When a driver is not in pedal erroneous operation inducing situation and a rate of change in an operation amount of an accelerator pedal is equal to or greater than a first erroneous operation determination threshold value, a driving assistance apparatus determines that operation of the accelerator pedal is erroneous operation. When the driver is in the pedal erroneous operation inducing situation and the rate of change in the operation amount of the accelerator pedal is equal to or greater than a second erroneous operation determination threshold value, the riving assistance apparatus determines that the operation of the accelerator pedal is the erroneous operation, and the second erroneous operation determination threshold value is smaller than the first erroneous operation determination threshold value.

Systems and Methods for controlling an autonomous vehicle, may include: receiving sensor data, the sensor data comprising vehicle parameter information for the autonomous vehicle; using the sensor data to determine a vehicle state for the autonomous vehicle, wherein the vehicle state comprises information regarding a magnitude of an actual or predicted effective understeer gradient for the vehicle; computing a yaw moment required to correct the effective understeer gradient based on the magnitude of the effective understeer gradient; and determining a combination of one or more vehicle control inputs, including applying a brake torque, to correct the effective understeer gradient; applying the brake torque to a single wheel of the vehicle, wherein an amount of brake torque applied is sufficient to lock up the single wheel to create a yaw moment on the vehicle to achieve the computed yaw moment required to correct the effective understeer gradient.

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

A vehicle control device includes a travel environment recognition device configured to recognize travel environment, a vehicle travel state detection device, and an autonomous/manual driving mode controller. The autonomous/manual driving mode controller includes a learning correction unit configured to store at least one of a plurality of control parameters indicating the vehicle travel state by operation of the driver in the autonomous driving mode, and to correct the control parameter in the autonomous driving mode according to the stored control parameter. When the stored control parameter is the control parameter changed by an operation by the driver midway in passing or after passing, the learning correction unit is configured to correct the control parameter in the autonomous driving mode so that an acceleration level or the deceleration level is increased midway in passing or after passing.

A modular electric vehicle comprising a single module(s) with an electric driving system and a vehicle control unit, the modular vehicle is configured to be selectively articulated to a master vehicle and to be controlled from a selectable control source via the vehicle control unit either in a first, articulated mode, or in a second, autonomous mode. The control source may be selected to be in communication with a first gateway installed at the master vehicle or a second gateway installable at the modular vehicle. The modular electric vehicle may comprise a pair of single modules coupled to one another in tandem and in data and control communication with one another. The modules may each be configured to serve a master or a slave vehicle, so that any of the modules may serve a master vehicle, whenever required for the autonomous mode.

A vehicle management device includes: a sensor information acquisition section configured to acquire information from a sensor unit installed at a vehicle to be used by a user through a subscription service; a wear state estimation section configured to estimate a state of wear of an expendable part of the vehicle from the acquired information; a maintenance cost information acquisition section configured to acquire information regarding a maintenance cost of the expendable part from the estimated state of wear of the expendable part; and an incentive awarding section configured to award an incentive to the user of the vehicle according to the acquired maintenance cost information.

A sensor and/or control device for a vehicle. The sensor and/or control device includes an electronics unit configured to read out and/or establish during at least a single actuation of a brake actuation element of the vehicle by a driver of the vehicle, an adjustment travel of the brake actuation element, an adjustment speed of the brake actuation element and/or an adjustment acceleration of the brake actuation element, based on at least one signal provided to the electronics unit. The electronics unit configured to establish a temporal average and/or a temporal frequency distribution each of the adjustment travel of the brake actuation element, of the adjustment speeds of the brake actuation element and/or of the adjustment accelerations of the brake actuation element as at least part of a piece of driver-characterizing braking and/or driving style information.

A through the road (TTR) hybridization strategy is proposed to facilitate introduction of hybrid electric vehicle technology in a significant portion of current and expected trucking fleets. In some cases, the technologies can be retrofitted onto an existing vehicle (e.g., a truck, a tractor unit, a trailer, a tractor-trailer configuration, at a tandem, etc.). In some cases, the technologies can be built into new vehicles. In some cases, one vehicle may be built or retrofitted to operate in tandem with another and provide the hybridization benefits contemplated herein. By supplementing motive forces delivered through a primary drivetrain and fuel-fed engine with supplemental torque delivered at one or more electrically-powered drive axles, improvements in overall fuel efficiency and performance may be delivered, typically without significant redesign of existing components and systems that have been proven in the trucking industry.

The present invention relates to a method for operating a driver model for controlling a vehicle. Acc.sup.Vehicle speed (kph) ntion, a vehicle .sub.Accelerator pedal [%] cle is selected and activated by the driver model from a number of vehicle statuses (301, 303, 305, 307, 309) by comparing a current status of the vehicle with at least one selection condition specified for a particular vehicle status, the number of vehicle statuses (301, 303, 305, 307, 309) comprising at least a first vehicle status (301, 303, 305, 307, 309) and a second vehicle status (301, 303, 305, 307, 309). Furthermore, the driver model, on activation of a particular vehicle status (301, 303, 305, 307, 309), enables at least one control command assigned to the vehicle status (301, 303, 305, 307, 309) for modifying a setting of the vehicle, wherein a plurality of changes are made by the driver model between a currently activated vehicle status (301, 303, 305, 307, 309) and at least one further vehicle status (301, 303, 305, 307, 309) and, for at least one change of the plurality of changes, a coasting status (303), in which the vehicle is coasting, is activated before any activation of the further vehicle status (301, 303, 305, 307, 309) by the driver model.

A mobility service management system manages a mobility service utilizing a mobility service vehicle that runs via a stop position. A stop position reservation database indicates a reservation status of each stop position. A reservation request includes a target stop position and a target stop time specified by a user. The mobility service management system determines, based on the stop position reservation database, whether the target stop position is available in a target stop period including the target stop time. When the target stop position is available in the target stop period, the mobility service management system reserves the target stop position in the target stop period for a first mobility service vehicle assigned to the user. The first mobility service vehicle runs in accordance with a first operation pattern that arrives and stops at the target stop position within the reserved target stop period.