The disclosure relates to a motor vehicle that loads a motor vehicle movement dataset (KBD) indicative of accelerations of the motor vehicle, loads a passenger movement dataset (PBD) indicative of movements of a passenger of the motor vehicle, evaluate the motor vehicle movement dataset (KBD) and the passenger movement dataset (PBD) by means of a transfer function with a predetermined threshold value (SW) in order to generate an image dataset (BS) for an infotainment system of the motor vehicle, and outputs the image dataset (BS) by means of the infotainment system.

A method of controlling a vehicle accessory includes determining a transmission of a vehicle is in a non-park setting; in response to determining the transmission of the vehicle is in the non-park setting, receiving speed data indicative of a speed of the vehicle; determining a speed to operate the vehicle accessory based on the vehicle speed; comparing the determined speed to operate the vehicle accessory to a speed threshold; and in response to determining that the determined speed is below the speed threshold, providing a command to the vehicle accessory to one of deactivate the vehicle accessory or operate the vehicle accessory at a reduced operating state relative to a current operating state of the vehicle accessory.

Among other things, one or more techniques and/or systems are provided for providing users with access to a route for travelling. A user, of a client device, may send a request for access to the route to a route planning service. The route may correspond to a starting location and an ending location. The route planning service may query a route database to identify an entry indicating that a restricted access road segment (e.g., a high occupancy vehicle lane, a shoulder lane, a bus lane, etc.) and/or a road segment (e.g., comprising a traffic light alteration capability) exists between the starting location and the ending location. Responsive to successfully authorizing the user for travelling the restricted access road segment and/or the road segment, the route, comprising the restricted access road segment and/or the road segment, may be provided to the client device.

A vehicle fuel mileage determining system includes a fuel consumption measuring device, a distance measuring device, a display configured to display fuel mileage data and a controller. The controller is coupled to the fuel consumption measuring device, the distance measuring device and the display. The controller is configured to calculate fuel mileage data using baseline data, data from the fuel consumption measuring device and data from the distance measuring device. The controller further shows the fuel mileage data calculated on the display. The controller is further configured to determine the baseline data as follows: in response to a reset condition being detected, the controller defines the baseline data as being equal to initial factory settings; and in response to the reset condition not being detected, the controller defines the baseline data as being equal to previously determined fuel and distance data.

A computing system for a vehicle is provided. The computing system includes one or more processors for controlling operation of the computing system, and a memory for storing data and program instructions usable by the one or more processors. The processors are configured to execute instructions stored in the memory to determine if a vehicle fuel level or battery power level is below a predetermined threshold. If the vehicle fuel level or battery power level is below the threshold, it is determined if at least one energy conservation measure has been pre-selected by a user. If at least one energy conservation measure has been pre-selected by a user, it is determined whether or not a user approves implementation of the at least one energy conservation measure. If a user approves implementation of the at least one energy conservation measure, the at least one energy conservation measure is implemented.

A vehicle according to the present disclosure includes an engine configured to autostop and autostart during a drive cycle. The vehicle additionally includes a user interface and a controller. The controller is configured to present on the user interface a metric indicative of a quantity of engine autostops during a drive cycle.

In one example, a method includes, transitioning, by an in-vehicle computing system and responsive to determining that a vehicle that includes the in-vehicle computing system is idle, into a maintenance mode during which the in-vehicle computing system is not likely to be accessed by an occupant of the vehicle; while operating in the maintenance mode, performing, by the in-vehicle computing system, one or more maintenance tasks; in response to determining that no maintenance tasks are scheduled or that performance of the one or more maintenance tasks are complete, transitioning, by the in-vehicle computing system, into a low-power mode, wherein the in-vehicle computing system consumes a greater amount of power when operating in the maintenance mode than when operating in the low-power mode; and periodically transitioning, by the in-vehicle computing system and from the low-power mode, into the maintenance mode to determine whether any new maintenance tasks are available.

There is a need to predict a driving environment with high responsiveness by a simple configuration. There is provided a driving environment prediction device that predicts a driving environment of a vehicle that causes a vehicle stop. The driving environment prediction device comprises: a first vehicle stop time rate calculator which is configured to calculate a rate of vehicle stop time in a first period, as a first vehicle stop time rate (shorter-period vehicle stop time rate); a second vehicle stop time rate calculator which is configured to calculate a rate of vehicle stop time in a second period which is longer than the first period, as a second vehicle stop time rate (longer-period vehicle stop time rate); and a driving environment predictor which is configured to predict the driving environment, based on the shorter-period vehicle stop time rate and the longer-period vehicle stop time rate.

Described herein is a computer-implemented method for estimating a true fuel level of a vehicle. The method comprises: accessing an estimate as to a current state of the vehicle, the current state of the vehicle comprising a current fuel level state; predicting the state of the vehicle at a future time based on the current state of the vehicle; accessing a measured state of the vehicle based on sensor data; estimating a true state of the vehicle based on the predicted state of the vehicle and the measured state of the vehicle, the true state of the vehicle comprising an estimate as to the true fuel level of the vehicle; and outputting the estimated true fuel level of the vehicle.

Excess fuel consumption monitor and feedback systems for vehicles include sensor arrays of two primary types including those sensors deployed as part of a vehicle manufacturer established sensor suite and sensors deployed as after-market sensors. Together, these sensor suites include sensors coupled to vehicle subsystems and operating environments associated with the vehicle. Data from these sensors may be used as parametric inputs to drive algorithmic calculations which have outputs that express excess fuel consumption. Expressions of excess fuel consumption may be made instantaneously as real-time feedback to a vehicle operator/driver and/or a fleet manager as part of a summary report.