Ergebnisse
M. Gütlein and A. Djanatliev, "On-demand Simulation of Future Mobility Based on Apache Kafka," in International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Springer, Cham. 2022, pp. 18-41, doi: 10.1007/978-3-030-84811-8_2
B. Metzger, L. Kessler, M. Margreiter, and K. Bogenberger, "Increasing Freeway Network Resilience by Advanced Congestion Pattern Analytics," in PIARC XVI World Winter Service and Road Resilience Congress, 2022.
L. Kessler and K. Bogenberger, "Detection Rate of Congestion Patterns Comparing Multiple Traffic Sensor Technologies," in 101st Annual Meeting of the Transportation Research Board (TRB), 2022.
M. Gütlein, R. German and A. Djanatliev, "Hide Your Model! Layer Abstractions for Data-Driven Co-Simulations," 2021 Winter Simulation Conference (WSC), 2021, pp. 1-12, doi: 10.1109/WSC52266.2021.9715317.
L. Kessler, F. Rempe, and K. Bogenberger, "Multi-Sensor Data Fusion for Accurate Traffic Speed and Travel Time Reconstruction," in Frontiers in Future Transportation 2, 2021, doi: 10.3389/ffutr.2021.766951.
M. Gütlein, W. Baron, C. Renner and A. Djanatliev, "Performance Evaluation of HLA RTI Implementations," in Proc. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2020, pp. 1-8, doi: 10.1109/DS-RT50469.2020.9213641.
M. Gütlein and A. Djanatliev, "Modeling and Simulation as a Service using Apache Kafka," in Proc. of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH 2020, 2020, pp 171-180, doi: 10.5220/0009780501710180.
L. Kessler, B. Karl and K. Bogenberger, "Congestion Hot Spot Identification using Automated Pattern Recognition," in Proc. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020, pp. 1-7, doi: 10.1109/ITSC45102.2020.9294598.
M. R. Alam, I. Gerostathopoulos, C. Prehofer, A. Attanasi, and T. Bures, "A Framework for Tunable Anomaly Detection," in Proc. 2019 IEEE International Conference on Software Architecture (ICSA), 2019, pp. 201-210, doi: 10.1109/ICSA.2019.00029.
E. M. Fredericks, I. Gerostathopoulos, C. Krupitzer, and T. Vogel, "Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations," in Proc. 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), 2019, pp. 1-10, doi: 10.1109/SASO.2019.00010.
I. Gerostathopoulos and E. Pournaras, "TRAPPed in Traffic? A Self-Adaptive Framework for Decentralized Traffic Optimization," in Proc. of 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'19), 2019, doi: 10.1109/SEAMS.2019.00014.