A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

The present disclosure provides a roadside sensing system and a traffic control method. The roadside sensing system may include: a basic supply facility, a roadside computing facility and a roadside sensing facility set on a target road section. The basic supply facility is connected to the roadside computing facility and the roadside sensing facility, and the basic supply facility is configured to provide basic supply to the roadside computing facility and the roadside sensing facility; the roadside sensing facility is configured to acquire roadside sensing information; and the roadside computing facility is configured to store and process the roadside sensing information to obtain sensing result information.

A computerized method for controlling a target-motion device based on motion of a first source-motion object. The method has the steps of: capturing motion-related data at the first source-motion object, the motion-related data representing the mootion of the first source-motion object; processing, at the first source-motion object, the motion-related data by converting captured motion-related data from a first format to a second format; transmitting the processed motion-related data to a server; forwarding, by the server, the processed motion-related data to the target-motion device; and moving at least a portion of the target-motion device based on at least the processed motion-related data.

In an embodiment, a method includes: receiving ambient sound; determining if the ambient sound includes a siren; in accordance with determining that the ambient sound includes a siren, determining a first location associated with the siren; receiving a camera image; determining if the camera image includes a flashing light; in accordance with determining that the camera image includes a flashing light, determining a second location associated with the flashing light; 3D data; determining if the 3D data includes an object; in accordance with determining that the 3D data includes an object, determining a third location associated with the object; determining a presence of an emergency vehicle based on the siren, detected flashing light and detected object; determining an estimated location of the emergency vehicle based on the first, second and third locations; and initiating an action related to the vehicle based on the determined presence and location.

A processing system including at least one processor may transmit a notification of a presence of an emergency service vehicle to a plurality of entities, obtain, from at least a first entity of the plurality of entities, at least a first acknowledgement of the presence of the emergency service vehicle, determine that at least a second acknowledgement is not obtained from at least a second entity of the plurality of entities, and present information associated with the at least the second entity to a device of the emergency service vehicle.

A processing system including at least one processor may transmit a notification of a presence of an emergency service vehicle to a plurality of entities, obtain, from at least a first entity of the plurality of entities, at least a first acknowledgement of the presence of the emergency service vehicle, determine that at least a second acknowledgement is not obtained from at least a second entity of the plurality of entities, and present information associated with the at least the second entity to a device of the emergency service vehicle.

A system and a method manage wireless traffic signals in order to aid autonomous driving systems and humans to quickly and accurately detect traffic signal changes and surrounding traffic. The system includes a plurality of road vehicles. Each road vehicle includes a vehicle receiver, a vehicle controller, and a vehicle output device. The system also includes a plurality of traffic-signal sources and a plurality of signal emitters. Each signal emitter is associated to a corresponding traffic-signal source from the plurality of traffic-signal sources. Each signal emitter processes traffic signals from the corresponding traffic-signal source and sends the processed traffic signals to the vehicle receivers. The vehicle receivers receive signals from the plurality of signal emitters. The vehicle controller processes the signals received by the vehicle receiver. The vehicle output device executes instructions that are extracted from the signals processed by the vehicle controller.

Method, control unit, and target arrangement of a leading vehicle for triggering a follower vehicle, which is situated at a lateral distance from the leading vehicle, to coordinate its movements with the leading vehicle. The target arrangement comprises a target configured to be placed at a lateral distance from to the leading vehicle. The target is also configured to be recognized by at least one forwardly directed sensor of the follower vehicle.

Various embodiments include methods and systems for managing vehicle behavior. In some embodiments, a vehicle processor of the first vehicle may receive dynamic traffic flow feature information relevant to movements of a second vehicle within a predetermined proximity to the host vehicle, determine probabilities of a plurality of potential behaviors of the second vehicle based on the received dynamic traffic flow feature information, predict a future path of the second vehicle, and use the predicted future path of the second vehicle in a vehicle control function. In some embodiments, the vehicle processor of the first vehicle may predict a behavior of a third vehicle based on received intention information about the second vehicle, and may adjust a behavior of the first vehicle based on the predicted behavior of the third vehicle.

Various embodiments include methods and systems for managing vehicle behavior. In some embodiments, a vehicle processor of the first vehicle may receive dynamic traffic flow feature information relevant to movements of a second vehicle within a predetermined proximity to the host vehicle, determine probabilities of a plurality of potential behaviors of the second vehicle based on the received dynamic traffic flow feature information, predict a future path of the second vehicle, and use the predicted future path of the second vehicle in a vehicle control function. In some embodiments, the vehicle processor of the first vehicle may predict a behavior of a third vehicle based on received intention information about the second vehicle, and may adjust a behavior of the first vehicle based on the predicted behavior of the third vehicle.