A Case Study on Optimization of Platooning Coordination

• DOI: 10.48550/arxiv.2111.09665
• Publication Date: 2021-01-01
• Authors: Veronika Lesch; Marius Hadry; Samuel Kounev; Christian Krupitzer
• Keywords: Adaptive strategies

In today's world, circumstances, processes, and requirements for software systems are becoming increasingly complex. order to operate properly in such dynamic environments, must adapt these changes, which has led the research area of Self-Adaptive Systems (SAS). Platooning is one example adaptive Intelligent Transportation Systems, ability vehicles travel with close inter-vehicle distances. This technology leads an increase road throughput safety, directly addresses increased infrastructure needs due traffic on roads. However, No-Free-Lunch theorem states that performance platooning coordination strategy not necessarily transferable other problems. Moreover, especially field SAS, selection most appropriate depends current situation system. this paper, we address problem self-aware optimization adaptation planning strategies by designing a framework includes detection, selection, parameter selected strategies. We apply our approach case study evaluate proposed framework.