@misc{56827,
  abstract     = {{Zusammenfassung: Die Erfindung betrifft ein Verkehrsleitsystem für die Steuerung von Lichtsignalanlagen aufweisend:
• Eingänge für Verkehrszustandsermittlungsverfahren abhängig von verschiedenen Sensoren, wobei die Sensoren einen aktuellen Verkehrszustand eines zugeordneten Verkehrsabschnitts ermitteln,
• Statusregister, die den aktuellen Status der gesteuerten Lichtsignalanlagen speichern,
• Phasenregister, die alle möglichen Verkehrsleitphasen, die durch die Lichtsignalanlagen angesteuert werden können, speichern,
• 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,
• 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,
• wobei die so ermittelte prädiktive zeitliche Phasensteuerung keine, eine oder mehrere zu schaltenden Folgephasen mit den ermittelten Schaltzeitpunkten aufweist,
• 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.}},
  author       = {{Malena, Kevin and Link, Christopher and Gausemeier, Sandra and Trächtler, Ansgar}},
  title        = {{{Vorrichtung und Verfahren zur echtzeit-basierten dynamischen Verkehrszuordnung für zumindest zwei nachfolgende Fahrbahnen}}},
  year         = {{2023}},
}

@inbook{33849,
  abstract     = {{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       = {{Malena, Kevin and Link, Christopher and Bußemas, Leon and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Communications in Computer and Information Science}},
  editor       = {{Klein, Cornel and Jarke, Mathias and Helfert, Markus and Berns, Karsten and Gusikhin, Oleg}},
  isbn         = {{9783031170973}},
  issn         = {{1865-0929}},
  keywords     = {{Traffic control, Traffic estimation, Real-time, MPC, Fuzzy, Isolated intersection, Networked intersection, Sensor fusion}},
  pages        = {{232–254}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments}}},
  doi          = {{10.1007/978-3-031-17098-0_12}},
  volume       = {{1612}},
  year         = {{2022}},
}

@inproceedings{23576,
  author       = {{Biemelt, Patrick and Böhm, Sabrina and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)}},
  location     = {{Melbourne, Australia}},
  pages        = {{1619 -- 1626}},
  title        = {{{Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator}}},
  year         = {{2021}},
}

@inproceedings{24159,
  abstract     = {{The online fitting of a microscopic traffic simulation model to reconstruct the current state of a real traffic
area can be challenging depending on the provided data. This paper presents a novel method based on limited
data from sensors positioned at specific locations and guarantees a general accordance of reality and
simulation in terms of multimodal road traffic counts and vehicle speeds. In these considerations, the actual
purpose of research is of particular importance. Here, the research aims at improving the traffic flow by
controlling the Traffic Light Systems (TLS) of the examined area which is why the current traffic state and
the route choices of individual road users are the matter of interest. An integer optimization problem is derived
to fit the current simulation to the latest field measurements. The concept can be transferred to any road traffic
network and results in an observation of the current multimodal traffic state matching at the given sensor
position. First case studies show promosing results in terms of deviations between reality and simulation.}},
  author       = {{Malena, Kevin and Link, Christopher and Mertin, Sven and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems}},
  isbn         = {{978-989-758-513-5}},
  keywords     = {{Microscopic Traffic Simulation, Online State Estimation, Mixed Road Users, Sensor Fusion, Integer Programming, Route Choice, Vehicle2Infrastructure}},
  location     = {{Online Streaming}},
  pages        = {{386--395}},
  publisher    = {{SCITEPRESS}},
  title        = {{{Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*}}},
  volume       = {{7}},
  year         = {{2021}},
}

@inproceedings{24166,
  abstract     = {{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       = {{Malena, Kevin and Link, Christopher and Mertin, Sven and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{2021 IEEE Transportation Electrification Conference & Expo (ITEC)}},
  isbn         = {{978-1-7281-7584-3}},
  publisher    = {{IEEE}},
  title        = {{{Validation of an Online State Estimation Concept for Microscopic Traffic Simulations◆}}},
  doi          = {{10.1109/itec51675.2021.9490087}},
  year         = {{2021}},
}

@article{22963,
  author       = {{Biemelt, Patrick and Gausemeier, Sandra and Trächtler, Ansgar}},
  journal      = {{International Journal On Advances in Systems and Measurements}},
  number       = {{3 & 4}},
  pages        = {{203--219}},
  title        = {{{Design and Objective Evaluation of Filter- and Optimization-based Motion Cueing Strategies for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom}}},
  volume       = {{13}},
  year         = {{2020}},
}

@inproceedings{22964,
  author       = {{Biemelt, Patrick and Mertin, Sven and Rüddenklau, Nico and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the Driving Simulation Conference Europe VR}},
  location     = {{Antibes, France}},
  pages        = {{85--92}},
  publisher    = {{Driving Simulation Association}},
  title        = {{{Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom}}},
  year         = {{2020}},
}

@inproceedings{22966,
  author       = {{Mertin, Sven and Malena, Kevin and Link, Christopher and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{The 23rd IEEE International Conference on Intelligent Transportation Systems}},
  publisher    = {{International Conference on Intelligent Transportation Systems (ITSC)}},
  title        = {{{Macroscopic Traffic Flow Control using Consensus Algorithms}}},
  volume       = {{23}},
  year         = {{2020}},
}

@inproceedings{22968,
  author       = {{Biemelt, Patrick and Link, Christopher and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 21st IFAC World Congress}},
  location     = {{Berlin, Germany}},
  pages        = {{6082 -- 6088}},
  title        = {{{A Model-Based Online Reference Prediction Strategy for Model Predictive Motion Cueing Algorithms}}},
  year         = {{2020}},
}

@inproceedings{22970,
  author       = {{Biemelt, Patrick and Mertin, Sven and Rüddenklau, Nico and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the International Conference on Advances in System Simulation (SIMUL)}},
  location     = {{Valencia, Spain}},
  publisher    = {{IARIA}},
  title        = {{{Objective Evaluation of a Novel Filter-Based Motion Cueing Algorithm in Comparison to Optimization-Based Control in Interactive Driving Simulation}}},
  year         = {{2019}},
}

@inbook{22971,
  author       = {{Rüddenklau, Nico and Biemelt, Patrick and Mertin, Sven and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{13th International Symposium on Automotive Lighting (ISAL)}},
  pages        = {{677--686}},
  publisher    = {{utzverlag GmbH}},
  title        = {{{Simulation-Based Lighting Function Development of High-Definition Headlamps}}},
  volume       = {{18}},
  year         = {{2019}},
}

@inproceedings{22972,
  author       = {{Mertin, Sven and Buse, Dominik and Franke, Mario and Trächtler, Ansgar and Gausemeier, Sandra and Dressler, Falko}},
  booktitle    = {{VDI/VDE AUTOREG 2019}},
  pages        = {{159--170}},
  publisher    = {{VDI Verlag Düsseldorf}},
  title        = {{{Proof-of-Concept einer komplexen Co-Simulationsumgebung für einen Fahrsimulator zur Untersuchung von Car2X-Kommunikations-Szenarien}}},
  year         = {{2019}},
}

@inbook{22973,
  author       = {{Rüddenklau, Nico and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{VDI/VDE AUTOREG 2019}},
  publisher    = {{VDI- Verlag, Düsseldorf}},
  title        = {{{Hardware-in-the-Loop Simulation of High-Definition Headlamp Systems}}},
  year         = {{2019}},
}

@inbook{22982,
  author       = {{Rüddenklau, Nico and Biemelt, Patrick and Mertin, Sven and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{IARIA SysMea}},
  pages        = {{72--88}},
  publisher    = {{IARIA}},
  title        = {{{Real-Time Lighting of High-Definition Headlamps for Night Driving Simulation}}},
  volume       = {{12}},
  year         = {{2019}},
}

@inproceedings{22986,
  author       = {{Rüddenklau, Nico and Biemelt, Patrick and Henning, Sven and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{SIMUL 2018, The Tenth International Conference on Advances in System Simulation}},
  publisher    = {{IARIA}},
  title        = {{{Shader-Based Realtime Simulation of High-Definition Automotive Headlamps}}},
  year         = {{2018}},
}

@inproceedings{22992,
  author       = {{Henning, Sven and Biemelt, Patrick and Rüddenklau, Nico and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the DSC 2018 Europe VR: New trends in Human in the Loop simulation and testing. Driving simulation and VR}},
  pages        = {{91--98}},
  publisher    = {{Driving Simulation Association}},
  title        = {{{A Simulation Framework for Testing a Conceptual Hierarchical Autonomous Traffic Management System including an Intelligent External Traffic Simulation}}},
  year         = {{2018}},
}

@inproceedings{23000,
  author       = {{Biemelt, Patrick and Henning, Sven and Rüddenklau, Nico and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the Driving Simulation Conference Europe VR (DSC)}},
  location     = {{Antibes, France}},
  pages        = {{79--85}},
  title        = {{{A Model Predictive Motion Cueing Strategy for a 5-Degree-of-Freedom Driving Simulator with Hybrid Kinematics}}},
  year         = {{2018}},
}

@inproceedings{23003,
  author       = {{Henning, Sven and Biemelt, Patrick and Abdelgawad, Kareem and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{VDI/VDE (AUTOREG 2017)}},
  publisher    = {{VDI-Verlag, Düsseldorf}},
  title        = {{{Modellbasierte Untersuchung der Zuverlässigkeit algorithmisch bestimmter kritischer Stellen in Straßennetzwerken}}},
  year         = {{2017}},
}

@inproceedings{23007,
  author       = {{Abdelgawad, Kareem and Henning, Sven and Biemelt, Patrick and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{VDI/VDE (AUTOREG 2017)}},
  publisher    = {{VDI-Verlag, Düsseldorf}},
  title        = {{{Networked Driving Simulation for Future Autonomous and Cooperative Vehicle Systems}}},
  year         = {{2017}},
}

@inproceedings{23017,
  author       = {{Henning, Sven and Biemelt, Patrick and Abdelgawad, Kareem and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{IFAC World Congress 2017}},
  publisher    = {{IFAC}},
  title        = {{{Methodology for Determining Critical Locations in Road Networks based on Graph Theory}}},
  year         = {{2017}},
}