Driver Advice System (DAS)
Context: to this day, train control is entrusted to the driver, who relies on his experience and skills. However, with the proliferation of data-driven decision-making, it is believed that trains could be managed much more efficiently based on a variety of real-time data.
Possible solution: the organization needs an efficient train control (Driver Advice System – DAS, acceleration, cruise control, braking, adherence to a schedule, etc.) in order to save energy (electricity, fuel). It is a system that helps the driver make more efficient decisions.