A speed control and track change detection device for railways is characterised in that it comprises three high-frequency radar sensors located at the vertices of an imaginary triangle and a digital processing device for processing the signals detected by the radars, wherein in the case of the speed control system, both sensors are located at 1 m distance from each other along the axis of the path of the railway and inspect the ground of the infrastructure 2 cm away from the outside of each rail, and according to the temporal offset of the signals obtained the digital processing device estimates the exact speed of the train.

A speed control and track change detection device for railways is characterised in that it comprises three high-frequency radar sensors located at the vertices of an imaginary triangle and a digital processing device for processing the signals detected by the radars, wherein in the case of the speed control system, both sensors are located at 1 m distance from each other along the axis of the path of the railway and inspect the ground of the infrastructure 2 cm away from the outside of each rail, and according to the temporal offset of the signals obtained the digital processing device estimates the exact speed of the train.

A system and method generate a trip plan for a trip of a vehicle system along a route. The usage of an engine during the trip is determined based on engine operational parameters, energy storage device operational parameters, and one or more objectives of the trip desired to be achieved. The usage of the energy storage device during the trip is also determined based on the engine operational parameters, the energy storage device operational parameters, and the one or more objective, including when to charge or discharge the energy storage device during the trip.

A system and method generate a trip plan for a trip of a vehicle system along a route. The usage of an engine during the trip is determined based on engine operational parameters, energy storage device operational parameters, and one or more objectives of the trip desired to be achieved. The usage of the energy storage device during the trip is also determined based on the engine operational parameters, the energy storage device operational parameters, and the one or more objective, including when to charge or discharge the energy storage device during the trip.

The invention relates to a method for determining a position of a rail vehicle, moving on a track, by means of an optical measuring system comprising a stereo camera system and an evaluation device, wherein by means of the stereo camera system an image pair is recorded from a reference point in a lateral environment of the track and wherein by means of photogrammetry the position of the rail vehicle is determined in relation to the reference point. The position of the rail vehicle is additionally detected by means of a radio-based measuring system for real-time locating by means of anchor modules attached to the rail vehicle and by means of transponders attached to several reference points, wherein position data of the two measuring systems are compared by means of a central system unit. In this way, two independent measuring systems are used to generate position data.

A train door opening determination method includes obtaining a stop threshold, obtaining a cumulative ranging error, and instructing, according to the stop threshold and the cumulative ranging error, a train to open or not to open train doors.

A system for the geolocation of vehicles traveling on a guideway comprises the vehicles and markers distributed episodically along the guideway. The vehicles are equipped with a sensor for detecting a physical characteristic of the markers, and a computer for supplying location information as a function of signals delivered by the sensor. The computer stores a database comprising a recording of the distribution of the markers on the guideway. The markers having a physical characteristic detectable by the sensors. The markers each belong to one and only one class among a plurality of classes of physical objects, and the physical characteristic of all the markers of a class have the same property during detection by one of the sensors. The markers are randomly distributed on the guideway, with an ordered recording of the class to which each of the markers arranged on the guideway is stored in the database. Each of the recordings is associated with location information relative to the physical position of the marker on the guideway.

A train control apparatus includes a setting reception unit that receives setting information regarding a temporary speed limit section and a speed limit. A control unit generates temporary speed limit information for the trains. A communication unit transmits the temporary speed limit information to the trains. If information regarding all temporary speed limit sections cannot be included in the temporary speed limit information, the control unit includes, in the temporary speed limit information, information regarding a specified number of temporary speed limit sections located on a traveling direction side, and changes a speed limit in one or more temporary speed limit sections included in the temporary speed limit information on the basis of a speed limit set in a temporary speed limit section that is adjacent to a temporary speed limit section included in the temporary speed limit information, and is not included in the temporary speed limit information.

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 method is provided that may include obtaining image data from vision sensors disposed onboard a vehicle. The method may include determining a stopping distance of the vehicle based at least in part on the image data using an artificial intelligence (AI) neural network having artificial neurons arranged in layers and connected with each other by connections. A moving speed and a speed limit of the vehicle may be determined using the AI neural network. The method may control movement of the vehicle using the AI neural network by enforcing movement authorities preventing unwarranted movement of the vehicle based on a difference between the moving speed and the speed limit. The method may include receiving feedback regarding the stopping distance and the speed limit calculated by the artificial neurons and training the AI neural network by changing connections between the artificial neurons based on the feedback received.