Abstract: A vehicle control apparatus operates in various modes, e.g., a normal mode in which plural travel functions of a vehicle are controlled by plural driving functions of a driver; an automatic mode in which all driving functions are performed by the vehicle; an optimization mode in which, when a temporary reduction of driving performance of any of the plural driving functions of the driver is detected, physical stimulation and/or information that makes the driver recognize the temporary reduction of the driving performance is provided to the driver; and an assistance mode in which, when a chronic reduction of the driving performance of any of the plural driving functions of the driver is detected, information on assistance with execution of the driving performance is provided to the driver.

Abstract: A virtual currency management device 50 is configured to: estimate a well-being value (WB value) as a mental activity level of a user A who participates in a give event E; store an amount of legal currency spent in the event E by the user A; generate virtual currency based on the estimated well-being value; store and manage the generated virtual currency in association with the user A; perform processing for selling the managed virtual currency to an investor I (third party), and buying out the virtual currency of the investor I; and set a conversion rate between the virtual currency and the legal currency to be used when the investor I buys or sells the virtual currency, such that the monetary value of the virtual currency increases relative to the legal currency as the stored amount of the legal currency is larger.

Abstract: A recognition timing estimation device configured to estimate a timing of a driver's recognizing action related to a subsequent travel segment of a plurality of travel segments that constitute a traveling course of a vehicle, is provided. The device includes a processor configured to execute a traveling information acquiring module to acquire information related to a driving operation of a driver or the traveling course, a travel segment estimating module to estimate a pause between the travel segments based on the information acquired by the traveling information acquiring module, an eye detecting module to detect a behavior of a driver's eye, and a recognition timing estimating module to estimate the timing of the driver's recognizing action based on a temporal relationship between the pause between the travel segments estimated by the travel segment estimating module and the behavior of the eye detected by the eye detecting module.

Abstract: A driving assist device is provided, which includes a processor configured to execute an inference module to infer that a timing of a line-of-sight movement or blink detected by a camera near a predicted timing is a timing of a recognizing action of a driver for a subsequent travel segment of a plurality of travel segments that constitute a traveling course of a vehicle, an information providing module to provide the driver with assisting information for the subsequent travel segment before the timing of the recognizing action inferred by the inference module, and a providing timing changing module to change a providing timing of the assisting information according to a quantity of the assisting information.

Abstract: A vehicle drive assistance system is provided, which includes one or more processors configured to execute a general driver model learning engine configured to build a general driver model to be applied to a plurality of drivers based on driving data of the drivers, an individual driver model learning engine configured to build an individual driver model unique to a specific driver based on driving data of the driver, and an on-board controller provided in a vehicle operated by the driver. The individual driver model learning engine includes a vehicle control updating program configured to cause the on-board controller to update vehicle control processing based on the general and individual driver models. The vehicle control updating program acquires the driver models and, according to a given condition, determines a driver model based on which the vehicle control processing is updated, between the general and individual driver models.

Abstract: A vehicle drive assistance system is provided, which includes a control unit configured to perform a drive assistance control based on a balance state between a driver's required driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance which is provided to the driver by the vehicle, and a driver's current driving ability. The control unit includes a processor configured to execute a balance determining module to determine the balance state between the required driving ability and the current driving ability based on a physical quantity related to a driving operation by the driver.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute an individual driver model learning engine configured to build an individual driver model unique to a vehicle driver based on driving data of the driver, and an on-board controller provided in a vehicle of the driver and configured to perform particular vehicle control processing. The individual driver model learning engine analyzes a current state of the driver based on the driving data, determines recommending processing that corresponds to the analyzed state based on the individual driver model, and instructs the on-board controller to perform the recommending processing.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute a required driving ability estimating module to estimate a driver's required driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance provided to the driver by the vehicle, a current driving ability estimating module to estimate a driver's current driving ability, and a changing module to perform increase processing in which the required driving ability is increased when the current driving ability is higher than the required driving ability.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute a required driving ability estimating module to estimate a driver's driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance provided to the driver by the vehicle, a current driving ability estimating module to estimate a driver's current driving ability, and a changing module to reduce the required driving ability by performing reduction processing in which comprehension of the traffic environment by the driver is facilitated when the current driving ability is lower than the required driving ability.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute a required driving ability estimating module to estimate a driver's driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance provided to the driver by the vehicle, a current driving ability estimating module to estimate a driver's current driving ability, and a changing module to perform reduction processing in which the required driving ability is reduced when the current driving ability is lower than the required driving ability, the required driving ability being reduced less in a case where the current driving ability is lower than a given threshold compared to a case where the current driving ability is equal to or higher than the given threshold, even when a difference between the required driving ability and the current driving ability is constant.

Abstract: A driving assist device is provided, which includes a processor configured to execute an inference module to infer that a timing of a line-of-sight movement or blink detected by a camera near a predicted timing is a timing of a recognizing action of a driver for a subsequent travel segment of a plurality of travel segments that constitute a traveling course of a vehicle, an information providing module to provide the driver with assisting information for the subsequent travel segment before the timing of the recognizing action inferred by the inference module, and a providing timing changing module to change a providing timing of the assisting information according to a quantity of the assisting information.

Abstract: A recognition timing estimation device configured to estimate a timing of a driver's recognizing action related to a subsequent travel segment of a plurality of travel segments that constitute a traveling course of a vehicle, is provided. The device includes a processor configured to execute a traveling information acquiring module to acquire information related to a driving operation of a driver or the traveling course, a travel segment estimating module to estimate a pause between the travel segments based on the information acquired by the traveling information acquiring module, an eye detecting module to detect a behavior of a driver's eye, and a recognition timing estimating module to estimate the timing of the driver's recognizing action based on a temporal relationship between the pause between the travel segments estimated by the travel segment estimating module and the behavior of the eye detected by the eye detecting module.

Abstract: A vehicle drive assistance system is provided, which includes one or more processors configured to execute a general driver model learning engine configured to build a general driver model to be applied to a plurality of drivers based on driving data of the drivers, an individual driver model learning engine configured to build an individual driver model unique to a specific driver based on driving data of the driver, and an on-board controller provided in a vehicle operated by the driver. The individual driver model learning engine includes a vehicle control updating program configured to cause the on-board controller to update vehicle control processing based on the general and individual driver models. The vehicle control updating program acquires the driver models and, according to a given condition, determines a driver model based on which the vehicle control processing is updated, between the general and individual driver models.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute a required driving ability estimating module to estimate a driver's driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance provided to the driver by the vehicle, a current driving ability estimating module to estimate a driver's current driving ability, and a changing module to reduce the required driving ability by performing reduction processing in which comprehension of the traffic environment by the driver is facilitated when the current driving ability is lower than the required driving ability.

Abstract: A vehicle drive assistance system is provided, which includes a general driver model learning engine configured to build a general driver model to be applied for a plurality of vehicle drivers based on driving data of the plurality of drivers, and an individual driver model learning engine configured to build an individual driver model particular to a specific vehicle driver based on the driving data of the specific driver received from a specific vehicle of the specific driver. The individual driver model learning engine includes a first synchronization engine configured to provide, to the general driver model learning engine, the driving data obtained by executing a first data conversion processing on the driving data of the specific driver.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute a required driving ability estimating module to estimate a driver's driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance provided to the driver by the vehicle, a current driving ability estimating module to estimate a driver's current driving ability, and a changing module to perform reduction processing in which the required driving ability is reduced when the current driving ability is lower than the required driving ability, the required driving ability being reduced less in a case where the current driving ability is lower than a given threshold compared to a case where the current driving ability is equal to or higher than the given threshold, even when a difference between the required driving ability and the current driving ability is constant.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute an individual driver model learning engine configured to build an individual driver model unique to a vehicle driver based on driving data of the driver, and an on-board controller provided in a vehicle of the driver and configured to perform particular vehicle control processing. The individual driver model learning engine analyzes a current state of the driver based on the driving data, determines recommending processing that corresponds to the analyzed state based on the individual driver model, and instructs the on-board controller to perform the recommending processing.

Abstract: A vehicle drive assistance system is provided, which includes a processor configured to execute a required driving ability estimating module to estimate a driver's required driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance provided to the driver by the vehicle, a current driving ability estimating module to estimate a driver's current driving ability, and a changing module to perform increase processing in which the required driving ability is increased when the current driving ability is higher than the required driving ability.

Abstract: A vehicle drive assistance system is provided, which includes one or more processors configured to execute a general driver model learning engine configured to build a general driver model to be applied to a plurality of vehicle drivers based on driving data of the plurality of vehicle drivers, an individual driver model learning engine configured to build an individual driver model unique to a specific driver based on driving data of the specific driver and the general driver model, and a vehicle control changing program configured to change vehicle control processing executed by a specific vehicle operated by the specific driver based at least on the individual driver model.

Abstract: A vehicle drive assistance system is provided, which includes a control unit configured to perform a drive assistance control based on a balance state between a driver's required driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance which is provided to the driver by the vehicle, and a driver's current driving ability. The control unit includes a processor configured to execute a balance determining module to determine the balance state between the required driving ability and the current driving ability based on a physical quantity related to a driving operation by the driver.