An apparatus for controlling a brake of a tractor towing a trailer includes a trailer sensor for sensing whether or not the trailer is mounted at the tractor, an auxiliary brake driver for driving an auxiliary brake of the tractor, a main brake driver for driving main brakes of the tractor and the trailer, and a controller for setting a ratio of braking force of the auxiliary brake to a reference value with respect to a required braking force from a smart cruise control (SCC) system and allocating the remaining required braking force to the main brakes of the tractor and the trailer in the case in which the trailer sensor senses that the trailer is mounted at the tractor.

A vehicle auxiliary braking system, comprising a carbon brake arrangement, the carbon brake arrangement comprising a rotatable carbon brake disc operably connectable to at least one wheel of a vehicle, and brake pads operable to engage with the rotatable carbon brake disc, the vehicle auxiliary braking system further comprising a control unit comprising processing circuitry configured to determine a time period for an upcoming vehicle braking operation to be initiated at a brake start position at future point in time, and control the brake pads to engage with the rotatable carbon brake disc at the brake start position in response to the time period exceeding a predetermined threshold time period.

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 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.

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 motorcycle braking arrangement comprising a brake lever (and/or brake pedal) defining a grasping or stepping surface, respectively, whereby a rider is able to apply pressure in order to produce a first analogue signal, a force-sensitive resistor (FSR) mounted on and/or in the surface and configured to produce a second analogue signal. In this manner, pressure applied to the grasping surface results in simultaneous production of the first and second signals, whereby a controller is configured to electronically correlate the second signal with the first. The arrangement also includes at least one servomechanism, which is arranged in signal communication with the controller and is configured to actuate a brake of the motorcycle according to the correlation between the first and second signals.

A control system for a military vehicle includes processing circuitry configured to obtain a weight, an incline, a brake air supply pressure, a current gear, and a transaxle range of the military vehicle. The processing circuitry is also configured to determine a minimum brake air supply pressure for the military vehicle based on the weight, the incline, the current gear, and the transaxle range of the military vehicle. The processing circuitry is also configured to compare the brake air supply pressure to the minimum brake air supply pressure, and, in response to the brake air supply pressure being less than the minimum brake air supply pressure, operate a display of the military vehicle to provide an alarm to an operator of the military vehicle to notify the operator that the brake air supply pressure is less than the minimum brake air supply pressure.

From a set of point data, a set of scattered rays is constructed. From the set of scattered rays, a set of ray slopes is computed. The set of ray slopes is mapped to a corresponding set of trigonometric functions. Using an optimization method, a parameter of the set of trigonometric functions is selected. Using an inverse of the set trigonometric functions, a vehicle mass corresponding to the set of point data is computed. Based on the vehicle mass, a threshold braking distance of a collision avoidance system of the vehicle is adjusted, the threshold braking distance comprising a distance from an object predicted to collide with the vehicle. By braking the vehicle at least the threshold braking distance from the object, a predicted collision between the vehicle and the object is avoided.

A method for detecting and reporting cargo lost from an autonomous vehicle. The method includes receiving, from a plurality of sensors, at least one sensor signal representing one or more measurements of the vehicle, determining a mass of the vehicle based on the one or more measurements, estimating a center of mass along a longitudinal axis of the vehicle based on the one or more measurements and the mass, and receiving, from the plurality of sensors, at least one sensor signal representing one or more cargo loss-related conditions. The method also includes identifying one or more cargo loss-indicative conditions based on the center of mass estimation and the one or more cargo loss-related conditions, generating a lost cargo detection signal based on at least one of the one or more cargo loss-indicative conditions and a location of the vehicle, and transmitting the lost cargo detection signal to an external receiver.