A method for evaluating and/or influencing the driving behavior of a driver of a motor vehicle, involving a motor vehicle, in particular in local public transport or in inner-city traffic, preferably for use in vehicle fleets, is designed in such a manner that at least one parameter which describes the driving mode is determined, wherein the position of the gas pedal over time is determined as parameter, and wherein the state of the driving behavior, based on the determined position of the gas pedal, is visually displayed to the vehicle driver by means of a display system in the motor vehicle. Also disclosed is a corresponding device.

Information generated by human behavior detection sensors (i.e., cameras, microphones, pressure sensors, wearables), and vehicle operational parameter information train a machine learning model to determine a driver's emotional state based on vehicle operational parameter information. The training information may be transmitted by a wireless device for each of a fleet of vehicles and their human driver during a training period. A vehicle driven after the training period may provide vehicle information, vehicle location information, VIN, vehicle operational parameter information, or driver emotional state parameter information to a central computer that may compare the received information to either the trained machine learning model or criteria generated as a result of training the model, to determine whether the first driver, or a second driver of a vehicle proximate the first driver's vehicle, is driving erratically or in an elevated emotional state, and alert the other driver if such a determination is made.

This disclosure provides systems, methods, and devices for vehicles with automated driving systems. In a first aspect, a method of isolation in an automated driving system includes detecting the error in a first domain of the automated driving system, isolating a second domain of the automated driving system from the first domain, maintaining operation of the second domain after isolating the second domain from the first domain, and bypassing, by the second domain, the first domain to transmit notifications to an external controller via a first communication interface. Other aspects and features are also claimed and described.

A method for generating a populated state transition table for a finite-state machine (FSM)-modeled system includes receiving system traits via a host computer of a modeling system. The system traits include states, state transitions, and events of the FSM-modeled system. The method includes generating an initial state transition table in response to receipt of the system traits, the table being partially-populated by the system traits. The method additionally includes populating the table in response to user inputs to thereby auto-generate a populated state transition table, and error-checking the populated table using predetermined error-checking criteria, including searching the populated table via error-checking logic of the host computer for an omitted critical trait of the FSM-modeled system. The method also includes communicating an alert to the user in response to the omitted critical trait.

A cooperative adaptive cruise control (CACC) system acquires a driving pattern of a target vehicle and variably provides an inter-vehicle distance and a responsible speed level of a subject vehicle that are followed by the CACC system based on the driving pattern. The CACC system includes a communication unit receiving vehicle information and road information of a region in which the subject vehicle travels; an information collection unit collecting driving information of a forward vehicle, vehicle information of the subject vehicle, and the road information; and a control unit controlling the inter-vehicle distance and the responsible speed level of the CACC system based on the driving pattern of the target vehicle according to generated control information.

A method in an autonomous vehicle comprises determining to perform a left turn maneuver when the vehicle is in a stopping zone, the vehicle is clear of approaching vehicles, and a relevant traffic signal displays a go signal. The method further comprises determining to perform the left turn maneuver when the vehicle has entered a dilemma zone, the vehicle is clear of approaching vehicles, and the relevant traffic signal displays a go signal, a caution signal, or has displayed a stop signal for less than a predetermined amount of time. The method further comprises determining to perform the left turn maneuver when the vehicle has entered a cross-traffic zone, the vehicle is clear of approaching vehicles, and the relevant traffic signal displays a go signal, a caution signal, or a stop signal.

A traveling control system capable of reducing uneasiness felt by an occupant in automatic traveling control of a vehicle includes an on-vehicle control device which performs traveling control on the vehicle, and a display device that is connected to the on-vehicle control device and presents information to an occupant through screen display or audio output. The on-vehicle control device acquires externality recognition information recognized by an externality sensor and/or out-of-vehicle communication, decides driving behavior content to be taken by the vehicle based on the externality recognition information, specifies a driving behavior cause which is a reason why the driving behavior content is decided, and outputs the driving behavior content and the specified driving behavior cause. The display device acquires the driving behavior content and cause output by the control device and sends a notification of the driving behavior content and cause through screen display or audio output.

A control system (10) is suitable for use in one's own motor vehicle (12) and is set up and intended to determine the current driving situation of one's own motor vehicle (12) and other motor vehicles (28, 40) in the surroundings of one's own motor vehicle (12) by means of a surroundings sensor system and to assign the other motor vehicles (28, 40) to specific movement paths or not. The control system is set up and intended based on the surroundings data provided to determine at least one path property for a future movement path of one's own motor vehicle (12), based on the surroundings data provided for every other motor vehicle (28, 40) in the surroundings of one's own motor vehicle (12) and in relation to at least two reference points of the respective other motor vehicle (28, 40) to determine a state vector, to transform the respectively determined state vector for each of the other motor vehicles (28, 40) into path coordinates and based on the at least one path property for one's own motor vehicle (12) and, to determine based on the respective transformed state vector, a probability distribution of a position of each of the other motor vehicles (28, 40) corresponding to each of the at least two reference points of the respective other motor vehicle (28, 40).

Embodiments of the present invention provided a system comprising: a plurality of speed controllers each configured to assume one or more on states or one or more off states, in a predetermined one or more on states each speed controller being configured to cause a vehicle to operate in accordance with a target speed value, in an off state each speed controller being configured not to cause a vehicle to operate in accordance with a target speed value, the system being configured wherein only one of the speed controllers may be in an on state at a given moment in time, the other one or more speed controllers being arranged to assume an off state when a speed controller is in an on state, the system being configured to delete from a speed controller memory or associated speed controller memory directly accessible by said speed controller, one or more target speed values employed by a speed controller that is not in an on state.

A controller is provided for operating a system under admissible states. The controller includes an interface configured to connect the system storing a set of measured system states, a set of reference inputs and a set of system parameters in a storage arranged inside or outside the system, a memory storing measured system states, admissible reference inputs and admissible parameter sets and computer-executable programs including a parameter estimator and an adaptive reference governor (ARG), a processor, in connection with the memory. The processor is configured to perform the ARG and the parameter estimator. The parameter estimator extracts a pair of a reference input and the system state and compute a system parameter estimate based on the reference input and system state. The ARG is configured to update the reference input and compute a parameter-robust constraint admissible set based on the updated reference input and the system states, wherein the ARG generates and transmits a reference input to the system based on the parameter-robust constraint admissible set.