A method and a system (30) for inspecting and/or mapping a railway track (18). The method comprises: acquiring geo-referenced rail geometry data associated with geometries of two rails (20) of the track along the section; acquiring geo-referenced 3D point cloud data, which includes point data corresponding to the two rails and surroundings of the track along the section; deriving track profiles of the track from the geo-referenced 3D point cloud data and the geo-referenced rail geometry data; and comparing the track profiles and generating enhanced geo-referenced rail geometry data and/or enhanced geo-referenced 3D point cloud data based on the comparison.

A method and a system (30) for inspecting and/or mapping a railway track (18). The method comprises: acquiring geo-referenced rail geometry data associated with geometries of two rails (20) of the track along the section; acquiring geo-referenced 3D point cloud data, which includes point data corresponding to the two rails and surroundings of the track along the section; deriving track profiles of the track from the geo-referenced 3D point cloud data and the geo-referenced rail geometry data; and comparing the track profiles and generating enhanced geo-referenced rail geometry data and/or enhanced geo-referenced 3D point cloud data based on the comparison.

A system and method for simulating a train management computer on a road-rail vehicle are provided. The system includes at least one portable enclosure, a power source disposed in the at least one portable enclosure, and a train management computer disposed in the at least one portable enclosure, the train management computer adapted to be connected to the power source.

There is provided an information processing apparatus including an extraction section which extracts, out of pieces of detection information each including position information and motion detection data acquired by terminal devices of respective users, detection information of a user on a specific train, based on the position information, and an estimation section which estimates distribution of people on the train based on the motion detection data included in the detection information extracted by the extraction section.

A signaling system includes an on-board device provided for a moving vehicle traveling on a track, and a station interface device provided for a station, and a branch provided on the track. A second moving vehicle transmits different moving vehicle related data of itself to a first on-board device of a first moving vehicle. The first station interface device transmits station related data of the branch to the first on-board device. The first on-board device outputs a command which instructs to switch the branch, to the first station interface based on the different moving vehicle related data and the station related data, to secure the traveling route. The first station interface device switches the branch and secures the traveling route. The first on-board device determines the traveling of the first moving vehicle of the secured traveling route based on the different moving vehicle related data.

The present invention relates to the field of automated transportation systems. Particularly, it relates to a transportation system comprising guide-ways or tracks, vehicle units [100, 100a] with wheel-axle assembly for switching of vehicles from primary [20] to secondary track [22] on changing trajectory to maintain same vertical plane and the method. It comprises of central controller [101], vehicle chassis with main wheels [2W], guide wheels [4iw, 4ow], guide blocks [05, 06], actuator [09]. The chassis [30] has set of contractible axles fixed to wheels [2W] to enables movement from primary [20] to secondary track [22] by withdrawing the wheels [2W] from expanded position [C] to contracted position [C] or vice-versa. The forces required to compress the spring loaded axle axis is derived from inner guide wheels rolling over the edge flange [26] when swung using single linear motor actuator [09] and related electronic controls.

The present invention relates to the field of automated transportation systems. Particularly, it relates to a transportation system comprising guide-ways or tracks, vehicle units [100, 100a] with wheel-axle assembly for switching of vehicles from primary [20] to secondary track [22] on changing trajectory to maintain same vertical plane and the method. It comprises of central controller [101], vehicle chassis with main wheels [2W], guide wheels [4iw, 4ow], guide blocks [05, 06], actuator [09]. The chassis [30] has set of contractible axles fixed to wheels [2W] to enables movement from primary [20] to secondary track [22] by withdrawing the wheels [2W] from expanded position [C] to contracted position [C] or vice-versa. The forces required to compress the spring loaded axle axis is derived from inner guide wheels rolling over the edge flange [26] when swung using single linear motor actuator [09] and related electronic controls.

The present invention provides a self-powered integrated sensing and communication (ISAC) interactive method of high-speed railway based on hierarchical deep reinforcement learning (HDRL), including: Constructing an integrated system framework for passive sensing and communication of high-speed train, where the passive sensor is mainly used for receiving train status information, and the access point (AP) is utilized for status information sensing of the train; During the remote communication between the AP and the base station (BS), Gaussian mixture model (GMM) clustering method is utilized for obtaining reference handover triggering points and completing the communication handover; Proposing an option-based HDRL algorithm to train the high-speed train agent so as to implement the dynamic autonomous switching process of information sensing and remote communication, thereby ensuring the minimum of task completion time and the timely charging for sensors. The present invention integrates passive sensing and remote communication.

The present invention provides a self-powered integrated sensing and communication (ISAC) interactive method of high-speed railway based on hierarchical deep reinforcement learning (HDRL), including: Constructing an integrated system framework for passive sensing and communication of high-speed train, where the passive sensor is mainly used for receiving train status information, and the access point (AP) is utilized for status information sensing of the train; During the remote communication between the AP and the base station (BS), Gaussian mixture model (GMM) clustering method is utilized for obtaining reference handover triggering points and completing the communication handover; Proposing an option-based HDRL algorithm to train the high-speed train agent so as to implement the dynamic autonomous switching process of information sensing and remote communication, thereby ensuring the minimum of task completion time and the timely charging for sensors. The present invention integrates passive sensing and remote communication.

A method of monitoring a track using train cars includes collecting first sensor data corresponding to a track location by a first sensor network on a first train car. Based on the first sensor data, a potential track anomaly at the track location is identified by a diagnostics system on the first train car. A message describing the anomaly is transmitted to diagnostics systems located on other train cars. The message is received by a second diagnostics system on a second train car located behind the first train car. The second diagnostics system determines a time at which the second train car will be passing over track location and, at the determined time, collects second sensor data. If the track anomaly is present in both the first sensor data and the second sensor data at the track location, a train control system is notified of the track anomaly.