A video content analysis system for mobile assets that includes track detection and infrastructure monitoring component. The track detection and infrastructure monitoring includes a reinforcement learning component, an object detection and location component, and an obstruction detection component to analyze video data, audio data, vehicle data, weather data, and route/manifest data to determine internal and/or external conditions relating to an the asset. A data acquisition and recording system uploads the data, internal and/or external condition information, object detection information, object location information, and obstruction detection information to a remote memory module and provides streaming video data in real-time to a remotely located user. Remotely located users can view the data in various view modes through a web browser or virtual reality device, which provides for quicker emergency response, validates the effectiveness of repairs and rerouting, and monitors crew performance and safety.

Systems and methods for protecting and preventing unauthorized transfer or downloading of recorded train event data for use in a train event recording system of a train. A train event recording system and an authenticated data storage device are also disclosed. According to one preferred and non-limiting embodiment, provided is a system for protecting recorded train event data, the system including at least one external memory device having encrypted authentication data stored thereon, the encrypted authentication data including authentication data encrypted with at least one first key.

A data collection module for collecting data relating to at least one device of a vehicle is provided. The module includes connection means configured to be connected to a maintenance port of a device controller that manages operation of the at least one device. The connection means also is configured to establish communication with the device controller through the maintenance port. The module also includes data retrieval means configured to collect, during the operation of the at least one device at predefined instants, data relating to the at least one device via the communication that is established.

A vehicle driving assistance method includes detecting a speed of a vehicle, obtaining a speed limit of the vehicle in a corresponding section of road based on images when the speed of the vehicle exceeds the speed threshold, and issuing a warning when the speed of the vehicle exceeds the speed limit of the vehicle in the corresponding section of road.

A route examination system includes a thermographic camera configured to be logically or mechanically coupled with a vehicle that travels along a route. The thermographic camera is also configured to sense infrared radiation emitted or reflected from the route and to generate a sensed thermal signature representative of the infrared radiation that is sensed. The system also includes a computer readable memory device configured to store a designated thermal signature representative of infrared radiation emitted from a segment of the route that is not damaged. The system also includes an analysis processor configured to determine a condition of a first portion of the route relative to other portions of the route at least in part by comparing the sensed thermal signature and the designated thermal signature.

A system and method for automating workflow and performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data characterizing the enforcement event, as well as analyze the data to evaluate what is the root cause of the enforcement event. The system can extract critical information from train system logs of the train using an extraction model to generate a window of activity providing an analysis model with a comprehensive scope to analyze the enforcement event. The system can give the user robust and accurate information of the root cause of the enforcement event.

A vehicle control system may determine a required tractive effort and/or a required braking effort to propel a vehicle system at a determined speed. The vehicle control system may determine a throttle setting or a brake setting to provide the required tractive effort and/or the required braking effort and communicate a control signal from a remote controller device to an onboard controller device. The vehicle control system may operate a propulsion system at the throttle setting and/or a brake system at the brake setting to move the vehicle system at the determined speed.

There is disclosed a driverless transport system, DTS, (10) comprising: a travelling course (12), formed of routes (14), preferably travelled unidirectionally, which are defined respectively by one track (28), and of markers (16); a fleet (18) of at least two driverless transport vehicles, DTV, (20) travelling along the tracks (28) in a forcibly guided manner; and at least one station (26) defined by: at least one of the tracks (28), at least one of the markers (16), and an individualizing assigned station identifier; wherein each of the stations (26) can comprise a terminal (70) for allocation of travelling destination and wherein each of the stations (26) represents an area of the travelling course (12), within which the DTVs (20) can get assigned a new travelling destination and/or can be loaded, unloaded, energetically charged, and/or stopped; wherein the markers (16) include information, which is station-specific by being associating the respective information with the respectively assigned station identifier; wherein each of the DTVs (20) comprises: a communication unit (52) for transmitting and receiving information; a marker-detection unit (54) for reading, preferably contactless, the information from the markers (16); and a controlling unit (58) for processing read and received information; and wherein communication between the DTV (20) and communication between the DTVs (20) and terminals (70) is respectively performed directly, and in particular in a DTV-unspecific manner. (FIG. 5)

An unmanned aerial vehicle (UAV) system for maintaining railway situational awareness, includes a ground station configured to be mounted to a train, a UAV including a sensor, a processor, and a memory. The sensor is configured to provide a signal indicative of condition and/or an event. The memory contains instructions, which, when executed by the processor, cause the system to: selectively deploy the UAV, from the ground station mounted to the train, receive the signal from the sensor; and determine a condition and/or an event, relative to the train, based on the sensed signal.

A resonant sensor probe assembly includes a substrate formed from one or more dielectric materials and free-standing electrodes coupled with the substrate. The free-standing electrodes are configured to be placed into the fluid and to generate an electric field between the free-standing electrodes. A controller measures an impedance response of the sensor to the fluid between the electrodes to determine an aging effect of the sensor.