Method and system for vehicular-related communications

1. A method for improving vehicular traffic-related communications between devices comprising:

collecting a first movement dataset corresponding to at least one of a location sensor and a motion sensor of a first device arranged within a first vehicle;

transmitting the movement dataset from the first device to a remote computing system;

determining, at the remote computing system, a traffic-related event based upon processing the movement dataset with a traffic event model;

dynamically determining, at the remote computing system, a mobile region of interest based on the movement dataset, wherein the mobile region of interest contains the first device; and

in response to determining the traffic-related event, transmitting a traffic-related communication from the remote computing system to a second device.

2. The method of claim 1 , wherein the second device is associated with a second user arranged in a second vehicle.

3. The method of claim 2 , wherein the first movement dataset is associated with position, velocity, and acceleration (PVA) of the first vehicle.

4. The method of claim 2 , further comprising collecting a supplementary dataset from the first device, wherein the first device is associated with a first user, and wherein the method further comprises transmitting the supplementary dataset from the first device to the remote computing system.

5. The method of claim 4 , wherein the traffic-related event is further determined based upon the supplementary dataset.

6. The method of claim 5 , wherein the supplementary dataset comprises traffic congestion data associated with a geographic location of the first vehicle.

7. The method of claim 2 , wherein the traffic-related communication includes the region of interest.

8. The method of claim 7 , further comprising providing an alert to the second user at an output of the second device in response to determining, at the second device, that the second device is located within the region of interest.

9. The method of claim 7 , further comprising providing an alert to the second user at an output of the second device in response to determining, at the second device, that a planned route of the second vehicle intersects the region of interest.

10. The method of claim 1 , further comprising transmitting the first movement dataset to the remote computing system in response to an acceleration of the first vehicle exceeding a threshold, wherein the threshold is dynamically computed in real-time at the first device based on a velocity of the first vehicle and the traffic data.

11. The method of claim 1 , further comprising collecting a second movement dataset corresponding to at least one of a second location sensor and a second motion sensor of the second device, wherein the second movement dataset is associated with PVA of the second vehicle, and generating a labeled observation associated with the traffic-related communication based on the second movement dataset.

12. The method of claim 11 , further comprising updating the traffic event model based on the labeled observation.

13. A method for improving vehicular traffic-related communications between devices comprising:

collecting a first movement dataset corresponding to at least one of a first location sensor and a first motion sensor of a first device arranged within a first vehicle, wherein the movement dataset is associated with position, velocity, and acceleration (PVA) of the first vehicle;

transmitting the movement dataset from the first device to an intermediate device;

determining, at the intermediate device, a traffic-related event based upon processing the movement dataset and a supplementary dataset with a traffic event model;

dynamically determining, at the intermediate device, a mobile region of interest based on the traffic-related event, wherein the mobile region of interest contains the first device; and

in response to determining the traffic-related event, transmitting a traffic-related communication to a second device.

14. The method of claim 13 , further comprising receiving the traffic-related communication at a second device within the mobile region of interest, wherein the second device is arranged in a second vehicle.

15. The method of claim 14 , further comprising in response to receiving the traffic-related communication, collecting a second movement dataset corresponding to at least one of a second location sensor and a second motion sensor of the second device, wherein the movement dataset is associated with PVA of the second vehicle.

16. The method of claim 15 , further comprising generating a control instruction associated with the second vehicle based on the second movement dataset.

17. The method of claim 16 , further comprising generating a labeled observation based on the control instruction and updating the traffic-event model based on the labeled observation.

18. The method of claim 16 , wherein the traffic-related communication is indicative of a high-risk driving event associated with the first vehicle, and wherein generating the control instruction comprises:

determining, at the second device, that a planned route of the second vehicle is proximal an estimated route of the first vehicle based on the movement dataset; and

generating the control instruction comprising an instruction to modify the planned route of the second vehicle to increase the relative distance between the planned route and the estimated route.

19. The method of claim 15 , further comprising:

generating a labeled observation indicative that the traffic-related communication is irrelevant to the second vehicle based on the second movement dataset; and

updating the traffic-event model based on the labeled observation.

20. The method of claim 14 , wherein the intermediate device comprises the second device.

21. The method of claim 14 , wherein the intermediate device comprises a network infrastructure component defining a fixed geographic location within a predetermined range of the first vehicle, wherein the network infrastructure component executes the traffic event model.