Patent classifications
B61L2201/00
Control method for supporting dynamic coupling and uncoupling of train
A control method for supporting dynamic coupling and uncoupling of a train includes: step A, acquiring stored coupling status information during an initialization phase; step B, loading an off-line configuration of a corresponding composition according to the stored coupling status; step C, collecting three sets of input signals related to the coupling; step D, determining whether a train coupling status is proper according to the collected signals, then turning to step E if yes and turning to step F if no; step E, determining whether a current coupling status is consistent with the off-line configuration used in step B, then performing step H if yes and performing step G if no; step F, requesting emergency braking, and reporting an alarming error; step G, requesting emergency braking, re-writing coupling status information with codes after determining that the train is stationary, and then turning to step A for re-initialization.
Enhanced transit location systems and methods
Enhanced transit location systems and methods are provided. A method comprises receiving, into a vehicle radio located on a vehicle traveling along a roadway, signals transmitted by wayside radios located along the roadway; and determining a location of the vehicle along the roadway based on the received signals.
System and method for vehicle control based on detected wheel condition
A system is provided that includes a detection circuit having a first and second sensor. The first sensor is configured to measure a rotational speed of a first wheel. The second sensor is coupled to a vehicle chassis and configured to measure a position over time of the vehicle chassis. The system further includes a controller circuit configured to determine a shock frequency based on the position of the vehicle chassis. The controller circuit is further configured to determine a condition (e.g., an anomalous condition) of the first wheel based on the shock frequency and the rotational speed, and may be further configured for vehicle control based on the determined condition.
AUTONOMOUS RAIL OR OFF RAIL VEHICLE MOVEMENT AND SYSTEM AMONG A GROUP OF VEHICLES
In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to -a fixed, railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs. and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.
Inspection System for Amusement Rides Having Tracks
An inspection system for inspecting the track of an amusement ride with at least one rail. A vehicle is provided that is designed to ride along the track. The vehicle supports cameras. The cameras are positioned in unobstructed areas. The cameras image the rail from different angles as the vehicle rides along the track. The images recorded by the cameras are reviewed to identify any defect or issue with the rail or its supporting framework that may impact from the safety of the ride.
Maintenance of distributed train control systems using machine learning
A machine learning system for maintaining distributed computer control systems for a train may include a data acquisition hub communicatively connected to a plurality of sensors configured to acquire real-time configuration data from one or more of the computer control systems. The machine learning system may also include an analytics server communicatively connected to the data acquisition hub. The analytics server may include a virtual system modeling engine configured to model an actual train control system comprising the distributed computer control systems, a virtual system model database configured to store one or more virtual system models of the distributed computer control systems, wherein each of the one or more virtual system models includes preset configuration settings for the distributed computer control systems, and a machine learning engine configured to monitor the real-time configuration data and the preset configuration settings. The machine learning engine may warn when there is a difference between the real-time configuration data and the preset configuration settings, the difference being indicative of at least two of the distributed computer control systems being out of synchronization by more than a threshold deviation.
Electronic job aid system for operator of a vehicle system
A job aid system and method determine conditions in which a vehicle system is operating or will operate during movement of the vehicle system along one or more routes. A context-sensitive action checklist is selected or generated based on one or more of the conditions. Input from the operator of the vehicle system is received in response to one or more action items in the context-sensitive action checklist that is presented to the operator. An alertness level of the operator is determined based on the input that is received from the operator. One or more alerting actions can be implemented to increase the alertness level of the operator.
CABLE CAR AND CABLE CAR NETWORK WITH SEVERAL CABLE CARS
A cable car and a cable car network with cable car stations and cable car vehicles movable with a haulage rope between the cable car stations includes a cable car control unit for controlling the cable car, wherein a maximum electrical energy consumption of the cable car is predetermined; an energy detection unit configured for determining an electrical energy consumption of the cable car; and wherein the cable car control unit is configured to control or regulate an electrical energy consumption of at least one electrical consumer of the cable car based at least in part on the determined electrical energy consumption of the cable car such that the maximum electrical energy consumption predetermined for the cable car is not exceeded. Associated methods of operating a cable car or cable car network are also disclosed.
VEHICLE CONTROL SYSTEM AND METHOD
A vehicle control system may determine a required tractive effort and/or a required braking effort to propel a vehicle system at a determined speed. The vehicle control system may determine a throttle setting or a brake setting to provide the required tractive effort and/or the required braking effort and communicate a control signal from a remote controller device to an onboard controller device. The vehicle control system may operate a propulsion system at the throttle setting and/or a brake system at the brake setting to move the vehicle system at the determined speed.
Apparatus and method for configuring systems in rail vehicles
The invention relates to an apparatus for configuring systems, the apparatus being positioned as intended in a rail vehicle and comprising—a data-processing unit—information-transmitting connections between the data-processing unit and the systems—a selection unit for selecting a saved profile—an input unit for inputting operating parameters—a receiving unit for receiving additional or altered profiles.