A train speed estimation device and method are disclosed. Vibration in a natural frequency band experienced by a train as it advances is sampled by means of first and second sensors at the same sampling frequency, to obtain a first set and a second set of sampling signals respectively; a first set and a second set of vibration signals are obtained on the basis of the first set and second set of sampling signals respectively, and the first set and second set of vibration signals are subjected to cross-correlation analysis, to obtain a target sampling difference; and a train speed is calculated on the basis of the target sampling difference. The train speed estimation device and method according to the present disclosure can precisely monitor the real-time train speed without relying on any speed sensor or GNSS.

Communication systems and methods for vehicles are provided. A method includes receiving a command message from a first vehicle at a second vehicle, wherein the first vehicle and second vehicle are communicatively coupled to define at least a portion of a vehicle group; receiving a status reply message from the second vehicle at the first vehicle in response to a trigger event; controlling an operation of one or more vehicles in the vehicle group based at least in part on a determined communications status of a communication network comprising at least one communication device with respect to the command message and the status reply message.

A car integrated management system has a plurality of communication apparatuses, each including: an extraction unit to extract entries from a table; an address unit to generate a destination address of a packet, using information to identify a subnet connected to each of the communication apparatuses, and to generate a next hop address that indicates an address of a transfer destination to which the packet is to be transferred, using information to identify each of the communication apparatuses, the subnet identification information and the communication apparatus identification information being included in entry extracted by the extraction unit; an acquisition unit to acquire information about an IP port to be used for sending the packet to a communication apparatus at the next hop address; and an entry addition unit to add information about the destination address, the next hop address, and the IP port to a routing table.

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.

A system and method for detecting the operational status of a brake system on a railcar. The system receives from a sensor an indication of the magnitude of a braking force applied by the braking system in response to an instruction to increase or decrease the braking force. It compares the response to possible responses of the braking system in view of the instruction provided. Based on the comparison, the system generates at least one of a message and/or an alert indicating the status of the brake system. Additional sensors, including a pressure sensor on a brake pipe of the railcar, can be added for additional functionality.

Systems, methods, and non-transitory machine-readable media for remote monitoring and for detecting that an axle of a railcar is in a hunting condition in accordance with embodiments of the invention are disclosed. In one or more example embodiments, a device for detecting a hunting condition of a railcar axle that includes a controller having one or more processors, a data array, an accelerometer, and memory storing executable instructions that, when executed by the one or more processors, cause the controller to obtain from an accelerometer acceleration data indicating lateral acceleration of a railcar, store the acceleration data in the data array, determine multiple standard deviations of accelerometer readings based on the acceleration data stored in the data array, and provide an indication that an axle of the railcar is in a hunting condition based on at least one of the standard deviations of accelerometer readings satisfying a standard deviation threshold.

A solution for managing vehicles both individually and as a group of associated vehicles is provided. A vehicle node can be located on each vehicle in the group and obtain and process data from a plurality of sensors also located on the vehicle. The vehicle node can be configured to communicate, either directly or indirectly, with a group system assigned to the group using a wireless communications solution. The group system can acquire monitoring data for all of the group of associated vehicles, which can be used to manage the group of associated vehicles and/or one or more individual vehicles in the group. The group system can be located on a vehicle traveling as part of the group of associated vehicles or at a fixed location.

Systems, methods, and non-transitory machine-readable media for tracking the state of a rail car are disclosed. In one or more example embodiments, a device may use sensors such as a spring height sensor or a time of flight sensor to determine a status of a load car, which may be associated with a location. The system may determine a delivery event at the location. This data may be correlated with spring usage data.

A failure determination device includes an acquirer to acquire pressure values of air springs provided to bogies included in a vehicle to support a vehicle body included in the vehicle, a compensator to perform compensation of the pressure values of the air springs depending on the position of the vehicle, and a determiner to determine, based on the pressure values of the air springs compensated by the compensator, whether any failure occurs in the air springs.

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.