Hybrid or fully electric vehicle comprising: a conventional braking system based on friction bodies to brake the motor vehicle by interaction of the friction bodies in response to the operation of a brake pedal or any other equivalent control member, a reversible electric machine operatively coupled to the wheels of the vehicle and electronically controllable to operate selectively as an electric engine to generate a mechanical power to propel to the vehicle and as an electric generator to convert the kinetic energy of the motor vehicle into electrical energy, and an automotive electronic control system comprising a sensory system to measure automotive quantities, and an electronic control unit to control operation of the conventional braking system and of the electric machine in response to the operation of the brake pedal or any other operationally equivalent control member. The electronic control unit is further configured to control operation of: the electric machine to selectively perform one or more functions including regenerative braking, in which the electric machine is operated as an electric generator to recover the kinetic energy of the motor vehicle during braking and convert it into electrical energy, and the conventional braking system to clean the friction bodies of the conventional braking system based on the number of brakings performed by the conventional braking system and counted starting from the start-up of the motor vehicle.

An apparatus for controlling a distance from a front vehicle includes a receiver to receive information on a host vehicle and information on the front vehicle, an acceleration generator to generate one of first acceleration for the host vehicle or second acceleration for the host vehicle, based on the received information on the host vehicle and the received information on the front vehicle and an output device to output the generated first acceleration or the generated second acceleration.

Methods and systems are provided for improving vehicle speed measurements. A vehicle may detect the impact of a roadway irregularity to its front wheels and its rear wheels, and may calculate an instantaneous vehicle speed on the basis of its wheelbase and an elapsed time between the two impacts. This instantaneous vehicle speed may then be used to calculate one or more correction factors which may be used to correct a conventionally-acquired vehicle speed measurement, an operational parameter of the vehicle underlying such measurements (such as a wheel size or a final drive ratio), or both.

An incentive granting system grants an incentive to CO.sub.2 reduction traveling by a user of the vehicle that directly or indirectly emits CO.sub.2. The incentive granting system includes one or more processors, and is configured to grant a reward point to the user, in the vehicle traveling from a current location to a destination, based on at least one of selection of a traveling route in which a CO.sub.2 emission amount is reduced with respect to a standard traveling route, selection of a traveling mode, and reduction of an actual CO.sub.2 emission amount with respect to a standard CO.sub.2 emission amount.

This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

Methods and systems are described for vehicle coasting optimization. The system may include a vehicle having an engine, a drivetrain, and an accelerator. The system may include selecting a fuel-saving mode based on an anticipated braking requirement in response to detecting the vehicle is non-stationary and the accelerator is disengaged. The system may include generating an instruction corresponding the selected fuel-saving mode, wherein the instruction is configured to control at least the engine and the drivetrain.

This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

In one embodiment, a speed planning system receives speed limit information for an autonomous driving vehicle (ADV), where the speed limit information includes a change in road speed limit for a current road of the ADV. The system determines a tapered speed limit corresponding to the current road based on the speed limit information, where the tapered speed limit correspond to a gradual speed reduction from a first road speed limit to a second road speed limit. The system determines a cost function based on the tapered speed limit and the first and second road speed limits. The system generates a number of trajectory candidates based on the cost function. The system selects a trajectory based on the trajectory candidates to control the ADV using the selected trajectory.

A control device for a vehicle is a control device provided on a vehicle which includes a positional information acquisition part configured to acquire positional information of the vehicle and a turning amount acquisition part configured to acquire a turning amount of the vehicle, the control device for a vehicle including a starting point specifying part configured to specify a departure place of the vehicle on the basis of the positional information, a measurement starting point setting part configured to set a measurement starting point of a turning amount of the vehicle on the basis of the positional information, a traveling route recording part configured to record the measurement starting point and the turning amount of the vehicle, and a scheduled route estimating part configured to estimate a scheduled traveling route of the vehicle on the basis of the recorded measurement starting point and the recorded turning amount.

Disclosed is a vehicle fuel economy evaluation method based on data analysis. The method combines data processing and a fuel model with an enhanced learning mechanism to predict fuel consumption, analyze driving behavior and output an improvement suggestion. With continuous enhanced learning and long-term dynamic improvement, the model will be able to predict economic fuel consumption in an increasingly accurate way, along with specific and intuitive driving behavior suggestions to help drivers to drive economically.