[{"year":"2026","citation":{"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.","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.","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} }","short":"K. Malena, C. Link, S. Gausemeier, A. Trächtler, in: 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), IEEE, n.d.","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.","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>."},"intvolume":"        28","publication_status":"accepted","quality_controlled":"1","title":"ML-based Prediction Framework for varying Traffic Signal Control Strategies and its GLOSA-application","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_updated":"2026-01-26T08:50:37Z","publisher":"IEEE","date_created":"2025-10-01T11:20:34Z","author":[{"first_name":"Kevin","orcid":"0000-0003-1183-4679","last_name":"Malena","id":"36303","full_name":"Malena, Kevin"},{"last_name":"Link","id":"38249","full_name":"Link, Christopher","first_name":"Christopher"},{"first_name":"Sandra","last_name":"Gausemeier","full_name":"Gausemeier, Sandra","id":"17793"},{"first_name":"Ansgar","full_name":"Trächtler, Ansgar","id":"552","last_name":"Trächtler"}],"volume":28,"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."}],"status":"public","type":"conference","publication":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","keyword":["ML","Prediction","Tree Ensembles","GLOSA"],"language":[{"iso":"eng"}],"_id":"61492","user_id":"36303","department":[{"_id":"153"}]},{"user_id":"36303","department":[{"_id":"153"}],"_id":"59088","status":"public","type":"conference","conference":{"start_date":"2024-09-24","name":"27th International Conference on Intelligent Transportation Systems (ITSC)","location":"Edmonton (Canada)","end_date":"2024-09-27"},"doi":"10.1109/itsc58415.2024.10919569","author":[{"first_name":"Kevin","orcid":"0000-0003-1183-4679","last_name":"Malena","id":"36303","full_name":"Malena, Kevin"},{"last_name":"Link","full_name":"Link, Christopher","id":"38249","first_name":"Christopher"},{"id":"17793","full_name":"Gausemeier, Sandra","last_name":"Gausemeier","first_name":"Sandra"},{"last_name":"Trächtler","id":"552","full_name":"Trächtler, Ansgar","first_name":"Ansgar"}],"volume":27,"date_updated":"2026-01-26T08:50:46Z","citation":{"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>","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.","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>.","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>"},"intvolume":"        27","related_material":{"link":[{"url":"https://ieeexplore.ieee.org/document/10919569","relation":"confirmation"}]},"publication_status":"published","publication_identifier":{"issn":["2153-0017"]},"language":[{"iso":"eng"}],"keyword":["MPC"],"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."}],"publication":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","title":"Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System","date_created":"2025-03-24T08:57:08Z","publisher":"IEEE","year":"2025","quality_controlled":"1"},{"publication":"Proceedings of the 16th International Symposium on Automotive Lighting 2025","type":"conference","status":"public","abstract":[{"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.","lang":"eng"}],"department":[{"_id":"153"}],"user_id":"69890","_id":"61427","project":[{"name":"Nachhaltigkeitsoptimiertes Life Cycle Assessment technologisch hochkomplexer Produkte am Beispiel Automobilbeleuchtung","_id":"693"}],"language":[{"iso":"eng"}],"citation":{"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>.","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>.","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} }","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."},"place":"Darmstadt","year":"2025","date_created":"2025-09-24T08:56:38Z","author":[{"first_name":"Niklas","orcid":"0009-0007-1281-4465","last_name":"Fittkau","full_name":"Fittkau, Niklas","id":"69890"},{"first_name":"Leon","last_name":"Bußemas","id":"51118","full_name":"Bußemas, Leon"},{"orcid":"0000-0003-1183-4679","last_name":"Malena","full_name":"Malena, Kevin","id":"36303","first_name":"Kevin"},{"first_name":"Sandra","full_name":"Gausemeier, Sandra","id":"17793","last_name":"Gausemeier"},{"last_name":"Trächtler","full_name":"Trächtler, Ansgar","id":"552","first_name":"Ansgar"}],"oa":"1","date_updated":"2025-12-12T12:47:58Z","conference":{"location":"Darmstadt","end_date":"2025-09-24","start_date":"2025-09-22","name":"16th International Symposium on Automotive Lighting"},"doi":"10.26083/tuprints-00030840","main_file_link":[{"url":"https://tuprints.ulb.tu-darmstadt.de/30825/","open_access":"1"}],"title":"Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps"},{"series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","user_id":"36303","department":[{"_id":"153"}],"_id":"54552","file_date_updated":"2024-10-30T13:57:54Z","type":"dissertation","status":"public","author":[{"first_name":"Kevin","full_name":"Malena, Kevin","id":"36303","orcid":"0000-0003-1183-4679","last_name":"Malena"}],"supervisor":[{"first_name":"Ansgar","last_name":"Trächtler","id":"552","full_name":"Trächtler, Ansgar"},{"full_name":"Krimmling, Jürgen","last_name":"Krimmling","first_name":"Jürgen"}],"volume":422,"date_updated":"2024-10-30T14:41:24Z","doi":"10.17619/UNIPB/1-2021","publication_status":"published","has_accepted_license":"1","publication_identifier":{"isbn":["978-3-947647-41-5"]},"citation":{"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>","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.","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.","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>"},"intvolume":"       422","page":"207","language":[{"iso":"ger"}],"ddc":["620"],"keyword":["Traffic Light System Control","Model Predictive Control"],"file":[{"creator":"kmalena","date_created":"2024-10-30T13:57:54Z","date_updated":"2024-10-30T13:57:54Z","access_level":"closed","file_name":"Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems-1.pdf","file_id":"56828","file_size":14902500,"content_type":"application/pdf","relation":"main_file","success":1}],"abstract":[{"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":"ger"},{"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."}],"date_created":"2024-06-03T10:42:56Z","publisher":"Heinz Nixdorf Institut, Universität Paderborn","title":"Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems","year":"2024"},{"language":[{"iso":"eng"}],"keyword":["Traffic Simulation","Traffic Control","Car2X","Mixed Autonomy","Autonomous Vehicles","SUMO","Sensor Simulation","Traffic Demand Generation","Routing","Traffic Lights","Graph Analysis","Traffic Observer"],"abstract":[{"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.","lang":"eng"}],"publication":"Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems","title":"Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios","date_created":"2023-05-03T08:57:10Z","publisher":"SCITEPRESS - Science and Technology Publications","year":"2023","quality_controlled":"1","department":[{"_id":"153"}],"user_id":"38249","_id":"44390","status":"public","type":"conference","doi":"10.5220/0011987600003479","conference":{"start_date":"2023-04-26","name":"9th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2023)","location":"Prague, Czech Republic","end_date":"2023-04-28"},"main_file_link":[{"url":"https://www.scitepress.org/Link.aspx?doi=10.5220/0011987600003479"}],"author":[{"first_name":"Christopher","last_name":"Link","full_name":"Link, Christopher","id":"38249"},{"id":"36303","full_name":"Malena, Kevin","last_name":"Malena","orcid":"0000-0003-1183-4679","first_name":"Kevin"},{"first_name":"Sandra","last_name":"Gausemeier","id":"17793","full_name":"Gausemeier, Sandra"},{"id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"}],"date_updated":"2023-05-03T09:15:19Z","citation":{"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>.","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>.","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>","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.","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} }","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>."},"publication_identifier":{"isbn":["978-989-758-652-1"]},"publication_status":"published"},{"department":[{"_id":"153"}],"user_id":"36303","_id":"56827","publication_date":"2023-01-26","project":[{"name":"Schlosskreuzung: Pilotprojekt \"Schlosskreuzung\"","_id":"688"}],"status":"public","abstract":[{"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.","lang":"ger"}],"type":"patent","ipn":"10 2021 204 191.4","title":"Vorrichtung und Verfahren zur echtzeit-basierten dynamischen Verkehrszuordnung für zumindest zwei nachfolgende Fahrbahnen","author":[{"id":"36303","full_name":"Malena, Kevin","orcid":"0000-0003-1183-4679","last_name":"Malena","first_name":"Kevin"},{"first_name":"Christopher","full_name":"Link, Christopher","id":"38249","last_name":"Link"},{"first_name":"Sandra","id":"17793","full_name":"Gausemeier, Sandra","last_name":"Gausemeier"},{"first_name":"Ansgar","id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler"}],"date_created":"2024-10-30T13:27:37Z","ipc":"G08G 1/07","date_updated":"2024-10-30T13:47:39Z","citation":{"ieee":"K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “Vorrichtung und Verfahren zur echtzeit-basierten dynamischen Verkehrszuordnung für zumindest zwei nachfolgende Fahrbahnen.” 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.","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>.","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).","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} }"},"year":"2023","application_date":"2021-07-26"},{"type":"book_chapter","status":"public","editor":[{"first_name":"Cornel","last_name":"Klein","full_name":"Klein, Cornel"},{"full_name":"Jarke, Mathias","last_name":"Jarke","first_name":"Mathias"},{"last_name":"Helfert","full_name":"Helfert, Markus","first_name":"Markus"},{"full_name":"Berns, Karsten","last_name":"Berns","first_name":"Karsten"},{"last_name":"Gusikhin","full_name":"Gusikhin, Oleg","first_name":"Oleg"}],"department":[{"_id":"153"}],"series_title":"Communications in Computer and Information Science","user_id":"552","_id":"33849","related_material":{"record":[{"status":"public","id":"24159","relation":"continues"}]},"publication_identifier":{"isbn":["9783031170973","9783031170980"],"issn":["1865-0929","1865-0937"]},"publication_status":"published","intvolume":"      1612","page":"232–254","citation":{"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>","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.","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} }","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>.","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.","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>.","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>"},"place":"Cham","volume":1612,"author":[{"first_name":"Kevin","orcid":"0000-0003-1183-4679","last_name":"Malena","full_name":"Malena, Kevin","id":"36303"},{"id":"38249","full_name":"Link, Christopher","last_name":"Link","first_name":"Christopher"},{"first_name":"Leon","last_name":"Bußemas","id":"51118","full_name":"Bußemas, Leon"},{"first_name":"Sandra","last_name":"Gausemeier","id":"17793","full_name":"Gausemeier, Sandra"},{"first_name":"Ansgar","id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler"}],"date_updated":"2026-01-26T08:49:52Z","doi":"10.1007/978-3-031-17098-0_12","publication":"Communications in Computer and Information Science","abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}],"keyword":["Traffic control","Traffic estimation","Real-time","MPC","Fuzzy","Isolated intersection","Networked intersection","Sensor fusion"],"quality_controlled":"1","year":"2022","date_created":"2022-10-20T15:06:39Z","publisher":"Springer International Publishing","title":"Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments"},{"title":"Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*","publisher":"SCITEPRESS","date_created":"2021-09-10T12:19:14Z","year":"2021","quality_controlled":"1","keyword":["Microscopic Traffic Simulation","Online State Estimation","Mixed Road Users","Sensor Fusion","Integer Programming","Route Choice","Vehicle2Infrastructure"],"language":[{"iso":"eng"}],"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."}],"publication":"VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems","conference":{"start_date":"2021-04-28","name":"7th International Conference on Vehicle Technology and Intelligent Transport Systems","location":"Online Streaming","end_date":"2021-04-30"},"main_file_link":[{"url":"https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1"}],"date_updated":"2026-01-26T08:49:53Z","volume":7,"author":[{"orcid":"0000-0003-1183-4679","last_name":"Malena","full_name":"Malena, Kevin","id":"36303","first_name":"Kevin"},{"first_name":"Christopher","id":"38249","full_name":"Link, Christopher","last_name":"Link"},{"last_name":"Mertin","id":"13195","full_name":"Mertin, Sven","first_name":"Sven"},{"first_name":"Sandra","full_name":"Gausemeier, Sandra","id":"17793","last_name":"Gausemeier"},{"first_name":"Ansgar","full_name":"Trächtler, Ansgar","id":"552","last_name":"Trächtler"}],"place":"Portugal","intvolume":"         7","page":"386-395","citation":{"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.","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.","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} }","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.","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."},"publication_identifier":{"isbn":["978-989-758-513-5"]},"publication_status":"published","related_material":{"link":[{"relation":"confirmation","url":"https://www.scitepress.org/PublicationsDetail.aspx?ID=3xZWfOSENWk=&t=1"}],"record":[{"status":"public","relation":"is_continued_by","id":"33849"}]},"_id":"24159","project":[{"name":"Pilotprojekt \"Schlosskreuzung\"","_id":"688"}],"department":[{"_id":"153"}],"user_id":"36303","series_title":"VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems","status":"public","type":"conference"},{"language":[{"iso":"eng"}],"publication":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","abstract":[{"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.","lang":"eng"}],"date_created":"2021-09-10T12:45:25Z","publisher":"IEEE","title":"Validation of an Online State Estimation Concept for Microscopic Traffic Simulations◆","year":"2021","user_id":"36303","department":[{"_id":"153"}],"project":[{"_id":"688","name":"Pilotprojekt \"Schlosskreuzung\""}],"_id":"24166","type":"conference","status":"public","author":[{"first_name":"Kevin","full_name":"Malena, Kevin","id":"36303","last_name":"Malena","orcid":"0000-0003-1183-4679"},{"first_name":"Christopher","id":"38249","full_name":"Link, Christopher","last_name":"Link"},{"full_name":"Mertin, Sven","id":"13195","last_name":"Mertin","first_name":"Sven"},{"first_name":"Sandra","id":"17793","full_name":"Gausemeier, Sandra","last_name":"Gausemeier"},{"first_name":"Ansgar","id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler"}],"oa":"1","date_updated":"2026-01-26T08:50:10Z","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9490087","open_access":"1"}],"doi":"10.1109/itec51675.2021.9490087","conference":{"end_date":"2021-05-25","name":"2021 IEEE Transportation Electrification Conference & Expo (ITEC)","start_date":"2021-05-21"},"related_material":{"link":[{"relation":"confirmation","url":"https://ieeexplore.ieee.org/document/9490087"}]},"publication_status":"published","publication_identifier":{"isbn":["978-1-7281-7584-3"]},"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>","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>.","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} }","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.","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>.","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>"},"place":"Chicago, IL, USA "},{"language":[{"iso":"eng"}],"user_id":"24876","department":[{"_id":"153"}],"_id":"22966","status":"public","type":"conference","publication":"The 23rd IEEE International Conference on Intelligent Transportation Systems","title":"Macroscopic Traffic Flow Control using Consensus Algorithms","date_created":"2021-08-09T05:16:51Z","author":[{"last_name":"Mertin","id":"13195","full_name":"Mertin, Sven","first_name":"Sven"},{"id":"36303","full_name":"Malena, Kevin","last_name":"Malena","first_name":"Kevin"},{"last_name":"Link","id":"38249","full_name":"Link, Christopher","first_name":"Christopher"},{"id":"17793","full_name":"Gausemeier, Sandra","last_name":"Gausemeier","first_name":"Sandra"},{"first_name":"Ansgar","id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler"}],"volume":23,"publisher":"International Conference on Intelligent Transportation Systems (ITSC)","date_updated":"2022-01-06T06:55:44Z","citation":{"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} }","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.","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.","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.","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.","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."},"intvolume":"        23","place":"https://www.ieee-itsc2020.org/","year":"2020"}]