1. Relevante Forschungsaktivität

The Chair of Mechatronics works within the scope of the FSP on scientific contributions, which are based on methods for the recording of vehicle dynamics and consumption data in vehicle fleets in real use and on the application of advanced methods of "Machine Learning" and Simulation technology for their evaluation. These include:

• Recognition and modeling of driver behavior in selected traffic situations [1] [2].

• Methods for simulating vehicles, drivers and environmental traffic in real time.

• M-M interactions in autonomous and semi-autonomous driving including the handover situation from automated state back to the vehicle driver.

• Simulation of pedestrians and drivers / vehicles in real driving situations and use of methods for intentional prediction.

• Detection of the use of customer carriages in vehicle fleets by mobile data loggers [3] [4, 5].

• Hybrid simulation of traffic flow with more than 10,000 vehicles.

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2. Projects and Cooperations

• ALFASY (from 03/2017) - Design of vehicles for older drivers supported by ...

• Automated learning algorithms in mobile applications for the prediction of unknown states

• PREMIUM - Analysis of the use of vehicle fleets with electrified vehicles funded by the BMBU

• RuhrautoE- Use of electrified vehicles in CAR sharing systems.

3. Equipment facilities

• Several dynamically driven and static Driving Simulators, computer clusters.

• Approx. 700 own data loggers for central online recording of driving conditions.

4. Five Selected Publications or Patents

• [1] T. REHDER, W. MUENST, L. LOUIS, D. SCHRAMM, Learning Lane Change Intentions through Lane Contentedness Estimation from Demonstrated Driving, 19th IEEE Intelligent Transportation Systems Conference (ITSC 2016), Rio De Janeiro, Brasilien, 2016.

• [2] T. REHDER, Z. GEORGIEV, L. LOUIS, D. SCHRAMM, Effektive Nutzung von hochdimensionalen kontinuierlichen Daten Umfelddaten zur Prädiktion von Fahrverhalten mit Bayesschen Netzen, AAET 2015, Braunschweig, Deutsch, 2015.

• [3] M. KOPPERS, S. TEWIELE, D. SCHRAMM, Identifikation der Energieverteilung von Fahrantrieb und Nebenaggregaten in realen Fahrprofilen im Flottenbetrieb, Automotive meets Electronics, Dortmund, 2016, pp. 111-116.

• [4] M. SCHÜLLER, S. TEWIELE, T. BRUCKMANN, D. SCHRAMM, Evaluation of alternative drive systems based on driving patterns comparing Germany, China and Malaysia, 3rd International Conference on Recent Advances in Automotive Engineering & Mobility Research (ReCar), Malakka, Malaysia, 2015.

• [5] N. MAAS, M. KOPPERS, B. HESSE, D. SCHRAMM, Simulator setup according to use case scenarios - A human-oriented method for virtual development, Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on IEEE, Senigallia 2014.