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Foto: LDM

Foto: LDM

Foto: @AdobeStock/Gorodenkoff

Foto: © AdobeStock/Gorodenkoff

Foto: @ Fraunhofer IOSB-INA

Foto: © AdobeStock/Gorodenkoff

Foto: @ Fraunhofer IEM

Foto: @ Heinz Nixdorf Institut

Foto: @ Heinz Nixdorf Institut

Foto: @ Heinz Nixdorf Institut

Foto: @AdobeStock/Gorodenkoff

Dr.-Ing. Sandra Gausemeier

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Publikationen
Dr.-Ing. Sandra Gausemeier

Regelungstechnik und Mechatronik / Heinz Nixdorf Institut

Oberingenieurin - Akademische Rätin - Teamleitung Fahrerassistenzsysteme

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+49 5251 60-6288
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F0.332
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33102 Paderborn

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2021

Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*

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, 2021, pp. 386-395

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.


Validation of an Online State Estimation Concept for Microscopic Traffic Simulations◆

K. Malena, C. Link, S. Mertin, S. Gausemeier, A. Trächtler, in: 2021 IEEE Transportation Electrification Conference & Expo (ITEC), IEEE, 2021

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.


Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator

P. Biemelt, S. Böhm, S. Gausemeier, A. Trächtler, in: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 1619 - 1626


2020

Design and Objective Evaluation of Filter- and Optimization-based Motion Cueing Strategies for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom

P. Biemelt, S. Gausemeier, A. Trächtler, International Journal On Advances in Systems and Measurements (2020), 13(3 & 4), pp. 203-219


Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom

P. Biemelt, S. Mertin, N. Rüddenklau, S. Gausemeier, A. Trächtler, in: Proceedings of the Driving Simulation Conference Europe VR, Driving Simulation Association, 2020, pp. 85-92


Macroscopic Traffic Flow Control using Consensus Algorithms

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), 2020


A Model-Based Online Reference Prediction Strategy for Model Predictive Motion Cueing Algorithms

P. Biemelt, C. Link, S. Gausemeier, A. Trächtler, in: Proceedings of the 21st IFAC World Congress, 2020, pp. 6082 - 6088


2019

Objective Evaluation of a Novel Filter-Based Motion Cueing Algorithm in Comparison to Optimization-Based Control in Interactive Driving Simulation

P. Biemelt, S. Mertin, N. Rüddenklau, S. Gausemeier, A. Trächtler, in: Proceedings of the International Conference on Advances in System Simulation (SIMUL), IARIA, 2019


Simulation-Based Lighting Function Development of High-Definition Headlamps

N. Rüddenklau, P. Biemelt, S. Mertin, S. Gausemeier, A. Trächtler, in: 13th International Symposium on Automotive Lighting (ISAL), utzverlag GmbH, 2019, pp. 677-686


Proof-of-Concept einer komplexen Co-Simulationsumgebung für einen Fahrsimulator zur Untersuchung von Car2X-Kommunikations-Szenarien

S. Mertin, D. Buse, M. Franke, A. Trächtler, S. Gausemeier, F. Dressler, in: VDI/VDE AUTOREG 2019, VDI Verlag Düsseldorf, 2019, pp. 159-170


Hardware-in-the-Loop Simulation of High-Definition Headlamp Systems

N. Rüddenklau, S. Gausemeier, A. Trächtler, in: VDI/VDE AUTOREG 2019, VDI- Verlag, Düsseldorf, 2019


Real-Time Lighting of High-Definition Headlamps for Night Driving Simulation

N. Rüddenklau, P. Biemelt, S. Mertin, S. Gausemeier, A. Trächtler, in: IARIA SysMea, IARIA, 2019, pp. 72-88


2018

Shader-Based Realtime Simulation of High-Definition Automotive Headlamps

N. Rüddenklau, P. Biemelt, S. Henning, S. Gausemeier, A. Trächtler, in: SIMUL 2018, The Tenth International Conference on Advances in System Simulation, IARIA, 2018


A Simulation Framework for Testing a Conceptual Hierarchical Autonomous Traffic Management System including an Intelligent External Traffic Simulation

S. Henning, P. Biemelt, N. Rüddenklau, S. Gausemeier, A. Trächtler, in: Proceedings of the DSC 2018 Europe VR: New trends in Human in the Loop simulation and testing. Driving simulation and VR, Driving Simulation Association, 2018, pp. 91-98


A Model Predictive Motion Cueing Strategy for a 5-Degree-of-Freedom Driving Simulator with Hybrid Kinematics

P. Biemelt, S. Henning, N. Rüddenklau, S. Gausemeier, A. Trächtler, in: Proceedings of the Driving Simulation Conference Europe VR (DSC), 2018, pp. 79-85


2017

An Application-Oriented Design Method for Networked Driving Simulation

K. Abdelgawad, J. Gausemeier, A. Trächtler, S. Gausemeier, R. Dumitrescu, J. Berssenbrügge, J. Stöcklein, M. Grafe, Designs ‒ International Journal of Engineering Designs, Band 1 (2017), 1, pp. 6.1-6.47


Modellbasierte Untersuchung der Zuverlässigkeit algorithmisch bestimmter kritischer Stellen in Straßennetzwerken

S. Henning, P. Biemelt, K. Abdelgawad, S. Gausemeier, A. Trächtler, in: VDI/VDE (AUTOREG 2017), VDI-Verlag, Düsseldorf, 2017


Networked Driving Simulation for Future Autonomous and Cooperative Vehicle Systems

K. Abdelgawad, S. Henning, P. Biemelt, S. Gausemeier, A. Trächtler, in: VDI/VDE (AUTOREG 2017), VDI-Verlag, Düsseldorf, 2017


Methodology for Determining Critical Locations in Road Networks based on Graph Theory

S. Henning, P. Biemelt, K. Abdelgawad, S. Gausemeier, A. Trächtler, in: IFAC World Congress 2017, IFAC, 2017


2016

Advanced Traffic Simulation Framework for Networked Driving Simulators

K. Abdelgawad, S. Henning, P. Biemelt, S. Gausemeier, A. Trächtler, in: AAC2016 (IFAC), 8th IFAC Symposium on Advances in Automotive Control (AAC 2016), IFAC, 2016


2015

Flexible Operation Workflow of a Driving Simulation Center for ADAS Development

K. Abdelgawad, B. Hassan, A. Kohlstedt, J. Stöcklein, J. Berssenbrügge, M. Grafe, S. Gausemeier, K. Jäker, A. Trächtler, in: New Developments in Driving Simulation Design and Experiments, Driving Simulation Conference, 2015


Flexible Operation Workflow of a Driving Simulation Center for ADAS Development

K. Abdelgawad, B. Hassan, A. Kohlstedt, J. Stöcklein, J. Berssenbrügge, M. Grafe, S. Gausemeier, K. Jäker, A. Trächtler, in: New Developments in Driving Simulation Design and Experiments, Driving Simulation Conference, 2015


Entwicklung eines prädiktiven Motion-Cueing-Verfahrens für den ATMOS-Fahrsimulator

D. Zimmermann, A. Kohlstedt, S. Gausemeier, A. Trächtler, in: 12. Paderborner Workshop Augmented & Virtual Reality in der Produktentstehung, Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2015, pp. 261-272


2014

Subjective Evaluation of Different Motion Cueing Algorithms Implemented on ATMOS Driving Simulator

I. Al Qaisi, D. Zimmermann, A. Kohlstedt, S. Gausemeier, A. Trächtler, in: Driving Simulation Conference 2014, 2014


2012


Fahrerassistenzsystem für energie- und zeitoptimales Fahren durch prädiktive Geschwindigkeitsprofil-Planung

S. Gausemeier, A. Trächtler, K. Jäker, 13. Braunschweiger Symposium AAET (2012)


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