A vehicle control system includes a controller configured to be operably deployed onboard a first propulsion-generating vehicle of a multi-vehicle system, and a wireless communication unit configured to be electrically coupled to the controller. The controller is configured to control the wireless communication unit to wirelessly communicate first vehicle control signals to a second propulsion-generating vehicle of the multi-vehicle system that is immediately adjacent and mechanically coupled to the first propulsion-generating vehicle, while the first propulsion-generating vehicle and the second propulsion-generating vehicle are in a non-cable-connected state. The controller also is configured to control the wireless communication unit to wirelessly communicate different, second vehicle control signals to a third propulsion-generating vehicle of the multi-vehicle system that is separated from the first and second propulsion-generating vehicles by at least one non-propulsion-generating vehicle in the multi-vehicle system.

A train operation control system and method based on train-ground coordination are provided. The system includes a dispatching center server, a resource management unit (RMU) for ground train control equipment, and on-board train control equipment (CC), wherein the dispatching center server is connected via communication to the on-board CC, and the on-board CC is connected via communication to the RMU for the ground train control equipment; and the RMU for the ground train control equipment and the on-board CC coordinatively complete resource management and implement train operation control, wherein the resource management is divided into two levels, at a first level, the RMU is responsible for performing the resource management in the unit of section, and at a second level, a preceding train and a succeeding train interact with each other via direct train-to-train communication, such that finer resource sharing in a section is achieved between the trains.

The invention relates to a train control method based on mobile authorization verification, which compares driving permission sent by a vehicle-mounted device to a ground trackside device with driving permission calculated by itself, and outputs the strictest driving permission. Compared with the prior art, the invention has the advantages that the correctness of mobile authorization calculation is improved, and the safety of train stop points is ensured.

Systems and methods are provided for decentralized rail signaling and positive train control. A decentralized train control system may include a plurality of wayside units, configured for placement on or near tracks in a railway network, and one or more train-mounted units, each configured for use in a train operating in a railway network that support use of the decentralized train control system. Each train-mounted unit may configured to receive communicate with any wayside unit and/or train-mounted unit that comes within range, with the communicating including use of ultra-wideband (UWB) signals, and for generating control information based on the UWB signals, for use in controlling one or more functions associated with operation of the train.

A first train-installed device according to the present invention includes: a memory; and a processor. The processor performs operations. The operations includes: performing wireless communication through an antenna installed at a front of a train; acquiring train information including information indicating a railroad of the train; transmitting a search signal to another train in a neighborhood of the train; when receiving a response signal including train information including information indicating a railroad on which the another train is on-rail, determining whether there is a possibility of a collision between the train and the another train based on the train information; and when there is a possibility of the collision, measuring a distance between the another train and the train by transmitting and receiving a measurement signal and a measurement response signal to and from the second train-installed device.

A system for dynamically adjusting a configuration of an intra-train communication network includes an electronic device and a computer-readable storage medium. The computer-readable storage medium has one or more programming instructions that, when executed, cause the electronic device to receive one or more parameters values associated with a train consist, determine whether a potentially adverse condition that would affect intra-train communication for the train consist is anticipated based on at least a portion of the received parameters, in response to determining that the potentially adverse condition is anticipated, identify one or more updated network parameter settings that will assist in maintaining intra-train communication of the train consist during an occurrence of the potentially adverse condition by executing a machine learning model, and implement the identified one or more updated network parameter settings.

Enhanced transit location systems and methods are provided. A method comprises receiving, into a vehicle radio located on a vehicle traveling along a roadway, signals transmitted by wayside radios located along the roadway; and determining a location of the vehicle along the roadway based on the received signals.

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.

In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to -a fixed, railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs. and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.

An information transmission system includes a ground system provided to a track and an onboard system installed in a train. The ground system includes two (M=2) track antennae selected from N types of track antennae with different resonance frequencies. The two track antennae are arranged side by side in a left and right direction relative to a traveling direction of the train. When the train passes through a position where the ground system is provided, the onboard system detects the two track antennae at once and can determine the resonance frequencies of the track antennae.