One of the first and second wireless communication devices is disposed in a mobile object, and the other is fixed. The first wireless communication device includes a wireless transmission/reception unit that transmits data to the second wireless communication device and performs wireless transmission and reception in order to detect whether the mobile object is stopped. When, in a first mode for transmitting data to the second wireless communication device and determining whether the reception strength of a received signal is equal to or greater than a first value, the first wireless communication device detects that the reception strength is equal to or greater than the first value, the first wireless communication device stops the transmission of data to the second wireless communication device, exits the first mode, and transitions to a second mode for determining whether the mobile object is stopped.

An electric rail system includes a current collector mounted for movement along at least one rail of the electric rail system and a monitoring system for detecting a condition indicative of a problem with the rail system or the current collector. The monitoring system includes a detector having one or more of: a camera configured to record images of a portion of the rail system in front of or behind the current collector, at least one vibration sensor on at least one slip contact of the current collector, an optical spark sensor configured to detect sparks in a contact region between the slip contact and the at least one rail, and at least one distance sensor configured to detect a distance between the at least one distance sensor and the at least one rail.

In certain embodiments, a system comprises a railcar and a wireless device coupled to the railcar. The railcar is configured to travel a track and is associated with identification information that indicates an identity of the railcar. The wireless device comprises memory and processing circuitry. The memory is configured to store the identification information associated with the railcar. The processing circuitry is configured to provide status information to one or more trackside automatic equipment identification (AEI) readers and to one or more wireless network nodes. The status information that the processing circuitry is configured to provide to the one or more trackside AEI readers comprises the identification information associated with the railcar.

A communication system may be provided that includes a lead communication assembly configured to be disposed onboard a lead vehicle in a multi-vehicle system, and a remote communication assembly configured to be disposed onboard a remote vehicle in the multi-vehicle system. The lead communication assembly and the remote communication assembly may be configured to communicate with each other via a wired connection extending along the multi-vehicle system from at least the lead vehicle to at least the remote vehicle. Additionally, the lead communication assembly and the remote communication assembly may also be configured to communicate with each other via a wireless connection. The lead communication assembly and the remote communication assembly may also be configured to switch back-and-forth between communicating with each other via the wired connection and via the wireless connection.

A method and a structure for an Autonomous Train Control System (ATCS) are disclosed, and are based on a plurality of autonomous train control elements that operate independent of each other. An autonomous train control element operates within an allocated track space, and based on predefined rules. Further, autonomous train control elements are paired together to exchange operational data. Pursuant to the predefined rules, an autonomous train control element acquires needed track space from a paired element, and relinquishes track space that is not required for its autonomous operation to a paired element. Further, an autonomous train control element is assigned a priority level with respect to the acquisition/relinquishment of track space.

An interconnection and intercommunication method and system for a virtual marshalling train control system in a heavy haul railway. The method includes: determining a switching area for switching ground equipment between an existing line and a virtual marshalling line; switching a ground equipment control right when a train runs to within a range of the switching area; and after switching of the ground equipment control right is completed, sending, by the ground equipment in the virtual marshalling line, a marshalling command to on-board equipment of the train, and virtually marshalling, by the on-board equipment, the train corresponding to the on-board equipment and a front train in a formation based on the marshalling command. According to the present invention, the switching between different signal systems can be implemented, and the efficiency of train operation can be improved.

Disclosed in the present invention are a permanent-magnet magnetic levitation rail transit control system and method based on 5G communication technology. The system comprises: an intelligent control center, a 5G communication platform, a train security system, an Internet of things monitoring system, and a passenger service system. In the present invention, targeted at the problem of being difficult to ensure barrier-free transmission of signals even by means of beamforming technology due to high moving speed of a permanent-magnet magnetic levitation rail transit system and small coverage of 5G base stations, a multi-connectivity scheme is used, and the intelligent control center selects two 5G base stations for signal transmission at the same time depending on distribution of 5G base stations along a line, wherein one 5G base station is the current closest base station, and the other 5G base station is the next base station to be approached. By means of a relay-type base station passing mode, it is ensured that a 5G communication platform can provide a stable and reliable communication link.

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.

A system is provided that may include a controller having one or more processors. The one or more processors may control movement of a vehicle system along a route, and determine a restriction in speed of the vehicle system at a switch point. The one or more processors may determine a direction of movement of the vehicle system based on the restriction in the speed at the switch point.

A computer-implemented method of determining a position of a vehicle within a transport network comprises obtaining track geometry data indicating track geometry of at least a part of the transport network; receiving first sensor data from an inertial measurement unit mounted to the vehicle; executing a Bayesian estimation filter algorithm to predict a position of the vehicle, wherein the Bayesian estimation filter algorithm comprises a process model, the process model comprising a strapdown inertial navigation algorithm, and wherein the strapdown inertial navigation algorithm generates data indicative of the predicted position of the vehicle based at least upon the first sensor data and the track geometry data such that the predicted position of the vehicle lies on a track defined by the track geometry data; receiving second sensor data from a sensor other than an inertial measurement unit, wherein the sensor is mounted to the vehicle; executing the Bayesian estimation filter algorithm to update the predicted position of the vehicle based at least upon the second sensor data; and generating an output indicative of a position of the vehicle within the transport network based upon at least one of the predicted position of the vehicle and the updated predicted position of the vehicle.