To provide an information generation device and the like that, when generating transmission data of inter-mobile body communication having a limited data amount, generate information that can be effectively used by a mobile body on a reception side. An information generation device 1 mountable on a mobile body (5), the information generation device 1 estimating a control attribute concerning driving control for another mobile body existing in a communicable range from a position of the mobile body (5), the control attribute being a control attribute of mobile bodies relatively large in number, (S4) and generating information for transmission transmitted to the other mobile body, the information for transmission including mobile body information of an item prioritized according to the estimated control attribute among a plurality of items of mobile body information including information concerning the driving control for the mobile body (5) (S7).

A system of highly detailed mapping data for correcting the data format and detail level of the map data adaptively to a specification of a distribution destination. The system includes a data supplementing unit for supplementing medium-/low-detail map data to make the map data highly detailed, an authoring unit for editing the map data adapted to the multiple specifications which differ at least in one of the data format and the detail level, and a database for accumulating the edited map data to allow distribution of the map data as versatile data. The system includes a reliability evaluation unit communicating with the distribution destination via information, and allowing evaluation of reliability indicating a degree to which the versatile data are adapted to the specification, and a reliability registration unit for registering the reliability in the database by associating the evaluation of the reliability evaluation unit with the versatile data.

A method and system for road condition monitoring including receiving roadway data from connected vehicles in response to a third party request. The connected vehicles include sensors for capturing the roadway data. The method and system include determining a roadway condition based on the roadway data and calculating a data price based on the roadway condition and the roadway data. Further, the method and system include controlling access to the roadway data according to the data price.

A method for controlling a flow of traffic on a roundabout, wherein the flow of traffic is controlled by a traffic control unit by which road users that have entered the roundabout and/or are approaching the roundabout in order to enter it are networked in a network and communicate by way of messages, and wherein, in order to enter, a road user transmits a message containing a request to the traffic control unit provides for entry by the respective road user to be preceded by the flow of traffic that is on the roundabout being determined on the basis of the messages, wherein a message containing a control signal is generated for the respective entering road user in order to communicate whether and/or along which route the road user can travel on the roundabout.

A system for instructing an Autonomous Vehicle (AV) to perform a minimal risk condition maneuver comprises a fleet of AVs and an oversight server. The oversight server receives macro information that applies to a plurality of AVs from the fleet. The oversight server generates a batch command based on the macro information. The batch command is associated with one or more conditions. The oversight server determines whether each AV meets the one or more conditions. If the oversight server determines that the AV meets the one or more conditions, the oversight server sends the batch command to the AV. The batch command includes instructions to perform a minimal risk condition maneuver.

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.

Embodiments described herein may provide a method for generating a local hazard warning boundary and at least one confidence band therein. Methods may include: receiving a plurality of probe data points from a plurality of probes within a region, where each probe data point includes location information and an indication of a hazardous condition; generating, based on the plurality of probe data points, a boundary within the region identifying an area within which the hazardous condition is determined to exist with at least a first degree of confidence; generating, based on the plurality of probe data points, a confidence band within the boundary within which the hazardous condition is determined to exist with a second degree of confidence; and providing for an indication of the boundary and the confidence band to at least one of an autonomous vehicle control or to a driver assistance system.

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 method for at least partially automated driving of a motor vehicle includes the steps of: determining that a need exists for infrastructure-based, at least partially automated driving of the motor vehicle, and transmitting, via a communication network, a request to transmit a plurality of infrastructure data based on which the motor vehicle is drivable in an at least partially automated manner, in response to determining that a need exists for infrastructure-based, at least partially automated driving of the motor vehicle. Receiving, via the communication network, the infrastructure data in response to transmitting the request. Generating a plurality of control signals for at least partially automated controlling of a lateral and/or a longitudinal operation of the motor vehicle based on the infrastructure data, and outputting the generated control signals.

Various aspects of a system, a method, and a computer program product for determining a distance to the object on a road are disclosed herein. In accordance with an embodiment, the system includes a memory and a processor. The processor may be configured to receive visual data, location data and motion data of the vehicle corresponding to the first instance in time, and map data corresponding to the location data. The processor may be configured to calculate a distance of the vehicle from the object based on the visual data. The processor may be further configured to validate the location data, the motion data, and the calculated distance of the vehicle from the object, based on the map data. The processor may be further configured to generate output data corresponding to the object, based on the validated location data, the validated motion data, and the validated distance of the vehicle from the object.