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- W4226248859 abstract "Abstract Automated driving, in general, and platooning, in particular, represent a highly active field of research. The idea to automate traffic is closely related to high expectations in both individual and public transport. However, the complexity of automated driving requires methods beyond the traditional development approaches. This chapter describes a state-of-the-art methodology to organise and systematically address a comprehensive set of research questions in the context of truck platooning. Following best practices, an evaluation design is presented, which ensures the alignment of research efforts with the actual research agenda, that is, to answer the right questions. Specifically, the benefits of automated driving and their conflicting relationships are explored and the entities that affect automated driving performance and their interactions are presented. Finally, a solution concept that adequately addresses the complexity and the stochastic nature of the problem is presented. The solution concept consists of several key methods such as scenario-based design and stochastic simulation, data mining and complexity and robustness management." @default.
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- W4226248859 date "2022-01-01" @default.
- W4226248859 modified "2023-09-25" @default.
- W4226248859 title "Research Design and Evaluation Strategies for Automated Driving" @default.
- W4226248859 doi "https://doi.org/10.1007/978-3-030-88682-0_4" @default.
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