Abstract: Provided is a hypertube transport system. Specifically, provided are a magnetically-levitated train and an infrastructure-system in which same travels, comprising: refrigerant for cooling compressed air of a hypertube train, and a compressed air cooling system utilizing the refrigerant; an apparatus and method for controlling trains operating in a vacuum tube; superconducting switches for superconducting magnets for magnetic levitation; a driving stability apparatus for the hypertube transport system; a control apparatus for trains of the hypertube transport system; and an energy harvester.

Abstract: A tube infrastructure includes a first tube; a second tube that is coupled to the first tube; and a fluid tank that is disposed to surround a coupling region of the first tube and the second tube and is filled with a fluid to seal the coupling region, wherein the fluid tank allows negative pressure to be maintained inside the first tube and the second tube.

Abstract: A tube infrastructure includes a first tube; a second tube that is coupled to the first tube; and a fluid tank that is disposed to surround a coupling region of the first tube and the second tube and is filled with a fluid to seal the coupling region, wherein the fluid tank allows negative pressure to be maintained inside the first tube and the second tube.

Abstract: The present disclosure provides a hypertube system for detecting a position of a hypertube vehicle, including a hypertube vehicle, a tube configured to surround a travel path of the hypertube vehicle, At least one LiDAR sensor each mounted on an inner wall of the tube and including a laser transmitter configured to irradiate a laser beam toward the hypertube vehicle and a laser receiver configured to detect a laser, and a reflector configured to reflect the laser irradiated from the LiDAR sensor, wherein the reflector may be disposed in the hypertube vehicle, and wherein the laser beam reflected from the reflector reaches the laser receiver of the LiDAR sensor to be used in detecting the position of the hypertube vehicle.

Abstract: Provided is a hypertube transport system. Specifically, provided are a magnetically-levitated train and an infrastructure-system in which same travels, comprising: refrigerant for cooling compressed air of a hypertube train, and a compressed air cooling system utilizing the refrigerant; an apparatus and method for controlling trains operating in a vacuum tube; superconducting switches for superconducting magnets for magnetic levitation; a driving stability apparatus for the hypertube transport system; a control apparatus for trains of the hypertube transport system; and an energy harvester.

Abstract: A method for reducing data of sensor devices in a vehicle includes collecting detection data periodically from the sensor devices and calculating an average value of the data collected during a cycle. The collected data may be compared with the calculated values and a deviation with previous data may be calculated by an upper and lower value difference method. A difference between the collected data and average values may also be calculated by a deviation method. The calculated value is stored. Data from a plurality of running vehicles may be periodically transmitted to a driving control center in order to monitor devices related to operations of all of the running vehicles in near real time.

Abstract: A method for reducing data of sensor devices in a vehicle includes collecting detection data periodically from the sensor devices and calculating an average value of the data collected during a cycle. The collected data may be compared with the calculated values and a deviation with previous data may be calculated by an upper and lower value difference method. A difference between the collected data and average values may also be calculated by a deviation method. The calculated value is stored. Data from a plurality of running vehicles may be periodically transmitted to a driving control center in order to monitor devices related to operations of all of the running vehicles in near real time.