A method for quantifying vehicle path following performance, the method comprising; obtaining samples of path following performance (I), selecting a subset of the path following performance samples such that the selected samples follow a pre-determined statistical extreme value distribution, parameterizing the pre-determined statistical extreme value distribution based on the selected samples of path following performance, and quantifying vehicle path following performance based on the parameterized statistical extreme value distribution.

A method for quantifying vehicle path following performance, the method comprising; obtaining samples of path following performance (I), selecting a subset of the path following performance samples such that the selected samples follow a pre-determined statistical extreme value distribution, parameterizing the pre-determined statistical extreme value distribution based on the selected samples of path following performance, and quantifying vehicle path following performance based on the parameterized statistical extreme value distribution.

Systems and methods of providing usage-based maintenance services for a plurality of vehicles arranged in a fleet includes receiving usage data. A usage parameter distribution is generated, and a fleet usage model is generated according to the distribution. The fleet usage model expresses a score as a function of the usage parameter. Also, a score distribution is generated, and a reward model is generated according to the score distribution. The reward model expresses a maintenance reward as a function of the score. Additionally, the score for one of the vehicles is determined using the fleet usage model, and the maintenance reward is determined for the vehicle using the reward model.

Systems and methods of providing usage-based maintenance services for a plurality of vehicles arranged in a fleet includes receiving usage data. A usage parameter distribution is generated, and a fleet usage model is generated according to the distribution. The fleet usage model expresses a score as a function of the usage parameter. Also, a score distribution is generated, and a reward model is generated according to the score distribution. The reward model expresses a maintenance reward as a function of the score. Additionally, the score for one of the vehicles is determined using the fleet usage model, and the maintenance reward is determined for the vehicle using the reward model.

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

Vehicles and methods of operating vehicles are disclosed herein. A vehicle includes a main frame, a work implement, and a control system. The work implement is supported by the main frame and configured to carry a payload in use of the vehicle. The control system is supported by the main frame and configured to control operation of the vehicle. The control system includes a payload measurement system configured to provide payload input indicative of a variable payload carried by the work implement in use of the vehicle and a controller coupled to the payload measurement system.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.

An in-vehicle sensing module for monitoring a vehicle is disclosed, which is advantageous for use in the context of a shared vehicle service, such as a car rental service, an autonomous taxi service, or a ride sharing service. The in-vehicle sensing module at least includes a controller, a cellular transceiver, and one or more integrated sensors configured to monitor a status of the vehicle. The in-vehicle sensing module utilizes appropriate algorithms, models, or thresholds to interpret sensor data and enrich the data with metadata and event detection. The in-vehicle sensing module uploads relevant sensor data, event data, or other metadata to a cloud storage backend, which is made accessible by authorized third-parties.

A method is for detecting the position of at least one mobile, interchangeable load carrier that is movable by a commercial vehicle, in a delimited detection area, in particular a depot, in which the at least one mobile, interchangeable load carrier is moved by vehicles. Accommodation operations and/or offloading events of the mobile, interchangeable load carrier in the detection area are determined by the vehicle as notification events, position data for identifying the position in the detection area are determined for the notification events, and position notification signals are formed by the commercial vehicle from the determined notification events and from the position data, and are transmitted to a communication center of the detection area via a wireless network. In the communication center, the current position data of the load carrier are determined from the received position notification signals and are stored in a memory and continuously updated.

A method is for detecting the position of at least one mobile, interchangeable load carrier that is movable by a commercial vehicle, in a delimited detection area, in particular a depot, in which the at least one mobile, interchangeable load carrier is moved by vehicles. Accommodation operations and/or offloading events of the mobile, interchangeable load carrier in the detection area are determined by the vehicle as notification events, position data for identifying the position in the detection area are determined for the notification events, and position notification signals are formed by the commercial vehicle from the determined notification events and from the position data, and are transmitted to a communication center of the detection area via a wireless network. In the communication center, the current position data of the load carrier are determined from the received position notification signals and are stored in a memory and continuously updated.