A vehicle platoon following deciding system based on cloud computing is configured to decide a plurality of vehicle platoon accelerations of a leading vehicle and at least one following vehicle. A cloud processing unit receives a leading vehicle parameter group and at least one following vehicle parameter group. The cloud processing unit is configured to implement a cloud deciding step. The cloud deciding step includes judging whether the leading vehicle is manually driven according to the leading vehicle parameter group to generate a driving mode judging result, calculating a driving acceleration range according to a leading vehicle acceleration range and at least one following vehicle acceleration range, estimating a compensated acceleration according to the leading vehicle parameter group, and calculating the vehicle platoon accelerations according to the driving mode judging result and at least one of the driving acceleration range and the compensated acceleration.

An autonomous vehicle is provided that includes one or more sensors coupled to the autonomous vehicle, and a computing device configured to: (i) receive, from the one or more sensors, operational data related to an operation of the autonomous vehicle, (ii) receive geographical data related to an anticipated route of the autonomous vehicle, (iii) generate, for the anticipated route and based on the operational data and the geographical data, an operational response model representing respective operational constraints for one or more operational parameters of the autonomous vehicle, wherein values for the one or more operational parameters are represented along coordinate axes of a geometrical shape, and wherein the one or more operational parameters are mutually coupled to each other, and (iv) responsively execute, based on the operational response model, an autonomous control strategy comprising one or more adjustments to the operation of the vehicle within the respective operational constraints.

An on-vehicle system for assessing an operator's efficiency of a vehicle, include sensors, an audiovisual display device, a processor and a data storage. The sensors measure or detect conditions of components of the vehicle, and convert the detected conditions into analog or digital information. The data storage stores program instructions, the analog or digital information from the sensors, and other data. The program instructions, when executed by the processor, control the on-vehicle system to determine a state of the vehicle within a vehicle's environment based on the analog or digital information from the sensors, determine whether one or more of a predetermined set of behaviors has occurred based on the determined state of a vehicle, assess performance of the determined one or more of the predetermined set of behaviors, and present the operator, via the audiovisual display device, a feedback based on the assessment.

A method estimates tire pressure of vehicle. For each tire, signals or data indicative of angular velocity of the wheel with which the tire is associated are acquired. A subset of detected signals or data acquired in rectilinear vehicle travel condition is selected. Pressure relationship between tires of each pair of wheels of the same axle is determined by comparing the rolling radius of the wheel on which a first tire is mounted and the rolling radius of the wheel on which a second tire is mounted. A pressure relationship between tire pairs is determined for comparison between the mean value of the rolling radii of wheels of a first axle and the mean value of the rolling radii of wheels of a second axle. Ratios are calculated based on signals or data indicative of angular velocity of the wheels and on slippage of the drive wheels.

The present invention discloses a method and system for data measurement and calculation, monitoring, surveillance and processing of integrated vehicles. In the method, a measurement and calculation object is one of vehicle operation parameters; data at least including a joint operation value of the measurement and calculation object is acquired for identifying the power transmission conditions of a vehicle; the joint operation value of the measurement and calculation object is a result obtained by calculation based on the acquired value of input parameters; the calculation is calculation based on a longitudinal dynamic model of the vehicle; and the input parameters are all parameters in the model except the measurement and calculation object.

The present invention relates to a method for decelerating a vehicle comprising an electrical machine being arranged to provide a controllable torque to at least one drive wheel, said vehicle including driver controllable means for actively requesting a torque for propelling the vehicle. The method includes, when a driver request for a propelling torque is reduced at least to a first extent: applying a first brake torque by means of said electrical machine, by means of said first brake torque, decelerate said vehicle to a stationary state, and by means of said electrical machine, when said vehicle has been decelerated to said stationary state, continue applying a torque by means of said electrical machine to keep said vehicle in said stationary state.

A cruise control system for a vehicle includes a controller configured to maintain a speed of the vehicle about a setpoint, and in response to predicted brake capacity falling below a threshold based on predicted brake fade, reduce the setpoint and downshift a transmission of the vehicle to increase negative torque to reduce brake fade. Also, a powertrain of a vehicle includes an engine, an automatic transmission coupled with the engine, and a controller. The controller is configured to maintain a speed of the vehicle about a setpoint, and in response to a predicted brake capacity falling below a threshold based on predicted brake fade, reduce the setpoint and downshift the transmission to increase a negative torque.

A method of reconstructing a detected faulty signal. A roll sensor fault is detected by a processor. A signal of the detected faulty roll sensor is reconstructed using indirect sensor data. The reconstructed signal is output to a controller to maintain stability.

A motor vehicle driver assistance system including a vehicular data module configured to derive a trailer weight and a vehicular control parameter determiner configured to determine a parameter value of a vehicular control parameter based on the trailer weight derived.

A system for overriding a vehicle speed limit setting via accelerator pedal override is disclosed, comprising a vehicle including steering, an accelerator pedal, brakes, a processor, and memory, and a vehicle speed limit override module coupled to the processor and configured to override the speed limit setting by calculating an override threshold based on the set speed limit and accounting for variable vehicle weight, road grade or other unknown loads.