By adding button identification to compressed train screen images, ground control can remotely operate onboard displays without full-screen data transfer.
A train controller generates hybrid plan profiles with synchronous and independent settings for locomotives.
An integrated system selects optimal multi-vehicle builds by simulating travel scenarios and evaluating consumption metrics.
Standardizing train control data through a centralized XML schema eliminates format translation complexity and enables scalable system integration.
Segmenting the transportation network reduces computational complexity for real-time conflict resolution while maintaining schedule reliability.
Controller switches between fuel efficiency and adhesion modes by speed, resolving trip plan adaptability contradictions.
A speed profile creation device generates optimized train travel paths by adjusting coasting sections and maximum speeds to minimize energy consumption.
Onboard system combines route and vehicle trip information to resolve standard PTC limitations by generating customized control parameters.
An energy management system calculates tractive effort thresholds to select propulsion vehicles based on fuel consumption and emission criteria.
A genetic algorithm generates train schedules by exchanging route information between selected initial populations to optimize railroad network operations.
A computer-implemented arrival time targeting system adjusts train speed dynamically to meet precise location targets.
A scheduling module generates revised movement plans to adjust vehicle arrival times and speeds.
A train safety system monitors real-time location via GPS to generate crew alerts.