One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and determine whether a collision is imminent or has occurred using vehicle-to-vehicle (V2V) communications. Determination of whether a collision has occurred may be based on X-axis, Y-axis, and Z-axis positional data from two vehicles. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles.

One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and determine whether a collision is imminent or has occurred using vehicle-to-vehicle (V2V) communications. Determination of whether a collision has occurred may be based on X-axis, Y-axis, and Z-axis positional data from two vehicles. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles.

A traffic safety control method is provided. The method includes determining whether there is an intersection in front of a vehicle. When there is the intersection in front of the vehicle, a driving direction of the vehicle at the intersection is predicted according to a plurality of lane positions of the vehicle that are continuously obtained. A message is transmitted once the predicted driving direction is determined to be conflicting with a traffic rule of the intersection.

An event is detected at a first device. Responsive to the detection, at least some functionality of the first device is deactivated. The presence of a second device, cryptographically paired with the first device, is detected by the first device. Responsive to the detection, at least some functionality of the first device is activated or reactivated.

An agent device includes an acquirer configured to acquire an utterance of a user of a first vehicle, and a first agent controller configured to perform processing for providing a service including causing an output device to output a response of voice in response to an utterance of the user of the first vehicle acquired by the acquirer. When there is a difference between a service which is utilized in the first vehicle and is available from one or more agent controllers including at least the first agent controller and a service which is utilized in a second vehicle and is available from one or more agent controllers, the first agent controller provides information on the difference.

A method for providing data for a driver assistance system of a motor vehicle includes communicating position data concerning a position of the motor vehicle to the driver assistance system, requesting additional information from a server if the driver assistance system requires additional information with respect to the position data, and communicating, in response to the requesting, the additional information from the server to the driver assistance system.

A vehicle includes a first sound generator supported at a front of the vehicle and positioned to generate sound in a vehicle-forward direction. The vehicle includes a second sound generator supported at a right side of the vehicle and positioned to generate sound in a vehicle-right direction. The vehicle includes a third sound generator supported at a left side of the vehicle and positioned to generate sound in a vehicle-left direction. The vehicle includes a computer in communication with the first, second, and third sound generators, the computer having a processor and a memory storing instructions executable by the processor to identify an anticipated maneuver of the vehicle as a right-turn maneuver or a left-turn maneuver, actuate the first sound generator, and then, selectively actuate the second sound generator or the third generator based on the anticipated maneuver.

The disclosure provides a method, a system, and a computer program product for detecting a speed funnel in a region. The method comprises obtaining a plurality of traffic object observations for the region and determining at least one first learned traffic object, based on feature-based clustering of the plurality of traffic object observations. The method also includes generating at least one candidate traffic object group by grouping the at least one first learned traffic object and a second learned traffic object and performing validation of the at least one candidate traffic object group based on a statistical model. The method further includes generating at least one validated candidate traffic object group as a result of the validation of the at least one candidate traffic object group and merging the at least one validated candidate traffic object group with a second validated candidate traffic object group to detect the speed funnel.

The disclosure provides a method and device for generating driving suggestion, and computer-readable storage medium. The method comprises: acquiring N driving records, wherein the N driving records are derived from at least two vehicles, each driving record comprises a mapping relationship between a driving period and an acceleration value, and the N is an integer greater than 1; determining a plurality of acceleration metric values based on the acceleration values in the N driving records, wherein each vehicle corresponds to at least one acceleration metric value, and the acceleration metric value is positively correlated with the acceleration value; determining a metric threshold according to the plurality of acceleration metric values; and generating a driving suggestion based on the metric threshold and the driving record corresponding to any one of the at least two vehicles.

The disclosure provides a method and device for generating driving suggestion, and computer-readable storage medium. The method comprises: acquiring N driving records, wherein the N driving records are derived from at least two vehicles, each driving record comprises a mapping relationship between a driving period and an acceleration value, and the N is an integer greater than 1; determining a plurality of acceleration metric values based on the acceleration values in the N driving records, wherein each vehicle corresponds to at least one acceleration metric value, and the acceleration metric value is positively correlated with the acceleration value; determining a metric threshold according to the plurality of acceleration metric values; and generating a driving suggestion based on the metric threshold and the driving record corresponding to any one of the at least two vehicles.