Abstract
This paper deals with optimization strategies in cooperative System-of-Systems. Intelligent systems which want to collaborate need to align their behaviour with respect to individual and group goals. We derive a methodology to generate optimization functions for group members and to normalize them across the fleet. We consider the example of autonomous cars driving in a platoon. For this example we show to derive optimal vehicle speed and distances based on individual preferences. We describe a prototypical implementation of our approach and give some experimental results.
This research was funded by the Federal Ministry of Education and Research (BMBF-WIR!) within the PEELIKAN-project and by the Berlin Institute for Applied Research (IFAF Berlin) within the CARS-project.
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References
Ensemble: ENSEMBLE project: the new frontier of multi-brand truck platooning — Platooning Ensemble (2023). https://platooningensemble.eu/news/ensembleprojectthenewfrontierofmultibrandtruckplatooning61a4eec1f0507. Accessed 11 Apr 2023
Faraj, M., Sancar, F.E., Fidan, B.: Platoon-based autonomous vehicle speed optimization near signalized intersections. In: 2017 IEEE Intelligent Vehicles Symposium (IV), pp. 1299–1304 (2017). https://doi.org/10.1109/IVS.2017.7995891
Gan, E., Fong, M., Ng, Y.L.: CFD Analysis of slipstreaming and side drafting techniques concerning aerodynamic drag in NASCAR racing. CFD Letters 12, 116 (2020). https://doi.org/10.37934/cfdl.12.7.116
Gür, Ş, Eren, T.: Scheduling and planning in service systems with goal programming: literature review. Mathematics 6(11), 265 (2018). https://doi.org/10.3390/math6110265
Hu, M., Zhao, X., Hui, F., Tian, B., Xu, Z., Zhang, X.: Modeling and analysis on minimum safe distance for platooning vehicles based on field test of communication delay. J. Adv. Transp. 2021, 1–15 (2021). https://doi.org/10.1155/2021/5543114
Kühlwein, J.: Driving resistances of light-duty vehicles in Europe: present situation, trends, and scenarios for 2025. https://theicct.org/sites/default/files/publications/ICCT_LDV-Driving-Resistances-EU_121516.pdf. Accessed 21 Apr 2023
Kumari, J.R.: Optimization techniques - a review. Int. J. Eng. Res. Appl. 6(11), 01–05 (2016). https://www.ijera.com/papers/Vol6_issue11/Part-4/A0611040105.pdf. Accessed 21 Apr 2023
Löhe, U.: Geschwindigkeiten auf der Bundesautobahn in den Jahren 2010 bis 2014. Tech. rep., Bundesanstalt für Straßenwesen (2016). https://opus4.hbz-nrw.de/opus45-bast/frontdoor/deliver/index/docId/2612/file/Geschwindigkeiten-BAB-2010-2014.pdf.pdf. Accessed 12 Apr 2023
Scholz, D.: Multikriterielle optimierung. In: Optimierung interaktiv, pp. 169–187. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-57953-4_7
Sinrich, D.: An architectural blueprint for autonomic computing (2005). https://www-03.ibm.com/autonomic/pdfs/AC%20Blueprint%20White%20Paper%20V7.pdf. Accessed 15 Apr 2023
Sturm, T., Krupitzer, C., Segata, M., Becker, C.: A taxonomy of optimization factors for platooning. IEEE Trans. Intell. Transp. Syst. 22(10), 6097–6114 (2021). https://doi.org/10.1109/TITS.2020.2994537
Wang, F., Zhuang, W., Yin, G., Liu, S., Liu, Y., Dong, H.: Robust inter-vehicle distance measurement using cooperative vehicle localization. Sensors 21(6), 2048 (2021). https://doi.org/10.3390/s21062048
Wasserburger, A., Schirrer, A., Hametner, C.: Stochastic optimization for energy-efficient cooperative platooning. In: 2019 IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1–6 (2019). https://doi.org/10.1109/VPPC46532.2019.8952431
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Wudka, B., Thomas, C., Schlingloff, BH. (2023). A Cooperative Decentralised Optimization Method for Vehicle Platooning. In: Jove, E., Zayas-Gato, F., Michelena, Á., Calvo-Rolle, J.L. (eds) Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-031-38616-9_8
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DOI: https://doi.org/10.1007/978-3-031-38616-9_8
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