Methods and systems for improving operation of a vehicle driveline that includes an engine and an automatic transmission with a torque converter are presented. In one non-limiting example, the engine may be stopped while a vehicle in which the engine operates is rolling. A transmission coupled to the engine may be shifted as the vehicle rolls so that vehicle response may be improved if a driver requests an increase of engine torque.

A first electric power generation device configured to produce an accessory voltage according to a first instruction voltage. A second electric power generation device configured to produce the accessory voltage according to a second instruction. An electric control unit is configured to execute crank position stop control for stopping a crank of the engine at a target position when the engine is stopped by controlling the first electric power generation device such that a current is circulated in the first electric power generation device and the rotating electric machine generates braking torque. The electric control unit is configured to execute the crank position stop control in a state in which the second instruction voltage is equal to or higher than the first instruction voltage.

A control device of an automatic drive vehicle includes: an information acquisition unit that acquires power generator information as information on a power generator provided in the automatic drive vehicle; an operation control unit that switches between a first state in which automatic driving of the automatic drive vehicle is executed without restriction and a second state in which the automatic driving is partially or entirely restricted; and a determination unit that determines whether to perform switching to the second state by the operation control unit.

A method provides driver assistance in a motor vehicle in particularly dense and confusing traffic conditions in the low-speed range. It is possible to adjust the distance in dense traffic so that it is not too great whilst at the same time ensuring that the driver does not always have to vary the position of the accelerator pedal. The accelerator is controlled in accordance with the distance and thus the speed or accelerator is automatically throttled as the distance decreases.

A predictive driver intention to stop (DITS) system for a vehicle having an engine includes one or more sensors configured to measure a set of operating parameters of the vehicle including at least (i) vehicle speed and (ii) vehicle deceleration rate. A controller is configured to identify no-stop braking events and complete stop braking events, and reference a generated baseline probability table indicating a probability of a driver braking to bring the vehicle to a stop, based on at least the vehicle speed and vehicle deceleration rate measured during at least one of the identified no-stop braking events and complete stop braking events. The controller is further configured to predict a DITS event based on the generated baseline probability table, and control operation of the engine based on the predicted DITS event to facilitate reducing vehicle fuel consumption and/or tailpipe emissions.

Systems, methods, and computer program products for upgrading a vehicle's functionality based on the manner in which the vehicle is operated. A predefined operating condition of the vehicle that can be assisted by a vehicle feature not presently provided by the vehicle is identified. Thereafter, a notification is communicated to a user interface that indicates availability of the vehicle feature. Subsequently, the vehicle is upgraded to provide the vehicle feature responsive to input to the user interface submitting a request to perform the upgrade.

A method for controlling a start of a mild hybrid vehicle that includes an engine, a starter-generator starting the engine or generating electricity by an output of the engine, a starter starting the engine, and a battery supplying electric power to the starter-generator may include: determining, by a controller configured for controlling an operation of the vehicle, whether a start of the vehicle is requested; checking, by the controller, current limit data of the battery when the start of the vehicle is requested; checking, by the controller, start torque current data of the starter-generator according to state data of the vehicle; comparing, by the controller, the current limit data with the start torque current data; and starting, by the controller, the engine using the starter-generator or the starter according to a result of the comparing, by the controller, the current limit data with the start torque current data.

A vehicle control device includes a recognizer that is configured to recognize a peripheral situation of a vehicle and a driving controller that is configured to execute automated driving for controlling a speed and steering of the vehicle on the basis of a recognition result of the recognizer. The recognizer is configured to recognize a real-time environment including a situation of a nearby vehicle or a situation of a nearby road on which the vehicle travels, and the driving controller is configured to shunt the vehicle to a shunt location to suspend the automated driving in a case where the real-time environment corresponds to a predetermined condition, and resume the automated driving in a case where the predetermined condition is resolved after the shunt.

A start/stop device initiates an automatic activation process of an automatically deactivated drive machine of a motor vehicle, in particular of a motor vehicle with an automatic transmission. The drive machine can be automatically deactivated when the motor vehicle is traveling, and the automatically deactivated drive machine can be activated on the basis of driver actions. The start/stop device is configured to initiate an automatic activation of the drive machine which is automatically deactivated when the motor vehicle is traveling on the basis of a detected drive dynamic desired by the driver.

A method for combating a stop-and-go wave problem using deep reinforcement learning based autonomous vehicles includes selecting one of a plurality of deep reinforcement learning algorithms for training an autonomous vehicle and a reward function in a roundabout environment in which autonomous vehicles and non-autonomous vehicles are driving, determining a deep neural network architecture according to the selected deep reinforcement learning algorithm, learning a policy which enables the autonomous vehicle to drive at a closest velocity to a constant velocity based on state information including a velocity of the autonomous vehicle and a relative velocity and a relative position between the autonomous vehicle and an observable vehicle by the autonomous vehicle at a preset time interval and reward information, using the selected deep reinforcement learning algorithm, and driving the autonomous vehicle based on the learned policy to determine an action of the autonomous vehicle.