Driving semi-automated vehicles at close distances, called platooning, emerges as a promising strategy to address conflicts associated with the ever-increasing traffic volumes on German highways by optimizing fuel consumption and road utilization. Mapping the architecture of a self-adaptive system to platooning, a fully central coordination of vehicles would introduce a potential bottleneck, while fully decentralized decision-making might lead to conflicting adaptations. Therefore, this project aims to establish a hybrid self-adaptive and self-organizing system that is robust with micro-level autonomic adaptation decisions while centrally optimizing the decision-making.


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    Title :

    Many-Objective Centralized Adaptation Planning: Towards Hybrid Self-Adaptive and Self-Organizing Systems


    Contributors:


    Publication date :

    2024-09-16


    Size :

    319912 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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