A forward monitoring apparatus is installed on a train, and includes: a monitoring unit that monitors a situation ahead of the train; a storage unit that stores map information including information on a position of a track, a shape of the track, and a position of a turnout provided on the track; a train position acquisition unit that acquires train position information indicating a position of the train; a route information acquisition unit that acquires open route information including information for indicating an open direction of the turnout located ahead of the train; and a monitoring direction determination unit that determines a direction to be monitored by the monitoring unit, by using the open route information acquired, the train position information acquired, and the map information being stored in the storage unit.

A vehicle control system includes a controller disposed onboard a first vehicle system and comprising one or more processors. The controller is operably connected to a propulsion and braking subsystem of the first vehicle system. The controller is configured to analyze a notification message received from an off-board source as the first vehicle system travels on a route. The notification message identifies an unplanned brake application made by a second vehicle system. In response to the notification message, the controller is configured to control the propulsion and braking subsystem to modify movement of the first vehicle system based at least in part on a location of the second vehicle system to avoid the second vehicle system.

The train detection system comprises a wireless communication network further comprising train detection modules attached to catenary poles at the entrance and exit of the railyard. Each train detection module is equipped with a plurality of diverse sensors configured to detect trains and other on-track vehicles. The diverse sensors are simultaneously active and work together for detecting an approaching or leaving train. The train detection modules generate train alerts which are transmitted wirelessly over the wireless communication network. Each of the railyard workers wears a personal alert device capable of wirelessly connecting with the train detection modules and receiving the train alerts over the said wireless communication network. The train alert modules are capable of transmitting alerts wirelessly to personal alert devices and other train alert modules. Train alert modules are capable of generating audio visual warnings for any personnel which may not be equipped with personal alert module.

A train-information management device mounted on a train, includes: an intra-block position calculator to convert information on a kilometrage that indicates a position of the train into information on a block number and an intra-block position of a plurality of blocks into which a route of the train is divided and that are used when a train position is specified by a train radio system; and an on-board router to communicate the information on the block number and the intra-block position to a ground side by using a system that is different from a system that is used for communication between the ground side and a train side via a radio base station in the train radio system.

A vehicle-position monitoring system includes liquid-capacitive inclinometer sensor, configured to provide a measurement of grade (θ.sub.grade) of a surface over which a vehicle travels, and an accelerometer to measure acceleration of the vehicle along a principal axis (a.sub.x) of the vehicle along the surface. Direct measurement of the grade (θ.sub.grade) provides a position-tracking system with accurate information to extract acceleration due to motoring and braking (a.sub.MB) from acceleration experienced along the principal axis and track vehicle position without regard to wheel diameter calibration.

A system (e.g., a target activation system for a transportation network) includes one or more processors configured to be operably coupled onboard a vehicle system having one or more vehicles. The processor(s) are further configured to determine an estimated time of arrival of the vehicle system at a first target location associated with a forward route of the vehicle system, determine a gap time between when the vehicle system leaves the first target location and is estimated to arrive at a second target location, and, based at least in part on the estimated time of arrival, a dwell time of the vehicle system at the first target location, the gap time, an allowable speed or acceleration of the vehicle system, and a designated warning time, generate an activation message configured to control at least one device associated with the second target location.

The vehicle odometry and motion direction system and method is described. The vehicle odometry and motion direction system and method determines if the first ground speed data is acceptable. Ground speed data is calculated for all targets within a radar's field of view and targets ground speed data is processed to determine second ground speed data. The vehicle odometry and motion direction system and method determines trusted ground speed data using first ground speed data and second ground speed data and adjusts the trusted ground speed data due to errors in radar Doppler speed data.

The invention provides a signal redundancy control system. The system includes multiple first signal collecting devices, second signal collecting devices and a controller, wherein the multiple first signal collecting devices are configured to collect the dynamic information of default devices where the first signal collecting devices are located in real time; one second signal collecting device corresponding to each of the first signal collecting devices is disposed on each default device, and is configured to collect the dynamic information of the default device where the second signal collecting device is located in real time; the controller is configured to determine whether the first signal collecting devices include fault information or not, and positions each default device according to the dynamic information acquired by the first signal collecting devices or the second signal collecting devices.

A method may include detecting a first pressure and a second pressure of a fluid in a brake pipe of a vehicle system that includes a plurality of vehicles and extends from a lead vehicle to an end vehicle. The first pressure may be measured in the lead vehicle and the second pressure may be measured in the end vehicle. The method may further include determining a pressure differential signature between the first pressure and the second pressure and evaluating the pressure differential signature with a machine learning model to determine whether a blockage or a leak exists in the brake pipe. A system may include one or more processors configured to detect a first pressure and a second pressure of a fluid in a brake pipe. The one or more processors may be further configured to determine a pressure differential signature between the first pressure and the second pressure and evaluate the pressure differential signature with a machine learning model to determine whether a blockage exists in the brake pipe.

A method operates a track-bound traffic system which in a particularly efficient manner and at the same time with a comparably low degree of complexity allows the position of at least one vehicle end of a track-bound vehicle to be ascertained. For this purpose, the method is carried out such that a track-side device transmits first information which directly or indirectly characterizes the location of the track-side device and second information which directly or indirectly characterizes the travel direction of a track-bound vehicle. The first and second information is received by the track-bound vehicle at the location of the track-side device; and a position of at least one vehicle end of the track-bound vehicle is ascertained by the track-bound vehicle on the basis of the received first and second information.