Leading and trailing sensors compare route characteristics to identify damaged segments, eliminating dedicated inspection vehicles.
Segmenting wireless channels isolates critical movement commands from component status reports, preventing bandwidth contention.
Automated distance sensors replace manual observation to eliminate human error and ensure precise coupling safety.
Onboard inertial sensors determine train location and velocity to prevent derailments while resisting GPS spoofing.
Stationary bogie frame strain gauges measure wheel contact forces, avoiding damage from spring movement and stone chipping for reliable continuous monitoring.
A railway vehicle controller compares instantaneous speed against a time-based authorized curve to trigger braking.
A Temporary Speed Restriction Server automatically splits and distributes commands to train control centers.
An acoustic detection system replaces complex mechanical sensors to resolve installation difficulties while ensuring reliable real-time fault monitoring.
A rail vehicle door button unit integrates a contact sensor and a non-contact sensor to detect passenger presence for automatic door opening.
A vehicle control system determines reference speed using satellite and onboard data to manage axle torque.
Dynamic bandpass filtering distinguishes persistent roll from transient movements, preventing false alarms in driverless trains.
Auxiliary feeder circuit detects fire through heat-induced conductivity changes, preventing sensor burnout and false alarms from temperature variations.
Functional grouping of sensor readings minimizes redundant data transmission, reducing communication and storage burdens while maintaining database performance.
A vehicle-mounted module calculates extended stopping times using real-time data from neighboring trains to maintain scheduled spacing.
Combining distance measurements from multiple locomotives resolves orientation errors and varying response times in consist order determination.
Rail vehicles determine balise positions via onboard sensors, updating a central database to resolve complex manual measurement bottlenecks.
Optical imaging of rail vehicle couplings replaces fixed schedules with condition-based maintenance, reducing inspection downtime.