A vehicle control device provided in a vehicle includes a communication unit, a sensing unit, a display unit, and a processor configured to output driving-related information of an adjacent vehicle decided using at least one of the communication unit and the sensing unit on the display unit based on a satisfaction of a preset condition.

The present disclosure relates to an autonomous rail transport system with the aid of a rail network. The rail transport system according to the disclosure comprises at least one autonomous goods-carrying rail vehicle and at least two autonomous goods terminals. The goods-carrying rail vehicle is designed to transport at least one item of goods while the goods terminals are each designed to receive and/or release at least one item of goods. The item of goods is transported autonomously from a first goods terminal to a second goods terminal with the aid of the goods-carrying rail vehicle on the rail network. The rail network of the rail transport system according to the disclosure is a streetcar-line network.

A vehicle control device provided in a vehicle includes a communication unit, a sensing unit, a display unit, and a processor configured to output driving-related information of an adjacent vehicle decided using at least one of the communication unit and the sensing unit on the display unit based on a satisfaction of a preset condition.

In variants, the system can include a set of vehicles, cooperatively capable of forming a platoon. Each vehicle within the platoon can be configured to operate based on feedback from other vehicles within the platoon. In examples, a vehicle can selectively brake based on feedback from other vehicles within the platoon.

An unmanned rail vehicle for surveillance, inspection and/or maintenance of an infrastructure, the infrastructure including a rail structure with a rail, the unmanned rail vehicle being movable along the rail and the unmanned rail vehicle including a first position sensor system configured for measuring, by interaction with the rail structure, first position data indicative of a position of the unmanned rail vehicle along the rail, a second position sensor system configured for measuring, by interaction with the rail structure, second position data indicative of a position of the unmanned rail vehicle along the rail, a position determining unit configured for receiving and combining first and second position data to determine the position of the unmanned rail vehicle along the rail.

A system and method for transit of delivery pods across a pipe network, including: a commodity-based pipe network configured to provide a transit for delivery pods; a portal configured to enable insertion and removal of removable totes from pods, the portal including a wireless navigation beacon configured to provide navigation data to pods as they traverse the pipe network within proximity of the portal; an active pod including: a cargo module carrying a removable tote including a payload, a wireless communication module configured to obtain a set of navigation data from the wireless navigation beacon as the active pod approaches a location of the portal; and a control module configured to: (i) record the set of navigation data along with a timestamp indicating a traversal time, and (ii) dynamically update an intended route through the pipe network based on the set of navigation data to generate a modified route.

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.

Personal transportation system includes plurality of personal transportation vehicles (PTVs) driven on a track network with series of track sections. PTV main section has lateral width adapted to contain single occupant. PTV driving mechanism propels PTV and includes track engaging element protruding downwards from main section and having narrow lateral width such that main section is prone to fall over when PTV is at rest. The space between lateral width of main section and track engaging element can be occupied by public infrastructure. Each track section includes a ground portion, minimally adapted to accommodate track engaging element lateral width, and an empty space above ground portion, free of non-transient obstacles and minimally adapted to accommodate main section lateral width. A guidance mechanism guides PTV along track network and prevents PTV deviating from track sections. A stabilization mechanism stabilizes PTV along track network and prevents PTV from falling over when turning/merging/diverging.