The present invention provides methods for preventing low
train voltages and managing interference, thereby improving the efficiency, reliability, and passenger comfort associated with commuter trains. An
algorithm implementing neural network technology is used to predict low voltages before they occur. Once voltages are predicted, then multiple trains can be controlled to prevent
low voltage events. Further, algorithms for managing
inference are presented in the present invention. Different types of interference problems are addressed in the present invention such as “Interference During Acceleration”, “Interference Near
Station Stops”, and “Interference During
Delay Recovery.” Managing such interference avoids unnecessary
brake / acceleration cycles during acceleration, immediately before
station stops, and after substantial delays. Algorithms are demonstrated to avoid oscillatory
brake / acceleration cycles due to interference and to smooth the trajectories of closely following trains. This is achieved by maintaining sufficient following distances to avoid unnecessary braking / accelerating. These methods generate smooth
train trajectories, making for a more comfortable ride, and improve
train motor reliability by avoiding unnecessary mode-changes between propulsion and braking. These algorithms can also have a favorable
impact on traction power
system requirements and
energy consumption.