Patent classifications
B61L25/025
Ultra-wideband based vital train tracking
Examples of techniques for vital train tracking using an ultra-wideband ranging system are disclosed. The system includes a train disposed on a track, the train having at least two onboard UWB beacons configured to broadcast a unique beacon identification number. The system also includes a plurality of wayside UWB beacons disposed along the track, a subset of the plurality of wayside UWB beacons being connected to a wayside communications network, wherein at least two of the plurality of wayside UWB beacons are configured to receive the unique beacon identification number. The system also includes a central computer in communication with the wayside communications network, wherein the central computer is configured to determine a position of the train on the track based at least in part upon known location of the at least two wayside UWB beacons.
COMPUTER IMPLEMENTED METHOD FOR DETERMINING RAILWAY VEHICLE MOVEMENT PROFILE TYPE OF A RAILWAY VEHICLE MOVEMENT PROFILE AND CONTROLLER OF A TRACK CIRCUIT SYSTEM
A computer implemented method is for determining railway vehicle movement profile type of a railway vehicle movement profile. The railway vehicle movement profile includes a sequence of measured transmitted currents of a transceiver of a track circuit with respect to the time. The method includes obtaining a railway vehicle movement profile, normalizing the railway vehicle movement profile, extracting one or more features from the normalized railway vehicle movement profile, determining the distance of the extracted features with respect to each centroid of a railway vehicle movement profile type determined in a classification process, and assigning the railway vehicle movement profile to the railway vehicle movement profile type with the closest centroid
Hyper-tube system using vehicle position detection
The present disclosure provides a hypertube system for detecting a position of a hypertube vehicle, including a hypertube vehicle, a tube configured to surround a travel path of the hypertube vehicle, At least one LiDAR sensor each mounted on an inner wall of the tube and including a laser transmitter configured to irradiate a laser beam toward the hypertube vehicle and a laser receiver configured to detect a laser, and a reflector configured to reflect the laser irradiated from the LiDAR sensor, wherein the reflector may be disposed in the hypertube vehicle, and wherein the laser beam reflected from the reflector reaches the laser receiver of the LiDAR sensor to be used in detecting the position of the hypertube vehicle.
ANTI-COLLISION METHOD AND APPARATUS FOR TRAINS IN COOPERATIVE FORMATION
The embodiments of the present application disclose an anti-collision method and apparatus for trains in a cooperative formation. The anti-collision method includes: determining whether it is necessary to control the current train to brake; determining whether a real-time distance between the current train and a previous adjacent train in the same formation as the current train is greater than a preset minimum safety distance; controlling, under a condition that the real-time distance is less than the preset minimum safety distance, the current train to perform electromagnetic braking; and calculating, under a condition that the real-time distance is greater than the preset minimum safety distance, a real-time safety distance between the current train and the previous adjacent train, and controlling, under a condition that the real-time distance is less than the real-time safety distance, the current train to brake.
Non-stop train with attaching and detaching train cars
A non-stop train system including a plurality of train cars in communication with one another and in communication with an electronic control module. The train system includes a track or any number of parallel tracks having a plurality of drop off and pick up locations. A prepositioned train car is stopped at one of the drop off and pick up locations. A non-stop express train approaches and passes by the drop off and pick up location on the track initiating the prepositioned train car to begin departure. The electronic control module is used to adjust the speed of the non-stop express train and the prepositioned train car based on a detected distance such that a rear coupler of the non-stop express train couples to the front coupler of the prepositioned train car while moving along the track.
PROCESSING SYSTEM AND METHOD FOR CARRYING OUT TRACK WORK
A processing system for carrying out track work includes a rail vehicle having a processing device and a monitoring device for defining and monitoring a permissible working space for the rail vehicle. The processing system further includes a position measuring device for determining a position of the rail vehicle. The rail vehicle is controlled to carry out the track work by using a control device in dependence on the determined position and the defined working space. A method for carrying out track work is also provided.
Control system for enforcing conditional authorities using vehicle-to-vehicle monitoring
A control system includes a first vehicle controller configured to be disposed onboard a first vehicle system moving along route segments and to receive a conditional movement authority that has a condition to be met before the first vehicle system can travel into a designated route segment of the route segments. The first vehicle controller is configured to communicate with a separate, second vehicle system to determine a state of the second vehicle system. The first vehicle controller is configured to determine whether the state of the second vehicle system satisfies the condition of the conditional movement authority. The first vehicle controller also is configured to permit movement of the first vehicle system into the designated route segment responsive to determining that the state of the second vehicle system satisfies the condition of the conditional movement authority.
Display of signal devices and safety device of a railway vehicle
A method for displaying secondary signal devices for a driver of a railway vehicle during a journey by a railway vehicle. From a current vehicle position of the railway vehicle and an already known signal position of a secondary signal device, an actual distance of the railway vehicle in relation to the secondary signal device is determined. In the case that the actual distance is not reached in respect of a predefined current warning distance of the railway vehicle relative to the secondary signal device, a proximity of the railway vehicle relative to the secondary signal device is displayed to the driver.
Train position detection apparatus and method
A train position detection apparatus is configured to detect a position of a train by receiving positioning radio waves from satellites through a reception antenna. The train position detection apparatus includes: a memory that stores therein in advance a railway design standard of a railway track on which the train travels; and one or more hardware processors that detect a position of the train by self-contained navigation based on an input signal from a self-contained navigation sensor. When a result of the train position detection based on the positioning radio waves does not satisfy the railway design standard, the one or more hardware processors correct the result of the train position detection based on the positioning radio waves with a result of the position detection by self-contained navigation.
Autonomous optimization of intra-train communication network
A system for dynamically adjusting a configuration of an intra-train communication network includes an electronic device and a computer-readable storage medium. The computer-readable storage medium has one or more programming instructions that, when executed, cause the electronic device to receive one or more parameters values associated with a train consist, determine whether a potentially adverse condition that would affect intra-train communication for the train consist is anticipated based on at least a portion of the received parameters, in response to determining that the potentially adverse condition is anticipated, identify one or more updated network parameter settings that will assist in maintaining intra-train communication of the train consist during an occurrence of the potentially adverse condition by executing a machine learning model, and implement the identified one or more updated network parameter settings.