Methods, systems, apparatuses, and computer program products for predictive maintenance of an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of predictive maintenance of a UAV includes a maintenance controller detecting a deviation in an expected behavior of a UAV and determining whether to attribute the deviation to any environmental interferences. In this example embodiment, after determining to not attribute the deviation to any environmental interferences, the maintenance controller schedules the UAV for maintenance.

Methods, systems, apparatuses, and computer program products for predictive maintenance of an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of predictive maintenance of a UAV includes a maintenance controller detecting a deviation in an expected behavior of a UAV and determining whether to attribute the deviation to any environmental interferences. In this example embodiment, after determining to not attribute the deviation to any environmental interferences, the maintenance controller schedules the UAV for maintenance.

An acquisition unit that acquires vehicle information related to a vehicle state of a vehicle; a determination unit that determines whether the vehicle has traveled in a state in which energy consumption efficiency of the vehicle is poor within a predetermined time from a predetermined driving operation of the vehicle based on the vehicle information acquired by the acquisition unit; and a display control unit that causes a display unit to display the number of times of traveling in the state per unit time within the predetermined time from the predetermined driving operation, the traveling being determined by the determination unit, are included.

An acquisition unit that acquires vehicle information related to a vehicle state of a vehicle; a determination unit that determines whether the vehicle has traveled in a state in which energy consumption efficiency of the vehicle is poor within a predetermined time from a predetermined driving operation of the vehicle based on the vehicle information acquired by the acquisition unit; and a display control unit that causes a display unit to display the number of times of traveling in the state per unit time within the predetermined time from the predetermined driving operation, the traveling being determined by the determination unit, are included.

A computer-implemented method comprising: providing data of at least one of distance, time, and velocity as at least one trajectory feature, the data defining a plurality of vehicle trajectories; computing for each vehicle trajectory a plurality of meta-features by computing, based on the data, at least one of a maximum value, a mean value, and a standard deviation of at least one of the at least one trajectory feature of each vehicle trajectory, so that each vehicle trajectory is represented by a point in a meta-feature space, the point defined by the plurality of meta-features; implementing a clustering algorithm on the points and selecting, based on a result of the clustering algorithm, at least one point as an anomaly; and selecting the at least one vehicle trajectory corresponding to the at least one point as at least one anomalous vehicle trajectory.

A computer-implemented method comprising: providing data of at least one of distance, time, and velocity as at least one trajectory feature, the data defining a plurality of vehicle trajectories; computing for each vehicle trajectory a plurality of meta-features by computing, based on the data, at least one of a maximum value, a mean value, and a standard deviation of at least one of the at least one trajectory feature of each vehicle trajectory, so that each vehicle trajectory is represented by a point in a meta-feature space, the point defined by the plurality of meta-features; implementing a clustering algorithm on the points and selecting, based on a result of the clustering algorithm, at least one point as an anomaly; and selecting the at least one vehicle trajectory corresponding to the at least one point as at least one anomalous vehicle trajectory.

A method for monitoring an operability of a vehicle, the method including the steps of: traveling a route, which is defined, with the vehicle; detecting at least one power parameter of the vehicle, the at least one power parameter being characteristic for a power of a drive of the vehicle; comparing, in a first comparison, the at least one power parameter with historical data regarding the route traveled; and evaluating the operability of the vehicle based on the first comparison.

A method for monitoring an operability of a vehicle, the method including the steps of: traveling a route, which is defined, with the vehicle; detecting at least one power parameter of the vehicle, the at least one power parameter being characteristic for a power of a drive of the vehicle; comparing, in a first comparison, the at least one power parameter with historical data regarding the route traveled; and evaluating the operability of the vehicle based on the first comparison.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a user device that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route, as well as to reliably signal about energy consumption by the motor vehicle and the ways of reducing its energy consumption.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a user device that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle on the specific portion of the route, as well as to reliably signal about energy consumption by the motor vehicle and the ways of reducing its energy consumption.