A brake cooling period prediction system for predicting a brake cooling period following a braking event, and including a sensor apparatus in communication with a prediction apparatus. The sensor apparatus has a torque sensor for measuring the torque reacted by a brake during a braking event; a wear sensor for measuring a wear state of the brake; and an environmental sensor for measuring at least one ambient condition of the environment of the brake. The prediction apparatus includes a memory storing information relating to the thermal behavior of the brake; and a controller configured to receive a torque measurement, a wear measurement and an ambient condition measurement from the sensor apparatus; and predict a cooling period based on the received torque, wear and ambient condition measurements, and the information relating to the thermal behavior of the brake.

Example embodiments relate to triple redundant brake systems for trucks and other types of vehicles. Disclosed systems offer additional redundancy for braking applications by incorporating a third service brake actuator (e.g., a third ECU), which may be installed parallel to the second controller (e.g., a second ECU). In some examples, the third service brake actuator is an electronically activatable pressure valve and can be implemented using pneumatic select-high valves. These valves can be used to perform a mechanical max arbitration between pressure provided by the second controller and the third controller.

A system and method for processing traffic data and locally generated data. A traffic signal monitoring device may be associated with a vehicle and configured to receive traffic data from traffic infrastructure devices. The traffic signal monitoring device may additionally or alternatively utilize local data (e.g., speed of the vehicle) to generate alerts to notify a driver of hazardous conditions or to suppress operations (e.g., notifications, menus) of a device to reduce distractions.

A brake control device and a brake system are configured to appropriately apply a braking force to a rotary body of a human-powered vehicle. The brake control device includes an electronic controller that controls a braking portion electrically driven to brake a rotary body rotating in accordance with traveling of a human-powered vehicle. The electronic controller controls the braking portion in accordance with an operation amount of an operating device and a state related to the human-powered vehicle.

An automatic braking system for a vehicle includes a sensor system configured to detect the previous speed of the vehicle, occupancy of a driver's seat of the vehicle, and an input to at least one of an accelerator pedal of the vehicle and a brake pedal of the vehicle. The automatic braking system also includes a control module communicatively connected to the sensor system and configured to automatically brake the vehicle when the vehicle was previously stopped, the driver's seat is occupied, and there is no input to the accelerator pedal or the brake pedal.

Apparatuses, systems, and methods apply, with a fan, a braking force to a vehicle that includes an axle. The fan is rotated at a first rotational speed based on a rotation of the axle that rotates at a second rotational speed. The first rotational speed is different from the second rotational speed. The fan applies the braking force when the fan rotates at the first rotational speed.

A wheel end computer, WEC, (220) for hosting and executing one or more motion support device abstraction modules (MSDA, 221) configured to monitor and/or to control operations of one or more respective motion support devices, MSDs, (240, 250, 260, 270) on a heavy duty vehicle, where an MSDA provides a control and/or a monitoring interface between an external vehicle unit computer (VUC, 210), and a respective MSDs operational functionality, wherein the WEC (220) is arranged to identify a matching MSDA for each MSD in a set of MSDs, such that each MSD connected to the WEC is matched to a respective MSDA, and wherein the WEC (220) is arranged to receive a monitor and/or a control command from the VUC (210) for monitoring and/or controlling an MSD connected to the WEC, and to control the MSD via the respective matching MSDA.

A prediction system and a prediction method for at least one brake system component of a brake system of a vehicle by ascertaining value groups of in each case at least two different variables during at least one driver-induced and/or autonomous braking process of the vehicle, the at least two variables of the same value group are ascertained simultaneously and in a braking situation in which at least one of the variables lies outside its respective specified normal value range and/or a temporal derivative of at least one of the variables lies outside a quasi-static range respectively specified for the respective variable, and estimating, using the ascertained value groups, whether the occurrence of at least one functional impairment of at least the one brake system component of the brake system is probable at least during a specified prediction time interval.

A system and method are provided for estimating and applying vehicle tire traction. Vehicle data (e.g., movement and location-based data) and tire sensor data are collected at a vehicle and transmitted to a remote computing system (e.g., cloud server). A wear status is determined, and traction characteristics determined for at least one tire, based at least on the vehicle data and the determined tire wear status. The predicted tire traction characteristics are transmitted from the remote computing system to an active safety unit associated with the vehicle, or a fleet management system, wherein the recipient is configured to modify vehicle operation settings based on at least the predicted tire traction characteristics. A maximum speed for the vehicle may be defined by the recipient, or a minimum following distance where, e.g., the vehicle is one of multiple vehicles in a defined platoon.

A vehicle deceleration system for stopping a vehicle that includes of a set of sensors, a controller, force applicators, and a friction applicator. The first sensor reads the ambient air temperature, the second sensor reads the vehicle speed, and a third sensor indicates if antilock brake system is operational. The controller calculates the distance between the front bumper and any surrounding objects to adjust the stopping force accordingly. The controller monitors the three sensors and a processor checks for predetermined given conditions. If all checks are met, the controller activates the force applicators. When the force applicators extend, they rotate a friction applicator into the road surface until the vehicle comes to a complete stop.