A measurement method includes: generating second measurement data by performing filter processing on observation data-based first measurement data; calculating a first deflection amount of a structure based on an approximate equation of deflection of the structure, observation information, and environment information; calculating a second deflection amount by performing filter processing on the first deflection amount; calculating a third deflection amount based on the second deflection amount and a first-order coefficient and a zero-order coefficient which are calculated based on the second measurement data and the second deflection amount, and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; calculating a first static response by adding the offset and a product of the first-order coefficient and the first deflection amount; and calculating a first dynamic response by subtracting the first static response from the first measurement data.

A method for generating an image of a route network that is travelled through by a rail vehicle. The image is generated with the use of activities that are recorded by the rail vehicle as it travels through the route network and sorted in an activity sequence. In order to provide an improved method, patterns in the activity sequence are identified with use of a pattern detection method and the image of the route network is generated with the use of the identified patterns.

A method for generating an image of a route network that is travelled through by a rail vehicle. The image is generated with the use of activities that are recorded by the rail vehicle as it travels through the route network and sorted in an activity sequence. In order to provide an improved method, patterns in the activity sequence are identified with use of a pattern detection method and the image of the route network is generated with the use of the identified patterns.

The current invention relates to a method for monitoring the configuration of a train, the train comprising a plurality of railway vehicles coupled to each other, each of the railway vehicles comprising a monitoring module on each end, each monitoring module comprising a unique identifier, a low power radio configured to have a range within free space of at least 3 m and at most 10 m, a memory and a communication means to wirelessly communicate with a processing unit. The inventions also relates to a device for monitoring the configuration of a train.

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.

A method for odometric monitoring of a rail vehicle includes recording measured values with a sensor in the rail vehicle, and calculating location information and/or speed information from the measured values. The measured values and/or the location information and/or the speed information is stored, and patterns for the measured values and/or the location information and/or the speed information are generated by evaluating the already acquired measured values and/or the location information and/or the speed information. The currently acquired measured values and/or the location information and/or the speed information are synchronized with at least one pattern, and the occurrence of deviations from the patterns is output via an interface. A rail vehicle, a control center, a computer program product and a provision apparatus for the computer program product are also provided.

A train positioning method includes acquiring first device identification information at an antenna; acquiring train positioning information; after determining the first device identification information is trustworthy, storing the first device identification information and the positioning information in a non-volatile memory; after awakening the train from dormancy mode, receiving second device identification information using the antenna; according to the received second device identification information and the first device identification information from the memory, determining whether, after being awakened, the train is at the same position as before entering dormancy mode; upon determining that, after awakening, the train is at the same position as before entering dormancy mode, determining the current position and direction of the train match positioning information in the memory, and completing positioning of the train. This ensures the usage experience of users of a train. An apparatus, a system, and a computer-readable medium are also provided.

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.

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