A method, a device and a system for safely and reliably performing real-time speed measurement and continuous positioning are provided. With the method, inertial navigation data from an inertial navigation signal source arranged in a train is detected, and correction data from a correction signal source is detected. In a case that no correction data is detected, a current speed and a current position of the train is determined based on the inertial navigation data, and in a case that the correction data is detected, the inertial navigation data is corrected with the correction data, and a current speed and position of the train are determined based on the corrected inertial navigation data. Therefore, even in the case that no correction data is detected, the real-time speed measurement and continuous positioning can be performed safely and reliably based on the inertial navigation data.

A rail vehicle system, a rail vehicle, and a visual sensing device are provided. The rail vehicle system includes a system control device, a rail, and a rail vehicle. The rail vehicle includes a processing device and the visual sensing device. In a process where the rail vehicle travels along the rail, the visual sensing device captures images in front of the rail vehicle, and the visual sensing device emits a laser beam toward a front side of the rail vehicle. The visual sensing device receives the reflected laser beam to generate a laser sensing data. The processing device determines whether or not to change at least one of a travel direction and a travel speed of the rail vehicle according to the images captured by the visual sensing device and the laser sensing data.

An on-board thermal track misalignment detection system method therefor is presented. The system can use on-board locomotive sensors attached to an end-of-train device to detect (on the edge), signs and symptoms of thermal misalignments of the track. Once detected an alert can be transmitted to prevent potential derailments. The system can also include a forward-facing and rearward-facing imaging sensors (e.g., camera, LiDAR sensor, etc). The system can wirelessly communicate (e.g., via radio) with a leading locomotive to ensure proper air pressure and location. The system can be powered by an on-board battery and/or air pressure device. Advantageously, the system can calculate whether any rail deviation is significant (e.g., via one or more threshold values). The system can also leverage image processing functionality, executed by one or more processors) to find the centerline and the distance between the tracks.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring vehicles traversing a dedicated roadway that includes an at-grade crossing. In some implementations, a system includes a central server, a gate system, and sensors. The gate system provides access to an at-grade crossing for vehicles. The sensors are positioned in a fixed location relative to a roadway, the roadway including the at-grade crossing. Each sensor can detect vehicles on the roadway. For each vehicle, each sensor can generate sensor data and observational data from the generated sensor data. Each sensor can determine a likelihood that the detected vehicle will approach the at-grade crossing by comparing the likelihood to a threshold. In response, each sensor can transmit data to the gate system that causes the gate system to allow the autonomous vehicle access to the at-grade crossing prior to the autonomous vehicle reaching the gate system.

Disclosed are a method and system for correcting the precision of a magnetic levitation train traction system position control ring. The precision correction method comprises: step A, a speed measuring system collecting position-related information of a train; step B, sending the position-related information to a traction system through a signal system; and step C, the traction system carrying out closed-loop control on the position of the train according to the position-related information. The method further comprises step A1 before step A: checking the time for the speed measuring system, the signal system and the traction system, and adding timestamp information. According to the correcting method and system, the time is checked for a speed measuring system, a signal system and a traction system, and timestamp information is added, such that the influences of a delay and periodic random shaking are overcome, and the requirement of traction control of a medium-high speed magnetic levitation train is met. By using mature and cheap 4G-LTE wireless communication, the characteristics of high bandwidth, low delay, wide coverage, QoS guarantee and high-speed movement are achieved. A simple and practical method for improving precision of medium-high speed magnetic levitation magnetic pole phase angles is provided, and this has good engineering application prospects.

The present invention relates to a moving block train operation control method and system based on train autonomous positioning, where the method is centered on a train-mounted device, autonomous positioning and integrity checking are implemented for the train-mounted device through satellites, and a movement authority and a target distance curve are calculated according to a real-time position, speed, and line state of a preceding train and in combination with train-to-train communication train safety protection technology, thereby achieving moving block. Compared with the prior art, the present invention has the advantages that line use efficiency, system work efficiency and operation efficiency are improved, a quantity of railside devices is reduced, and system construction and maintenance costs are reduced.

A special car operation system includes a passenger prediction unit that predicts the number of passengers on a train scheduled to operate and outputs passenger count information indicating the predicted number of passengers, and a car-count determination unit that determines the number of special cars in the train on the basis of the passenger count information output by the passenger prediction unit and outputs car count information indicating the determined number of special cars.

A solution is disclosed for a state estimation system and method configured for a hyperloop vehicle. Further, the state estimation system provides an estimate of the future position and/or orientation of the hyperloop vehicle such that the hyperloop vehicle can maintain safe, efficient flight during a journey. The state estimation system utilizes a number of sensors to gather data in order to perform state estimation using a Kalman filter. The state estimation is then sent to a motion execution controller such that the state estimation may be translated into commands for engines disposed throughout the hyperloop vehicle such that the position and/or orientation may be reached by hyperloop vehicle.

A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.

A method for geolocating an interference source in a communication-based transport system, wherein the communication-based transport system comprises: —a plurality of interference sources, distributed in a space and respectively emitting signal, —a vehicle, moving along a known trajectory, receiving the signal from the interference sources, and measuring the signal strength of the signal of only one interference source at a time instance; the method comprising: —separating the interference sources by clustering the signal strength of the signal with a clustering method; —estimating the locations of the interference sources in the space based on the separated interference sources.