
    Karsten Berns, and Oleg Gusikhin, 1612:232–254. Communications in Computer and
    Information Science. Cham: Springer International Publishing, 2022. <a href="https://doi.org/10.1007/978-3-031-17098-0_12">https://doi.org/10.1007/978-3-031-17098-0_12</a>.'
  ieee: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, and A. Trächtler, “Traffic
    Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic
    Environments,” in <i>Communications in Computer and Information Science</i>, vol.
    1612, C. Klein, M. Jarke, M. Helfert, K. Berns, and O. Gusikhin, Eds. Cham: Springer
    International Publishing, 2022, pp. 232–254.'
  mla: Malena, Kevin, et al. “Traffic Estimation and MPC-Based Traffic Light System
    Control in Realistic Real-Time Traffic Environments.” <i>Communications in Computer
    and Information Science</i>, edited by Cornel Klein et al., vol. 1612, Springer
    International Publishing, 2022, pp. 232–254, doi:<a href="https://doi.org/10.1007/978-3-031-17098-0_12">10.1007/978-3-031-17098-0_12</a>.
  short: 'K. Malena, C. Link, L. Bußemas, S. Gausemeier, A. Trächtler, in: C. Klein,
    M. Jarke, M. Helfert, K. Berns, O. Gusikhin (Eds.), Communications in Computer
    and Information Science, Springer International Publishing, Cham, 2022, pp. 232–254.'
date_created: 2022-10-20T15:06:39Z
date_updated: 2026-01-26T08:49:52Z
department:
- _id: '153'
doi: 10.1007/978-3-031-17098-0_12
editor:
- first_name: Cornel
  full_name: Klein, Cornel
  last_name: Klein
- first_name: Mathias
  full_name: Jarke, Mathias
  last_name: Jarke
- first_name: Markus
  full_name: Helfert, Markus
  last_name: Helfert
- first_name: Karsten
  full_name: Berns, Karsten
  last_name: Berns
- first_name: Oleg
  full_name: Gusikhin, Oleg
  last_name: Gusikhin
intvolume: '      1612'
keyword:
- Traffic control
- Traffic estimation
- Real-time
- MPC
- Fuzzy
- Isolated intersection
- Networked intersection
- Sensor fusion
language:
- iso: eng
page: 232–254
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
  isbn:
  - '9783031170973'
  - '9783031170980'
  issn:
  - 1865-0929
  - 1865-0937
publication_status: published
publisher: Springer International Publishing
quality_controlled: '1'
related_material:
  record:
  - id: '24159'
    relation: continues
    status: public
series_title: Communications in Computer and Information Science
status: public
title: Traffic Estimation and MPC-Based Traffic Light System Control in Realistic
  Real-Time Traffic Environments
type: book_chapter
user_id: '552'
volume: 1612
year: '2022'
...
---
_id: '24159'
abstract:
- lang: eng
  text: "The online fitting of a microscopic traffic simulation model to reconstruct
    the current state of a real traffic\r\narea can be challenging depending on the
    provided data. This paper presents a novel method based on limited\r\ndata from
    sensors positioned at specific locations and guarantees a general accordance of
    reality and\r\nsimulation in terms of multimodal road traffic counts and vehicle
    speeds. In these considerations, the actual\r\npurpose of research is of particular
    importance. Here, the research aims at improving the traffic flow by\r\ncontrolling
    the Traffic Light Systems (TLS) of the examined area which is why the current
    traffic state and\r\nthe route choices of individual road users are the matter
    of interest. An integer optimization problem is derived\r\nto fit the current
    simulation to the latest field measurements. The concept can be transferred to
    any road traffic\r\nnetwork and results in an observation of the current multimodal
    traffic state matching at the given sensor\r\nposition. First case studies show
    promosing results in terms of deviations between reality and simulation."
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Sven
  full_name: Mertin, Sven
  id: '13195'
  last_name: Mertin
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Malena K, Link C, Mertin S, Gausemeier S, Trächtler A. Online State Estimation
    for Microscopic Traffic Simulations using Multiple Data Sources*. In: <i>VEHITS
    2021 Proceedings of the 7th International Conference on Vehicle Technology and
    Intelligent Transport Systems</i>. Vol 7. VEHITS 2021 Proceedings of the 7th International
    Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS;
    2021:386-395.'
  apa: Malena, K., Link, C., Mertin, S., Gausemeier, S., &#38; Trächtler, A. (2021).
    Online State Estimation for Microscopic Traffic Simulations using Multiple Data
    Sources*. <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
    Technology and Intelligent Transport Systems</i>, <i>7</i>, 386–395.
  bibtex: '@inproceedings{Malena_Link_Mertin_Gausemeier_Trächtler_2021, place={Portugal},
    series={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
    Technology and Intelligent Transport Systems}, title={Online State Estimation
    for Microscopic Traffic Simulations using Multiple Data Sources*}, volume={7},
    booktitle={VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
    Technology and Intelligent Transport Systems}, publisher={SCITEPRESS}, author={Malena,
    Kevin and Link, Christopher and Mertin, Sven and Gausemeier, Sandra and Trächtler,
    Ansgar}, year={2021}, pages={386–395}, collection={VEHITS 2021 Proceedings of
    the 7th International Conference on Vehicle Technology and Intelligent Transport
    Systems} }'
  chicago: 'Malena, Kevin, Christopher Link, Sven Mertin, Sandra Gausemeier, and Ansgar
    Trächtler. “Online State Estimation for Microscopic Traffic Simulations Using
    Multiple Data Sources*.” In <i>VEHITS 2021 Proceedings of the 7th International
    Conference on Vehicle Technology and Intelligent Transport Systems</i>, 7:386–95.
    VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
    and Intelligent Transport Systems. Portugal: SCITEPRESS, 2021.'
  ieee: K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Online State
    Estimation for Microscopic Traffic Simulations using Multiple Data Sources*,”
    in <i>VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology
    and Intelligent Transport Systems</i>, Online Streaming, 2021, vol. 7, pp. 386–395.
  mla: Malena, Kevin, et al. “Online State Estimation for Microscopic Traffic Simulations
    Using Multiple Data Sources*.” <i>VEHITS 2021 Proceedings of the 7th International
    Conference on Vehicle Technology and Intelligent Transport Systems</i>, vol. 7,
    SCITEPRESS, 2021, pp. 386–95.
  short: 'K. Malena, C. Link, S. Mertin, S. Gausemeier, A. Trächtler, in: VEHITS 2021
    Proceedings of the 7th International Conference on Vehicle Technology and Intelligent
    Transport Systems, SCITEPRESS, Portugal, 2021, pp. 386–395.'
conference:
  end_date: 2021-04-30
  location: Online Streaming
  name: 7th International Conference on Vehicle Technology and Intelligent Transport
    Systems
  start_date: 2021-04-28
date_created: 2021-09-10T12:19:14Z
date_updated: 2026-01-26T08:49:53Z
department:
- _id: '153'
intvolume: '         7'
keyword:
- Microscopic Traffic Simulation
- Online State Estimation
- Mixed Road Users
- Sensor Fusion
- Integer Programming
- Route Choice
- Vehicle2Infrastructure
language:
- iso: eng
main_file_link:
- url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
page: 386-395
place: Portugal
project:
- _id: '688'
  name: Pilotprojekt "Schlosskreuzung"
publication: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
  Technology and Intelligent Transport Systems
publication_identifier:
  isbn:
  - 978-989-758-513-5
publication_status: published
publisher: SCITEPRESS
quality_controlled: '1'
related_material:
  link:
  - relation: confirmation
    url: https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1
  record:
  - id: '33849'
    relation: is_continued_by
    status: public
series_title: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle
  Technology and Intelligent Transport Systems
status: public
title: Online State Estimation for Microscopic Traffic Simulations using Multiple
  Data Sources*
type: conference
user_id: '36303'
volume: 7
year: '2021'
...
---
_id: '24166'
abstract:
- lang: eng
  text: This paper deals with a novel method for the online fitting of a microscopic
    traffic simulation model to the current state of a real world traffic area. The
    traffic state estimation is based on limited data of different measurement sources
    and guarantees general accordance of reality and simulation in terms of multimodal
    road traffic counts and vehicle speeds. The research is embedded in the challenge
    of improving the traffic by controlling the traffic light systems (TLS) of the
    examined area. Therefore, the current traffic state and the predicted route choices
    of individual road users are the matter of interest. The concept is generally
    transferable to any road traffic system. To give an impression of the accuracy
    and potential of the approach, the validation and first application results are
    presented.
author:
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Sven
  full_name: Mertin, Sven
  id: '13195'
  last_name: Mertin
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Malena K, Link C, Mertin S, Gausemeier S, Trächtler A. Validation of an Online
    State Estimation Concept for Microscopic Traffic Simulations◆. In: <i>2021 IEEE
    Transportation Electrification Conference &#38; Expo (ITEC)</i>. IEEE; 2021. doi:<a
    href="https://doi.org/10.1109/itec51675.2021.9490087">10.1109/itec51675.2021.9490087</a>'
  apa: Malena, K., Link, C., Mertin, S., Gausemeier, S., &#38; Trächtler, A. (2021).
    Validation of an Online State Estimation Concept for Microscopic Traffic Simulations◆.
    <i>2021 IEEE Transportation Electrification Conference &#38; Expo (ITEC)</i>.
    2021 IEEE Transportation Electrification Conference &#38; Expo (ITEC). <a href="https://doi.org/10.1109/itec51675.2021.9490087">https://doi.org/10.1109/itec51675.2021.9490087</a>
  bibtex: '@inproceedings{Malena_Link_Mertin_Gausemeier_Trächtler_2021, place={Chicago,
    IL, USA }, title={Validation of an Online State Estimation Concept for Microscopic
    Traffic Simulations◆}, DOI={<a href="https://doi.org/10.1109/itec51675.2021.9490087">10.1109/itec51675.2021.9490087</a>},
    booktitle={2021 IEEE Transportation Electrification Conference &#38; Expo (ITEC)},
    publisher={IEEE}, author={Malena, Kevin and Link, Christopher and Mertin, Sven
    and Gausemeier, Sandra and Trächtler, Ansgar}, year={2021} }'
  chicago: 'Malena, Kevin, Christopher Link, Sven Mertin, Sandra Gausemeier, and Ansgar
    Trächtler. “Validation of an Online State Estimation Concept for Microscopic Traffic
    Simulations◆.” In <i>2021 IEEE Transportation Electrification Conference &#38;
    Expo (ITEC)</i>. Chicago, IL, USA : IEEE, 2021. <a href="https://doi.org/10.1109/itec51675.2021.9490087">https://doi.org/10.1109/itec51675.2021.9490087</a>.'
  ieee: 'K. Malena, C. Link, S. Mertin, S. Gausemeier, and A. Trächtler, “Validation
    of an Online State Estimation Concept for Microscopic Traffic Simulations◆,” presented
    at the 2021 IEEE Transportation Electrification Conference &#38; Expo (ITEC),
    2021, doi: <a href="https://doi.org/10.1109/itec51675.2021.9490087">10.1109/itec51675.2021.9490087</a>.'
  mla: Malena, Kevin, et al. “Validation of an Online State Estimation Concept for
    Microscopic Traffic Simulations◆.” <i>2021 IEEE Transportation Electrification
    Conference &#38; Expo (ITEC)</i>, IEEE, 2021, doi:<a href="https://doi.org/10.1109/itec51675.2021.9490087">10.1109/itec51675.2021.9490087</a>.
  short: 'K. Malena, C. Link, S. Mertin, S. Gausemeier, A. Trächtler, in: 2021 IEEE
    Transportation Electrification Conference &#38; Expo (ITEC), IEEE, Chicago, IL,
    USA , 2021.'
conference:
  end_date: 2021-05-25
  name: 2021 IEEE Transportation Electrification Conference & Expo (ITEC)
  start_date: 2021-05-21
date_created: 2021-09-10T12:45:25Z
date_updated: 2026-01-26T08:50:10Z
department:
- _id: '153'
doi: 10.1109/itec51675.2021.9490087
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://ieeexplore.ieee.org/document/9490087
oa: '1'
place: 'Chicago, IL, USA '
project:
- _id: '688'
  name: Pilotprojekt "Schlosskreuzung"
publication: 2021 IEEE Transportation Electrification Conference & Expo (ITEC)
publication_identifier:
  isbn:
  - 978-1-7281-7584-3
publication_status: published
publisher: IEEE
related_material:
  link:
  - relation: confirmation
    url: https://ieeexplore.ieee.org/document/9490087
status: public
title: Validation of an Online State Estimation Concept for Microscopic Traffic Simulations◆
type: conference
user_id: '36303'
year: '2021'
...
---
_id: '22966'
author:
- first_name: Sven
  full_name: Mertin, Sven
  id: '13195'
  last_name: Mertin
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
- first_name: Christopher
  full_name: Link, Christopher
  id: '38249'
  last_name: Link
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Mertin S, Malena K, Link C, Gausemeier S, Trächtler A. Macroscopic Traffic
    Flow Control using Consensus Algorithms. In: <i>The 23rd IEEE International Conference
    on Intelligent Transportation Systems</i>. Vol 23. https://www.ieee-itsc2020.org/:
    International Conference on Intelligent Transportation Systems (ITSC); 2020.'
  apa: 'Mertin, S., Malena, K., Link, C., Gausemeier, S., &#38; Trächtler, A. (2020).
    Macroscopic Traffic Flow Control using Consensus Algorithms. In <i>The 23rd IEEE
    International Conference on Intelligent Transportation Systems</i> (Vol. 23).
    https://www.ieee-itsc2020.org/: International Conference on Intelligent Transportation
    Systems (ITSC).'
  bibtex: '@inproceedings{Mertin_Malena_Link_Gausemeier_Trächtler_2020, place={https://www.ieee-itsc2020.org/},
    title={Macroscopic Traffic Flow Control using Consensus Algorithms}, volume={23},
    booktitle={The 23rd IEEE International Conference on Intelligent Transportation
    Systems}, publisher={International Conference on Intelligent Transportation Systems
    (ITSC)}, author={Mertin, Sven and Malena, Kevin and Link, Christopher and Gausemeier,
    Sandra and Trächtler, Ansgar}, year={2020} }'
  chicago: 'Mertin, Sven, Kevin Malena, Christopher Link, Sandra Gausemeier, and Ansgar
    Trächtler. “Macroscopic Traffic Flow Control Using Consensus Algorithms.” In <i>The
    23rd IEEE International Conference on Intelligent Transportation Systems</i>,
    Vol. 23. https://www.ieee-itsc2020.org/: International Conference on Intelligent
    Transportation Systems (ITSC), 2020.'
  ieee: S. Mertin, K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “Macroscopic
    Traffic Flow Control using Consensus Algorithms,” in <i>The 23rd IEEE International
    Conference on Intelligent Transportation Systems</i>, 2020, vol. 23.
  mla: Mertin, Sven, et al. “Macroscopic Traffic Flow Control Using Consensus Algorithms.”
    <i>The 23rd IEEE International Conference on Intelligent Transportation Systems</i>,
    vol. 23, International Conference on Intelligent Transportation Systems (ITSC),
    2020.
  short: 'S. Mertin, K. Malena, C. Link, S. Gausemeier, A. Trächtler, in: The 23rd
    IEEE International Conference on Intelligent Transportation Systems, International
    Conference on Intelligent Transportation Systems (ITSC), https://www.ieee-itsc2020.org/,
    2020.'
date_created: 2021-08-09T05:16:51Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
intvolume: '        23'
language:
- iso: eng
place: https://www.ieee-itsc2020.org/
publication: The 23rd IEEE International Conference on Intelligent Transportation
  Systems
publisher: International Conference on Intelligent Transportation Systems (ITSC)
status: public
title: Macroscopic Traffic Flow Control using Consensus Algorithms
type: conference
user_id: '24876'
volume: 23
year: '2020'
...