An apparatus for controlling a track-mounted vehicle includes at least one processor, and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to: obtain information on a path to be followed by the track-mounted vehicle; obtain information on at least one characteristic affecting movement control of the track-mounted vehicle; determine a position of a control point in relation to the track-mounted vehicle based on the at least one characteristic; and control movement of the track-mounted vehicle based on the path and the control point, wherein the control point is configured to be aligned with the path to cause the track-mounted vehicle to follow the path.

The present disclosure provides a parameter selection device for a work machine that enables the work machine to efficiently travel at a work site where a travel route or a slope changes from moment to moment. The parameter selection device includes a parameter selection section. The parameter selection section calculates an average loaded travel distance per cycle, a travel ratio for each slope in loaded travel, and a virtual travel distance for each slope per cycle of the work machine (processing P1-P3). Further, the parameter selection section calculates a predicted fuel consumption amount for each slope per cycle, a travel time for each slope per cycle, a predicted fuel consumption amount per unit load weight, and a predicted production amount per cycle (processing P4-P8). Then, the parameter selection section selects a recommended parameter set, based on the predicted fuel consumption amount and the predicted production amount per cycle for each parameter set (processing P9).

According to an example aspect of the present invention, there is provided a method including detecting a first position of a mining vehicle with reference to a first worksite model, receiving information on a plurality of transformation matrices associated with the first worksite model, selecting a transformation matrix associated with the first worksite model based on the first position of the mining vehicle, performing, based on the selected transformation matrix, a coordinate transformation from input coordinates indicative of a second position of the mining vehicle in the first worksite model to transformed coordinates of a second worksite model, and providing the transformed coordinates to represent the second position of the mining vehicle for performing mining automation control based on the second worksite model.

A management system of a workplace includes: an expected time calculation unit that calculates an expected time at which an unmanned haul vehicle arrives at a work area; and a water-sprinkling condition decision unit that decides a water-sprinkling condition of an unmanned water-sprinkling vehicle in the work area based on the expected time.

An unmanned vehicle management system includes a first unmanned vehicle including a target position sensor that detects a relative position with respect to a loader, a second unmanned vehicle including a dump body onto which a load is loaded by the loader, and a management device that manages travel of each of the first unmanned vehicle and the second unmanned vehicle.

A controller that controls a dump truck in such a manner that the dump truck travels on a travelling route and stops at a loading specified position is provided in the dump truck. The controller computes, from travelling route data, a front-rear direction (a first stop direction) of the dump truck in a case in which the dump truck has travelled on the travelling route and stopped at the loading specified position, and corrects the travelling route to compute a post-correction travelling route including the loading specified position as an end point in such a manner that an excavator is located on an extension line of the front-rear direction (a second stop direction) of the dump truck in a case in which the dump truck has travelled on the post-correction travelling route and stopped at the loading specified position, on the basis of the computed first stop direction, position data of the loading specified position, and swing center position data of the excavator.

The controller of the present disclosure enables an autonomous vehicle to travel at increased speed in a high performance driving behavior region (HPDBR), such as when a likelihood of the autonomous vehicle driving off course or colliding with other vehicles and/or people at the work site is low. In some implementations, a controller of an autonomous vehicle may obtain autonomous vehicle position information. The controller may determine, based on the autonomous vehicle position information, that the autonomous vehicle is located within an HPDBR of an autonomous driving area. The controller may determine, based on determining that the autonomous vehicle is located within the HPDBR, whether an HPDBR-related risk exists. The controller may cause, based on determining whether an HPDBR-related risk exists, an autonomous vehicle speed control operation to be performed.

The present disclosure provides a parameter selection device for a work machine that enables the work machine to efficiently travel at a work site where a travel route or a slope changes from moment to moment. The parameter selection device includes a parameter selection section. The parameter selection section calculates an average loaded travel distance per cycle, a travel ratio for each slope in loaded travel, and a virtual travel distance for each slope per cycle of the work machine (processing P1-P3). Further, the parameter selection section calculates a predicted fuel consumption amount for each slope per cycle, a travel time for each slope per cycle, a predicted fuel consumption amount per unit load weight, and a predicted production amount per cycle (processing P4-P8). Then, the parameter selection section selects a recommended parameter set, based on the predicted fuel consumption amount and the predicted production amount per cycle for each parameter set (processing P9).

A management system of a work site includes: an input data acquisition unit that acquires condition input data from an input device; and a water-sprinkling condition decision unit that decides, based on the condition input data, a water-sprinkling condition of an unmanned water-sprinkling vehicle at a work place where an unmanned haul vehicle travels.

A method is provided including the steps of determining a set of passage control units, PCUs, enabling forming of an isolated operation zone of a mining automation system; maintaining an acknowledgement status record for the set of PCUs; determining, based on the acknowledgement status record, a PCU within the set of PCUs for completing isolation of the operation zone; selecting an acknowledgement unit located outside the operation zone to be isolated, the acknowledgement unit being associated with the PCU; and controlling, in response to receiving an acknowledgement from the selected acknowledgement unit, a state of the operation zone.