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Article

Combining a Genetic Algorithm and a Fuzzy System to Optimize User Centricity in Autonomous Vehicle Concept Development

Institute of Automotive Technology, Technical University of Munich, Boltzmannstraße 15, 85748 Garching, Germany
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Academic Editor: William T. Scherer
Systems 2021, 9(2), 25; https://doi.org/10.3390/systems9020025
Received: 26 February 2021 / Revised: 1 April 2021 / Accepted: 6 April 2021 / Published: 8 April 2021
The megatrends of individualization and sharing will dramatically change our consumer behavior. The needs of a product’s users will be central input for its development. Current development processes are not suitable for this product development; thus, we propose a combination of a genetic algorithm and a fuzzy system for user-centered development. We execute our new methodological approach on the example of autonomous vehicle concepts to demonstrate its implementation and functionality. The genetic algorithm minimizes the required number of vehicle concepts to satisfy the mobility needs of a user group, and the fuzzy system transfers user needs into vehicle-related properties, which are currently input for vehicle concept development. To present this method, we use a typical family and their potential mobility behavior. Our method optimizes their minimal number of vehicle concepts to satisfy all mobility needs and derives the properties of the vehicle concepts. By integrating our method into the entire vehicle concept development process, autonomous vehicles can be designed user-centered in the context of the megatrends of individualization and sharing. In summary, our method enables us to derive an optimized number of products for qualitatively described, heterogeneous user needs and determine their product-related properties. View Full-Text
Keywords: optimization; genetic algorithm; multi-criteria decision methods; fuzzy logic; future product development; user needs; user centricity; autonomous vehicle concept development optimization; genetic algorithm; multi-criteria decision methods; fuzzy logic; future product development; user needs; user centricity; autonomous vehicle concept development
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MDPI and ACS Style

Schockenhoff, F.; Zähringer, M.; Brönner, M.; Lienkamp, M. Combining a Genetic Algorithm and a Fuzzy System to Optimize User Centricity in Autonomous Vehicle Concept Development. Systems 2021, 9, 25. https://doi.org/10.3390/systems9020025

AMA Style

Schockenhoff F, Zähringer M, Brönner M, Lienkamp M. Combining a Genetic Algorithm and a Fuzzy System to Optimize User Centricity in Autonomous Vehicle Concept Development. Systems. 2021; 9(2):25. https://doi.org/10.3390/systems9020025

Chicago/Turabian Style

Schockenhoff, Ferdinand, Maximilian Zähringer, Matthias Brönner, and Markus Lienkamp. 2021. "Combining a Genetic Algorithm and a Fuzzy System to Optimize User Centricity in Autonomous Vehicle Concept Development" Systems 9, no. 2: 25. https://doi.org/10.3390/systems9020025

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