Abstract: A vehicle allocation device for allocating a vehicle in response to a vehicle allocation request from a user terminal, includes a vehicle selector configured to select a vehicle having a relatively small learning amount in a category learnable while a user is driving from a plurality of vehicles learning a relation between input and output of a parameter related to traveling for each predetermined category in response to acquiring the vehicle allocation request, and output a vehicle allocation instruction to the selected vehicle.

Abstract: A vehicle allocation device for allocating a vehicle in response to a vehicle allocation request from a terminal of a user includes a vehicle selection unit configured to select, from a plurality of vehicles learning a relationship between input parameters and an output parameter related to traveling, a vehicle having relatively large learning progress in the relationship between the input parameters and the output parameter, and output a vehicle allocation instruction to the selected vehicle in a case where the vehicle allocation request is received.

Abstract: A vehicle allocation device allocates a vehicle in response to a vehicle allocation request from a terminal of a user. The vehicle allocation device includes a vehicle selection unit configured to select a vehicle having relatively small learning progress of an input/output relationship of parameters depending on a scheduled traveling area where the user is traveling, from a plurality of vehicles learning an input/output relationship of parameters depending on a predetermined area, and output a vehicle allocation instruction to the selected vehicle in a case where the vehicle allocation request is received.

Abstract: A vehicle allocation device allocates a vehicle in response to a vehicle allocation request from a terminal of a user, and includes a vehicle selector configured to, when acquiring the vehicle allocation request, select a vehicle having a relatively large degree of progress in learning of a relation between input and output of a parameter depending on an area to be traveled by the user from a plurality of vehicles learning a relation between input and output of a parameter depending on a predetermined area, and output a vehicle allocation instruction to the selected vehicle.

Abstract: A vehicle allocation device for allocating a vehicle in response to a vehicle allocation request from a user terminal, includes a vehicle selector configured to select a vehicle having a relatively large learning amount in a category learnable while a user is driving from a plurality of vehicles learning a relation between input and output of a parameter related to traveling for each predetermined category in response to acquiring the vehicle allocation request, and output a vehicle allocation instruction to the selected vehicle.

Abstract: There is provided a non-transitory computer-readable recording medium in which a program is recorded, the program causing a computer to function as: a communication unit that receives a beacon signal from an electronic apparatus; and a processing unit that controls communication of the communication unit, in which the processing unit performs notification processing of a backup function of backup data into the electronic apparatus in a case where it is determined that the electronic apparatus from which the beacon signal is transmitted is an apparatus having a backup function and that a distance from the electronic apparatus is equal to or smaller than a predetermined threshold value based on a reception radio wave intensity of the beacon signal.

Abstract: A vehicle controller includes a processor configured to input an operating-condition parameter indicating an operating condition of a device into a learning model to calculate a control parameter indicating a control condition for causing the device to perform a desired operation corresponding to the operating-condition parameter; correct the control parameter so as to achieve the control condition, based on a feedback value depending on an operation evaluating value; control the device in accordance with the control parameter when a predetermined accuracy condition concerning accuracy of control of the device performed in accordance with the control parameter is satisfied, and controls the device in accordance with the corrected control parameter when the predetermined accuracy condition is not satisfied.

Abstract: A non-transitory storage medium for use in an information processing device in a vehicle control system.

Abstract: A model diagnosis device includes a communication device able to communicate with a plurality of vehicles in each of which learning of a neural network model is performed and a learned neural network model is generated, a storage device, and a control device judging abnormality of the learned neural network model. The control device stores values of an output parameter output from the learned neural network model for predetermined values of input parameters in the storage device, when receiving a new learned neural network model or a value of an output parameter output from the new learned neural network model for the predetermined values of the input parameters from one vehicle of the plurality of vehicles through the communication device, performs statistical processing on the value of the output parameter, and judges abnormality of the new learned neural network model based on a result of the statistical processing.

Abstract: A CO2 trapping device mounted in a hybrid vehicle, provided with a branch passage branched from an exhaust passage, a CO2 trapping part provided at the branch passage and trapping CO2 in inflowing exhaust gas, a cooling part using electric power of the battery to cool the CO2 trapping part, a flow controlling part controlling an amount of flow of the exhaust gas flowing into the branch passage, and a CO2 trapping control part controlling the cooling part and the flow controlling part, the CO2 trapping control part controlling the flow controlling part so as to make the cooling part stop cooling and to shut off the flow of the exhaust gas to the CO2 trapping part when a charging rate of the battery becomes a predetermined SOC threshold value or less.

Abstract: An information management system includes: a plurality of CO2 recovery devices configured to recover CO2; a CO2 collection station configured to collect CO2 recovered by the plurality of CO2 recovery devices; a CO2 using facility configured to use CO2 collected at the CO2 collection station; and an information management device including a communication unit configured to transmit linked information in which intended use information indicating intended use of CO2 in the CO2 using facility and an amount of use for the intended use is linked with identification information of a user of each of the plurality of CO2 recovery devices to an information communication terminal used by the user.

Abstract: A control support device for supporting control of a vehicle using a learned model obtained by machine learning, includes: a data acquisition unit acquiring sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning; a learning unit generating a learned model by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit and is data including input parameters and an output parameter of the learned model; and a transmission unit Transmitting at least one of the generated learned model and an output parameter calculated by inputting sensor information of the vehicle, control of which is supported, to the generated learned model as an input parameter.

Abstract: A display device of a vehicle on which a CO2 recovery device is mounted, the CO2 recovery device through which gas circulates recovering carbon dioxide from the gas, the display device includes: a controller configured to control the vehicle, the controller including a recovery state determination unit configured to determine a recovery amount or a recovery state of the carbon dioxide recovered by the CO2 recovery device and an image data creation unit configured to create image data corresponding to the recovery amount or the recovery state detected by the recovery state determination unit; and a display screen configured to receive the image data and display an image corresponding to the image data, wherein the image data and the image vary depending on the recovery amount or the recovery state.

Abstract: A control device of an internal combustion engine is configured to output a predicted value of an output parameter by using a learning model if actually measured values of input parameters are input, control the internal combustion engine based on the predicted value of the output parameter, learn the learning model by using a gradient method and by using a combination of actually measured values of the input parameters and an actually measured value of the output parameter as teacher data, and adjust the learning rate so that the learning is performed by a smaller learning rate when an amount of noise superposed on an actually measured value of at least one parameter among the input parameters and the output parameter is relatively large compared with when the amount of noise superposed on the actually measured value of the parameter is relatively small.

Abstract: A vehicle 100 comprises a fuel tank for storing fuel, a fueling port for supplying the fuel tank with fuel, a CO2 recovery device configured to recover CO2, a CO2 collection port for collecting CO2 from the CO2 recovery device, and a single openable lid configured to cover both the fueling port and the CO2 collection port.

Abstract: A vehicle provided with a rechargeable battery, a charging port connected to a charging cable for supplying the battery with electric power of an outside power source, a CO2 recovery device for recovering CO2, a CO2 collection port connected to a collection hose for collecting CO2 from the CO2 recovery device, and a single openable lid covering both the charging port and the CO2 collection port.

Abstract: A control system for a vehicle having a CO2 capturing device configured to capture CO2 certainly from gas streams. The CO2 captured by the CO2 capturing device is desorbed from the CO2 capturing device by an energy available in the vehicle. A controller is configured to discharge the CO2 captured by the CO2 capturing device into the recovery station by energy delivered from the recovery station to the CO2 capturing device when the energy available in the vehicle is less than a predetermined value.

Abstract: A control system includes a motor-generator, an electric power generation system, and a battery. An EV operation, in which the electric motor is operated while the electric power generation system is stopped, is performed, when an SOC of the battery is higher than a first value, and an HV operation, in which the electric motor is operated while the electric power generation system is operated, is performed, when the SOC is lower than the first value. At the time of the EV operation, in response to a predicted value of the SOC being equal to or higher than a second set value which is lower than the first set value, the EV operation is continued even if the SOC falls below the first value. The predicted value is a predicted value of the SOC assuming continuation of the EV operation from a current location to a destination.

Abstract: An information management system provided with a plurality of external devices able to send and receive information and a server configured to be able to communicate with the external devices. The external devices are configured to send to the server the amounts of CO2 recovery recovered by the vehicles provided with the CO2 recovery devices. The server is configured to add up and manage the amounts of CO2 recovery sent from the external device.

Abstract: A CO2 trapping device mounted in a hybrid vehicle, provided with a branch passage branched from an exhaust passage, a CO2 trapping part provided at the branch passage and trapping CO2 in inflowing exhaust gas, a cooling part using electric power of the battery to cool the CO2 trapping part, a flow controlling part controlling an amount of flow of the exhaust gas flowing into the branch passage, and a CO2 trapping control part controlling the cooling part and the flow controlling part, the CO2 trapping control part controlling the flow controlling part so as to make the cooling part stop cooling and to shut off the flow of the exhaust gas to the CO2 trapping part when a charging rate of the battery becomes a predetermined SOC threshold value or less.