This chapter presents a case study that develops, demonstrates, and evaluates an AI-driven decision-support framework for enhancing fuel efficiency in public transportation systems. Road transportation is a major source of emissions, and bus networks offer substantial opportunities to reduce energy use and GHG emissions while supporting sustainable mobility [1, 2, 317, 318]. Although research on AI-based transport efficiency has expanded, most studies pay limited attention to explainable, fleet-level decision support. To address this gap, this study applies the conceptual framework introduced in Chap. 5 and operationalizes it through the algorithms and sub-frameworks described in Chap. 6.