The present disclosure relates to a method for the fully automated guidance of a motor vehicle by a vehicle system in a driving situation of at least one driving situation class, wherein the vehicle system has a control device and accesses position data of a position sensor. The method starts with providing a traffic rule database in which traffic rule sets for a plurality of geographic regions are stored in a machine-readable formal language and which can be accessed by the control device, and determining a geographical region currently traveled by the motor vehicle based on the current position data and retrieving a traffic rule set for the currently traveled geographical region from the traffic rule database via the control device. After or upon determination of a trajectory currently to be traveled by the control device, the vehicle system will verify the trajectory for compliance with traffic rules using the retrieved traffic rule set for the geographic region currently traveled by the control device, wherein the trajectory currently to be traveled is adjusted in the event of non-compliance, and guide the motor vehicle based on the trajectory currently to be traveled.

A facility for providing vehicle to vehicle event notification for connected and/or unconnected vehicles is disclosed. The facility enables a vehicle to detect an occurrence of a vehicle status trigger event and identify information describing an event type. The facility determines a priority of the vehicle status event based at least in part on the type of the vehicle status event. When the vehicle status event is to be reported to at least one other vehicle, the facility enables the vehicle to generate a vehicle status event message that includes the priority of the vehicle status event and at least a portion of the information describing the type of the vehicle status event. The vehicle status event message is then transmitted/broadcasted to at least one other vehicle.

A travel information sensor senses travel information of a host-vehicle. A biological information sensor senses biological information of a driver. A camera unit senses a facial expression of the driver. A communication unit acquires an agitating degree indicating a degree to which an other-vehicle agitates the driver of the host-vehicle, via a network. An agitated degree calculation unit calculates an agitated degree indicating a degree to which the driver of the host-vehicle is agitated by the other-vehicle. A danger degree determination unit determines a danger degree including whether the driver of the host-vehicle is agitated by the other-vehicle, based on the agitated degree and the agitating degree. A presentation unit warns the host-vehicle of the danger degree if it is determined that the driver of the host-vehicle is agitated by the other-vehicle.

An information provision system has a vehicle-mounted device, server, and mobile terminal, which send and receive information to and from one another. The vehicle-mounted device has an imaging unit that images a vicinity of a vehicle, and a first transmitting unit that sends position information, vehicle condition information, and captured image data, to the server. The server has a dangerous spot information creating unit that creates dangerous spot information having a danger level and associated with position information, based on the vehicle condition information and captured image data, and a second transmitting unit that sends the dangerous spot information to the mobile terminal. The mobile terminal has a third transmitting unit that sends position information to the server, a receiving unit that receives the dangerous point information corresponding to the position information of the mobile terminal, and an output unit that outputs a warning based on the dangerous spot information.

In an approach to safely facilitate driver responses to road traffic event alerts, computer-implemented methods, computer program products, and computer systems for reducing vehicle occupant distractions are described. The computer-implemented method includes processors configured for receiving vehicle alert data corresponding to a road traffic event, generating a user alert prompt corresponding to the vehicle alert data, transmitting the user alert prompt to a user vehicle satisfying a first condition, and receiving a user response from an occupant of the user vehicle. Responsive to receiving an affirmative user response, activating one or more vehicle activity systems to reduce vehicle cabin activity by occupants within the user vehicle.

A system for identifying desired information from collected sensor data includes a collection device and a processing module. The collection device collects sensor data, coarsely filters the sensor data according to predefined rules to generate filter matched data, and securely transmits the filter matched data to the processing module. The processing module finely filters the filter matched data to generate desired information, provides the desired information to an authorized actor, and deletes the filter matched data.

A traffic control system for an automatic driving vehicle includes a vehicle control system and a management and control system. The management and control system collects snow removal information by a snow removal information collector, and calculates traveling environment information of the snow-removed area by a snow-removed area traveling environment information calculator. The vehicle control system performs, by a first automatic driving controller, first automatic driving control that is made redundant by a control system based on map information and location information and by a control system based on external environment recognition information. The vehicle control system performs, by a second automatic driving controller, second automatic driving control that is made redundant by a control system based on the location information and the map information corrected using the traveling environment information of the snow-removed area and by a control system based on the external environment recognition information.

An example operation includes one or more of receiving, via a transport, a transport audio, classifying, via the transport, a subset of the transport audio as an atypical transport audio, determining, via the transport, a possible source location of the atypical transport audio, transmitting, via the transport, the atypical transport audio and the possible source location to a server, determining, via the server, a set of potential causes of the atypical transport audio and receiving, via the transport, the set of potential causes of the atypical transport audio.

Adaptive traffic light system for reducing city traffic, consisting of several interconnected modules; the user specifies the departure and destination of his/her route on an application executable on a smartphone, or on an ad-hoc hardware device, which carries out the functions of a navigator; the application sends the arrival and departure point to a central unit which returns the best path in terms of time, length, traffic and with the lowest wait time at the traffic light devices that receive the commands on setting the lights to minimize the users travel time; the device communicates with the traffic lights the crossing at the intersection which together with the data provided by the application on the speed and position are used by the central unit to update the route and the commands to be sent to the next traffic lights;

Vehicle-to-everything (V2X) message-based vehicle tracking is provided. Connected messages including position, dimension, and heading of remote vehicles are received from the remote vehicles and collected by a host vehicle. A route of the host vehicle is used to filter the remote vehicles to those within an interest neighborhood of the host vehicle. A map is displayed, to an HMI screen of the host vehicle, including the route of the host vehicle and an overlay of the remote vehicles as filtered.