An electrified tractor includes a vehicle body, a working machine, an electric motor, a battery, an inverter that controls input-output electric power of the battery. The electrified tractor includes a control device that controls the inverter. The control device executes a restriction process, a charging rate calculation process and a relaxation process. In the restriction process, the control device controls the inverter such that the input and output of the battery is restricted within a prescribed electric power range, when a state of the battery satisfies a restriction condition. In the charging rate calculation process, the control device calculates a charging rate of the battery when it is assumed that a work is finished in a farming field, as an estimated charging rate. In the relaxation process, the control device expands the prescribed electric power range, when the estimated charging rate is higher than a first prescribed charging rate.

In a computer-implemented method of assessing driving performance using route scoring, driving data indicative of operation of a vehicle while the vehicle was driven on a driving route may be received. Road infrastructure data indicative of one or more features of the driving route may also be received. A route score for the driving route may be calculated using the road infrastructure data, and a driving performance score for a driver of the vehicle may be calculated using the driving data and the route score for the driving route. Data may be sent to a client device via a network to cause the client device to display the driving performance score and/or a ranking based on the driving performance score, and/or the driving performance score may be used to determine a risk rating for the driver of the vehicle.

Operating conditions corresponding to a harvesting operation being performed by a mobile harvesting machine are detected along with a priority of a first performance pillar metric relative to a second performance pillar metric. An operating characteristic of the mobile harvesting machine is detected and a performance pillar metric value is identified for the first performance pillar metric based on the detected operating characteristic. A performance limitation corresponding to the first performance pillar metric is identified based on the detected operating conditions and an aggressiveness setting is detected that is indicative of an operating settings change threshold. It is then determined whether a settings change is to be performed based on the first performance pillar metric value, the priority of the first performance pillar metric, the first performance limitation and the settings change threshold and if the settings change is to be performed, a settings change actuator is controlled to execute the settings change.

A method, a device, and a system for processing information of a vehicle are disclosed. In the embodiments, information about a connected vehicle is acquired, and a display image of a virtual vehicle is generated; driving information of the connected vehicle is acquired; whether the vehicle is currently in a driving state is determined according to the driving information; and when the connected vehicle is in the driving state, an orientation of a head of the virtual vehicle is adjusted to keep consistency with an orientation of a head of the connected vehicle; and when the connected vehicle is in a non-driving state, an orientation of a head of the virtual vehicle is adjusted towards a location of the connected vehicle. The present disclosure can feed back a vehicle condition in real time, dynamically and truly, and position a vehicle more accurately.

An input unit 81 receives input of a normal pattern file including information indicating a normal condition of a vehicle, and a fault pattern file including information indicating a sign that a vehicle fault is about to occur. A collection unit 82 collects observation data observed by each device in the target vehicle. A comparison unit 83 compares the content of the normal pattern file with the content of the observation data. when the difference between the content of the normal pattern file and the content of the observation data is greater than a predetermined first threshold value, the comparison unit 83 further compares the content of the fault pattern file and the observation data, and when the difference between the content of the fault pattern file and the observation data is within a predetermined second threshold value, determines that there is the sign of the fault in the target vehicle.

A marine vessel management system to reduce the burden on a marine vessel rental business operator includes a marine vessel, an information processor, and a portable terminal device operable by a marine vessel user. When the marine vessel is leaving a port and/or when the marine vessel is returning to the port, the portable terminal device receives information about a state of the marine vessel via the information processor, and displays the received information about the state of the marine vessel.

The present disclosure provides systems and methods to obtain feedback descriptive of autonomous vehicle failures. In particular, the systems and methods of the present disclosure can detect that a vehicle failure event occurred at an autonomous vehicle and, in response, provide an interactive user interface that enables a human located within the autonomous vehicle to enter feedback that describes the vehicle failure event. Thus, the systems and methods of the present disclosure can actively prompt and/or enable entry of feedback in response to a particular instance of a vehicle failure event, thereby enabling improved and streamlined collection of information about autonomous vehicle failures.

In an information provision server as an information provision device, a processor is configured to receive vehicle information on a vehicle, generate maintenance recommendation information for prompting a user to implement maintenance of the vehicle based on the vehicle information, and provide the user with the maintenance recommendation information and value information that is usable when the maintenance is implemented based on the maintenance recommendation information.

A method of determining a vehicle health score for a vehicle includes receiving location information associated with a location of the vehicle and identifying at least one location-specific health factor based on the received location information. The method further includes receiving diagnostic data from the vehicle, with the diagnostic data including data points associated with several different heath factors including the at least one location-specific health factor, each health factor being associated with an acceptable condition. The received diagnostic data is compared with the acceptable conditions for each health factor and a preliminary score for each health factor is assigned based on the comparison. A weight is assigned to each of the preliminary scores and a comprehensive vehicle health score is calculated based on each of the weighted preliminary scores. The comprehensive vehicle health score is then displayed on a display.

An evaluating apparatus is provided with: a first acquirer configured to obtain a feature value indicating driving behavior of a driver; a classifier configured to classify a plurality of feature values obtained from a plurality of drivers, into a plurality of groups; a second acquirer configured to obtain the feature value that is representative in each of the plurality of groups, as a representative feature value; a ranking device configured to give a rank corresponding to a driving carefulness degree, to each of the plurality of groups, on the basis of the representative feature value; and a determinator configured to determine a driver type corresponding to the driving carefulness degree of the driver, on the basis of a rank of a group into which the feature value of the driver is classified.