A method for determining an actual mass of a vehicle, includes: determining a reference relationship of a deceleration of the vehicle having a known mass with respect to a brake demand; executing braking with a predetermined brake demand; detecting an actual deceleration of the vehicle when using the predetermined brake demand; determining an actual relationship of the actual deceleration of the vehicle with respect to the predetermined brake demand; and determining the actual mass of the vehicle by correlating the actual relationship and the reference relationship.

A simulation platform may receive equipment information regarding ride equipment. The equipment information identifies a first location of a first end of the ride equipment on a travel path and identifies a second location of a second end of the ride equipment. The simulation platform may determine, based on the equipment information, that the first location is at a first distance from a starting location on the travel path and indicates that the second location is at a second distance from the starting location. The simulation platform may execute a computer model to perform a simulation of a movement of a passenger vehicle along the travel path. The simulation platform may determine, during the simulation, that the passenger vehicle is located at a particular distance from the starting location. The simulation platform may determine whether the particular distance corresponds to a location between the first location and the second location

A control unit (130, 140, 300) for controlling a heavy duty vehicle (100), wherein the control unit is arranged to obtain an acceleration profile (a.sub.req) and a curvature profile (c.sub.req) indicative of a desired maneuver by the vehicle (100), the control unit (130, 140, 300) comprising a force generation module (310) configured to determine a set of global vehicle forces and moments required to execute the desired maneuver, the control unit (130, 140, 300) further comprising a motion support device, MSD, coordination module (320) arranged to coordinate one or more MSDs to collectively provide the global vehicle forces and moments by generating one or more respective wheel forces, and an inverse tyre model (330) configured to map the one or more wheel forces into equivalent wheel slips (), wherein the control unit (130, 140, 300) is arranged to request the wheel slips () from the MSDs.

A weight profile determination system may be provided that includes a sensor and a controller. The sensor may be disposed along a route and configured to generate a plurality of force measurements of a vehicle system moving on the route relative to the sensor. The force measurements may be obtained at different times and correspond to different locations along a length of the vehicle system. The controller may determine a weight profile for the vehicle system based on the force measurements generated by the sensor. The weight profile can represent a distribution of weight along the length of the vehicle system. The controller may communicate the weight profile to one or more of the vehicle system or an offboard device for controlling movement of the vehicle system based on the weight profile.

The present invention provides a controller and a control method capable of improving safety of a lean vehicle.

According to a controller (30) and a control method of the present invention, an execution section of the controller executes an operation that causes the lean vehicle to execute a cruise control based on a positional relationship information that is information about a positional relationship between the lean vehicle and a preceding vehicle preceding the lean vehicle. While the operation is enabled by a rider of the lean vehicle, the execution section changes a ratio between a braking force generated in a front wheel of the lean vehicle and a braking force generated in a rear wheel based on a speed information of the lean vehicle.

A system for mitigating a vehicle collision includes a global navigation satellite system (GNSS), at least one ranging sensor, and a controller. The controller is programmed to retrieve geographical data including at least a location of the vehicle using the GNSS and determine an activation status based at least in part on the location of the vehicle. The controller is further programed to detect a remote vehicle traveling in a cross-traffic lane relative to the vehicle using the at least one ranging sensor in response to the activation status being the activated status. The controller is further programmed to determine a predicted path of the remote vehicle using the at least one ranging sensor in response to detecting the remote vehicle. The controller is further programmed to perform a collision-mitigating action in response to determining that the predicted path of the remote vehicle is a collision path.

A braking control system and method for an autonomous vehicle, may transmit information on surrounding vehicles monitored by autonomous traveling-related sensors of each vehicle while the autonomous vehicles are traveling to the cloud, and transmit a braking induction signal to a specific vehicle when the cloud determines that a distance with a leading vehicle of the specific vehicle has reached a reference distance or less at which braking is required so that the specific vehicle may be braked, checking occurrence of an error or a failure of autonomous traveling-related sensors of a specific vehicle, and easily preventing the safety accidents such as collision with the leading vehicle.

A work vehicle brake energy management system includes an axle speed sensor for monitoring a rotational speed of a work vehicle axle, a friction brake mechanism controllable to slow rotation of the work vehicle axle, a brake pressure sensor for measuring a brake apply pressure of the friction brake mechanism, and computer-readable memory. A processing subsystem is coupled to the axle speed sensor, to the brake pressure sensor, and to the computer-readable memory. The processing subsystem is configured to: (i) utilize data from the axle speed sensor and from the brake pressure sensor to detect brake overtemperature events during which an internal brake temperature of the friction brake mechanism exceeds at least a first critical temperature threshold stored in the computer-readable memory; and (ii) perform at least one predetermined brake overtemperature action in response to detection of a brake overtemperature event.

A computer system including processing circuitry configured to obtain light data from a light-based scanning device; obtain trajectory data of an upcoming trajectory of a vehicle; generate a frame of reference for the light-based scanning device, the frame of reference indicating positional relationships of a plurality of light points based on the light data and a plurality of trajectory points based on the trajectory data; for one or more given trajectory points, identify a non-overlapping region in the frame of reference where no light points are collocated at the one or more given trajectory points; and determine the lens coverage condition based on a position of the vehicle in relation to the identified non-overlapping region.

A vehicle motion management, VMM, system for a heavy-duty vehicle has at least one wheel speed sensor to output a wheel speed signal indicative of a rotation speed of a respective wheel on the vehicle, at least one inertial measurement unit, IMU, to output an IMU signal indicative of an acceleration of the vehicle, a motion estimation function to estimate a vehicle motion state comprising vehicle speed over ground, based at least in part on the wheel speed signal and at least in part on the IMU signal, and a motion support device, MSD, coordination function to coordinate actuation of a plurality of MSDs of the heavy-duty vehicle in dependence of a vehicle motion request and the vehicle motion state. The motion estimation function models an error in the estimated vehicle motion state, and to output a free-rolling request to the MSD coordination function in case the modelled error fails to meet an acceptance criterion. The MSD coordination function reduces a wheel slip set-point of one or more wheels of the heavy-duty vehicle in response to receiving the free-rolling request from the motion estimation function.