Description
Product Category : User Cases
Format : PDF
Balancing Train Capacity with AI-Driven Demand Insights.
AI models for passenger demand forecasting use historical travel data, seasonal trends, and event information to predict future passenger volumes. These insights enable railway companies to allocate resources more effectively, adjust schedules, and optimize train capacity, ensuring that supply matches demand and enhancing the passenger experience.
