A vehicular driving control system for performing vehicular driving control based on automated driving and/or driving assistance is provided. The vehicular driving control system includes a driver operation measuring instrument that measures driving operation of a driver, a user uneasiness degree measuring instrument that measures how large a degree of uneasiness of a user is, and a driving control apparatus. When it is determined that the user feels uneasy based on the user uneasiness degree, the driving control apparatus determines an uneasiness factor serving as a source of the uneasiness based on user property data in relation to a traveling situation of a vehicle. Based on the determined uneasiness factor, the driving control apparatus adjusts a control degree of the vehicular driving control, and changes the vehicular driving control so as to decrease the uneasiness of the user.

Upper and lower limits of one or more parameters are established for each of a plurality of states of operation of a vehicle. One of the plurality of states for operating the vehicle is identified based at least in part on the parameters, data describing a human operator, and data describing an environment around the vehicle. A vehicle subsystem is actuated according to an operation mode corresponding to the current operating state.

A method of controlling a vehicle includes acquiring biometric data of a user in the vehicle, determining first determination information related to inattention of the user based on the biometric data, acquiring driving related information of the vehicle, determining second determination information related to driving complexity based on the driving related information, and determining whether to provide a feedback function to the user based on the first determination information and the second determination information.

Methods, systems, and apparatuses are described for engaging autonomous driving algorithms based on driver frustration levels and vehicle conditions. A frustration level of a driver of a vehicle may be determined using one or more sensors. Based on a determination that the frustration level satisfies a threshold, one or more automated driving algorithms which may be engaged by the vehicle to improve the safety of the driver may be determined. The threshold may be based on a road segment traveled by the vehicle, the user, or similar considerations. Based on a determination that the frustration level satisfies a threshold, engagement of the one or more automated driving algorithms may be caused.

A method of determining driver emotions in conjunction with a driving environment includes determining a basic emotion of a driver, acquiring driving environment information, determining the driver emotion based on the driving environment information and the basic emotion, and providing a service of displaying the driver emotion or a driver-emotion-based service.

A vehicle can be configured to attempt to awaken a sleeping occupant when certain wake-up events have occurred. It can be determined whether a wake-up event has occurred. In one or more arrangements, the wake-up event can relate to the refueling of the vehicle (e.g., fuel level or recharge level). Sensor data relating to a vehicle occupant can be acquired. Based on the acquired sensor data, it can be determined whether the vehicle occupant is sleeping. Responsive to determining that the vehicle occupant is sleeping, the vehicle can cause a wake-up alert to be presented within the vehicle. The wake-up alert can be a visual, audial, and/or haptic wake-up alert.

According to one embodiment, a moving body operation support system includes an acquirer, a microphone, a transceiver, and a processor. The acquirer acquires moving body information relating to a state of a moving body. The microphone is provided in the moving body. The transceiver performs transmitting to and receiving from an operator communication device. The processor implements one of a first operation or a second operation based on the moving body information and instruction information. The instruction information relates to an instruction based on a sound acquired by the microphone. The instruction is of a user riding in the moving body. In the first operation, the processor causes the moving body to perform an operation corresponding to the instruction information. In the second operation, the processor enables communication between the user and the operator by the transmitting and receiving between the transceiver and the operator communication device.

The invention relates to a device for determining the driving behavior of a driver, the device comprising at least means for receiving data from two or more data sources, of which at least one produces data relating to changes in the state of motion of a vehicle and at least one other produces measured data on the well-being of the driver; means for scoring the received data by comparing it with data-specific reference values; means for forming a respective sub-index from each scored item of data; means for determining a driving behavior index on the basis of the formed sub-indices; and means for controlling control equipment of the vehicle on the basis of the driving behavior index and/or for storing the driving behavior index in a database.

A method (400), control device (240) and measuring unit (230) for adapting a control algorithm having at least one driver-dependent parameter, which control algorithm governs the control of a vehicle convoy (200) in which at least a first vehicle 220A with a first driver (210A) and a second vehicle 220B with a second driver (210B) are included. The method includes measurement (401) of at least one physical characteristic of the first driver (210A), determination (402) of the stress level of the driver based on the performed measurement (401), and adaptation (403) of the control algorithm to the determined (402) stress level of the driver.

An apparatus for determining ride comfort of a passenger using brain wave signals includes an analyzer configured to determine first ride comfort information of a passenger based on information on a seating posture of the passenger in a mobility, a sensor configured to collect brain wave signals of the passenger in the mobility for a predetermined time, and a controller configured to control the mobility, wherein the analyzer is configured to determine second ride comfort information obtained by correcting the first ride comfort information, by analyzing the collected brain wave signals based on the first ride comfort information, and wherein the controller is configured to control the mobility based on the determined second ride comfort information.