An automatic train operation system includes a first control system configured to run a first software for controlling a first vehicle subsystem and a second control system configured to run a second software for controlling a second vehicle subsystem. The automatic train operation system also includes a software verification controller. The software verification controller is configured to identify a first identifier of the first software and a second identifier of the second software as a software configuration and determine whether the software configuration is preapproved. The software verification controller is also configured to, if the software configuration is preapproved, authorize the first control system and the second control system to run the first and second software.

A system and method includes commencing movement of a vehicle system including a plurality of vehicles from a stationary state. Operation of the vehicle system is controlled to control spacing between the vehicles of the vehicle system.

The present invention relates to a train autonomous control system and method based on train-to-train communication. The control system includes an automatic train supervision system ATS, an object controller OC, a train-mounted subsystem CC, a tag reader subsystem, a query transponder, and a data communication system DCS, the automatic train supervision system ATS is connected to the train-mounted subsystem CC, and the train-mounted subsystems CC of adjacent trains are in communication connection with each other, and the control system further includes a railside resource manager WRC, and the railside resource manager WRC is respectively connected to the automatic train supervision system ATS, the train-mounted subsystem CC, the object controller OC, the tag reader subsystem, and the query transponder. Compared with the prior art, the present invention has the advantages of reducing a transmission link of data information over a network, improving operation efficiency of the system, and the like.

The present invention relates to an integration-oriented intelligent speed trajectory optimization method and system for an autonomous train. The method includes: constructing an autonomous train speed trajectory optimization model under virtual coupling based on a discrete distance; converting the autonomous train speed trajectory optimization model into a Markov decision process; using a deep reinforcement learning algorithm TD3 to train a neural network and an agent in the Markov decision process, to obtain a trained neural network and agent; and deploying the trained neural network and agent to an autonomous train, to perform an autonomous train speed trajectory optimization decision, so that safe, efficient, and comfortable train autonomous operations can be implemented.

Disclosed herein is a motorized railway safety cart, comprising a) a chassis adapted with rail-guided carriages configured to travel along rails, and interconnected by a base frame, b) a driving unit for driving wheels attached to at least one of said rail-guided carriages, c) a control module for controlling the operation of said motorized railway safety cart, and d) a communication module, said cart is configured to automatically travel along a railway track to a designated location thereof and is further configured with one or more safety measures for performing safety tasks thereat, such as alerting or triggering preventive measures that can restrict passage into a predefined track work zone. Also disclosed herein is a deployment system that facilitates a remotely controlled deployment of said motorized railway safety cart.

A method for ensuring the standstill of a rail vehicle, in particular ensuring the standstill of the rail vehicle for safety reasons, uses a vehicle controller of the rail vehicle having an electronic control system in order to implement driving commands and standstill commands in the rail vehicle. In addition, a monitoring instance is used, which is independent of the control system and which detects a movement of the rail vehicle, compares the detected movement with a valid driving command of the vehicle controller and, in the case of a deviation, initiates braking of the rail vehicle independently of the control system in order to bring the rail vehicle to a standstill.