Taxi Providing Facility

Taxi-providing facilities are undergoing significant transformation driven by advancements in artificial intelligence and data analysis. Research focuses on optimizing dispatching algorithms to improve efficiency, reduce wait times, and minimize environmental impact, often employing heuristic approaches and incorporating economic compensation models for drivers. Furthermore, studies are exploring the use of federated learning to enhance privacy in demand prediction and investigating the broader societal implications of replacing private vehicles with autonomous ride-sharing systems. These advancements aim to improve urban mobility, sustainability, and the overall user experience.