A Literature Review of Energy Optimal Adaptive Cruise Control Algorithms

Transportation sector and its impacts on climate change have received much attention over the last decade. Energy-optimal vehicle control algorithms such as adaptive cruise can potentially reduce fuel consumption consequential environmental impacts. Adaptive optimize vehicles’ speed to lower energy considering several constraints, including safety, stability, comfortability. A wide range of with different objectives optimization mechanisms been reported in literature. Due high diversity constraints objectives, a comprehensive study these is required. In recent literature reviews, there no summary algorithms’ features, classes, objectives. This paper presents holistic review energy-optimal algorithms. We gathered relevant publications from well-eminent journals. Information number will be presented provide data used references. For each paper, classes were extracted. Then classification based suggested, mathematical formulas representative studies are summarized required knowledge regarding modeling this field. The provides useful insight into development systems research field, revealing those scientific actors (i.e., authors, developers, institutions) that made biggest contribution development.