A system includes one or more processors that are configured to obtain a constraint on movement for a first vehicle system along a route. The constraint is based on movement of a separate second vehicle system that is concurrently traveling along the same route. The processor(s) are configured to determine a speed profile that designates speeds for the first vehicle system according to at least one of distance, location, or time based on the constraint such that the first vehicle system maintains a designated spacing from the second vehicle system along the route.

A method and a control device determine a position-related braking ability of a vehicle. A first vehicle determines at least one piece of position-related information of a route section, the at least one piece of position-related information of the route section being information relating to the braking ability on the route section. The first vehicle transmits the at least one piece of position-related information to a receiver, the receiver being at least one second vehicle, whereby the braking curves of at least one rail vehicle are adapted according to the situation, thus allowing safety on the route section and the utilization of the section to be improved.

Exemplary embodiments are disclosed of vision-based systems and methods for locomotive control and/or location determination. In exemplary embodiments, a system includes at least one camera positionable onboard a locomotive for capturing one or more images of trackside signage including location data corresponding with location(s) along a track. The system also includes at least one processor configured for communication with the at least one camera for receiving the one or more images of the trackside signage captured by the at least one camera. The at least one processor is configured to analyze the one or more images and visually recognize the location data of the trackside signage in the one or more images captured by the at least one camera, thereby enabling the system to identify the locomotive's location along the track via the at least one processor's visual recognition of the location data of the trackside signage.

Embodiments of the application provide a train control method, system, computer device and storage medium. A scheme applying the train control method of the application determines a current travelling state of a vehicle under control firstly, and configures different state weights according to different travelling states to determine a corresponding target travelling parameter in a particular travelling state. The scheme can ensure to determine and obtain in real time an optimal target travelling parameter for the vehicle under control according to its current travelling state, regardless of the travelling environment of the vehicle under control, and control the vehicle under control in real time and effectively by the target travelling parameter during a travelling process. Thereby, the real-time performance and control accuracy of vehicle control can be improved, and the control effect of the train control method provided by the embodiments of the application can be further improved.

A train driver assistance method includes: acquiring basic data of a train under a complex and severe condition; determining whether a traction power system is normal according to the basic data; if so, acquiring an energy-efficient optimized speed profile of the train in a normal state according to the basic data of the train in the current state; and if not, acquiring an energy-efficient optimized speed profile of the train in an abnormal state according to the basic data of the train in the current state. In this way, the method can acquire the energy-efficient optimized speed profile of the train in its current state. The comprehensive electric train driver assistance method can enable the train to adapt to the complex and severe environment and realize the energy-efficient operation of the train and self-rescue of the train.

Methods and systems for managing a speed of a vehicle are provided. The methods and systems obtain image data from one or more vision sensors disposed onboard a vehicle. A stopping distance of the vehicle is determined based at least in part on the image data. A moving speed of the vehicle and a speed limit of the vehicle are determined. The speed limit is determined based on the stopping distance that is determined from the image data. The methods and systems control movement of the vehicle based on a difference between the moving speed of the vehicle and the speed limit of the vehicle.

A train control system includes independent virtual in-train forces modelling engines onboard each of a plurality of locomotives in a train. Each of the plurality of locomotives may also include an analytics engine and a calibration engine configured to assimilate, analyze, and calibrate real time information from other locomotives and from draft gears and couplers interconnecting the locomotives with determinations made by the independent virtual in-train forces modelling engine onboard the respective locomotive, with the plurality of locomotives of the train being configured to operate collectively and coordinate their own acceleration values based on a common goal of minimizing in-train forces without being dependent on a command from a lead locomotive or central command.

The disclosed solution generally relates to a hyperloop vehicle detecting objects in a hyperloop system. Hyperloop vehicles operate at incredible velocities and require robust systems to detect objects that increase the risk to a hyperloop vehicle. Transponders typically provide long-range data about the activity of downstream hyperloop vehicles. However, nearby objects require detection at line-of-sight distances in order to ensure that objects and vehicles within a given transponder interval distance are detected. The disclosed system provides an elegant solution that combines the advantages of both transponder-based object detection and sensor-based object detection.

A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.

A train control method is provided for a vehicle on-board controller (VOBC) configured on one end of a train. The method includes: performing a train awakening process; acquiring a running plan sent by an automatic train supervision (ATS) system after the train is successfully awakened; setting, according to a direction indicated by the running plan, a running direction of the train to be downward or upward; when the running direction is set to downward, using, as a head for train positioning, one end of the train not configured with the VOBC, to acquire positioning information of the train; when the running direction is set to upward, using, as the head for train positioning, one end of the train configured with the VOBC, to acquire the positioning information of the train; and controlling, according to the positioning information of the train, the train to pull out of a parking garage.