Accurate location sensing for communicating data to transportation infrastructure server
Described is accurate reporting of transportation-related incidents based on the wireless network positioning enhancements that can locate a device on the order of one meter or less. Upon encountering an incident, such as sensed road damage, an accident or another vehicle that is possibly in distress, a report is automatically generated and wirelessly sent to a smart transportation infrastructure server. The report includes or is augmented by the wireless network with accurate incident location data, along with incident type (e.g., pothole, or accident). Depending on the type of incident, the smart transportation infrastructure server can take appropriate actions, including summoning help, notifying the department of transportation of the need for road repairs and so forth. Other actions can include predicting traffic jams resulting from an incident, which can be used to notify other parties such as a wireless network to allocate additional resources/balance load accordingly.
1 . A mobile device, comprising:
a processor; and
a memory that stores executable instructions that, when executed by the processor of the mobile device, facilitate performance of operations, the operations comprising:
detecting, by the mobile device, in a vehicle containing the mobile device, a road-related incident, wherein the detecting the road-related incident comprises determining that another vehicle, other than the vehicle, is potentially in distress, based on captured image data of the another vehicle, wherein the detecting the road-related incident further comprises determining that the another vehicle is on a side of a road; and
in response to the detecting,
obtaining location data of the mobile device with respect to the road-related incident; and
transmitting first road-related incident report information related to the road-related incident comprising the captured image data of the another vehicle, first timestamp data representing a time associated with the detecting, and the location data of the mobile device, to a transportation-related entity for analysis of the road-related incident, wherein the first road-related incident report information is utilized as a basis for the transportation-related entity to instruct a second vehicle to capture second image data and to transmit the second image data as second road-related incident report information of the road-related incident with second timestamp data, and wherein the second timestamp data comprises a later timestamp relative to the first timestamp data to allow the transportation-related entity to determine an elapsed time between first timestamp data and the second timestamp data for use in determining that the another vehicle is in distress, wherein the elapsed time is greater than five minutes.
2 . The mobile device of claim 1 , wherein the transportation-related entity comprises a smart transportation infrastructure server.
3 . The mobile device of claim 1 , wherein the detecting the road-related incident comprises determining that the another vehicle, other than the vehicle, is potentially in distress by comparing the captured image data against stored location based data.
4 . The mobile device of claim 1 , wherein the detecting the road-related incident further comprises determining that the vehicle is encountering traffic that exceeds traffic volume threshold data.
5 . The mobile device of claim 1 , wherein the operations further comprise receiving, from the transportation-related entity, information indicating that the transportation-related entity is aware of the road-related incident to avoid repeated retransmission of the first road-related incident report information.
6 . A method, comprising:
receiving, by a system comprising a processor, from a mobile device, a first report of a road-related incident comprising that another vehicle is potentially in distress, wherein the first report comprises captured image data of the another vehicle, first timestamp data representing a time associated with a detecting of the road-related incident by the mobile device, and location data of the mobile device, wherein the first report of the road-related incident further indicates that the another vehicle is on a side of a road; and
in response to the receiving,
analyzing, by the system, the first report of the road-related incident with respect to the location data, the first timestamp data, and the captured image data of the another vehicle;
responsive to the first report, instructing, by the system, a second vehicle to capture second image data and to transmit the second image data in a second report of the road-related incident with second timestamp data, wherein the second timestamp data comprises a later timestamp relative to the first timestamp data;
analyzing, by the system, the second report comprising the second timestamp data with respect to the first report comprising the first timestamp data to allow the system to determine an elapsed time between first timestamp data and the second timestamp data, and to determine that the another vehicle is in distress, wherein the elapsed time is greater than five minutes; and
facilitating, by the system, an action based on the analyzing indicating that the another vehicle is in distress.
7 . The method of claim 6 , wherein the facilitating the action based on the first report and the second report of the road-related incident comprises reviewing the captured image data of the another vehicle to determine whether to notify an emergency response entity.
8 . The method of claim 6 , wherein the first report further indicates an accident to a defined level of certainty, and wherein the facilitating comprises notifying an emergency response entity.
9 . The method of claim 6 , wherein the first report further indicates traffic that exceeds a threshold traffic level, and wherein the facilitating comprises allocating additional wireless communication resources in an area corresponding to the location data.
10 . The method of claim 6 , wherein the first report further indicates traffic that exceeds a threshold traffic level, and wherein the facilitating comprises load balancing wireless communications across access points in an area corresponding to the location data.
11 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of a mobile device, facilitate performance of operations, the operations comprising:
capturing one or more images of another vehicle to generate captured image data of the another vehicle;
detecting a road-related incident comprising that the another vehicle is potentially in distress based on the captured image data of the another vehicle, wherein the detecting the road-related incident further comprises determining that the another vehicle is on a side of a road;
obtaining, via the mobile device, location data of the mobile device with respect to the road-related incident; and
reporting the road-related incident via a first report to a transportation-related entity for analysis, the first report comprising the captured image data of the another vehicle, first timestamp data representing a time associated with the detecting, and the location data via wireless communication by the mobile device, wherein the first report is utilized as a basis by the transportation-related entity to instruct a second vehicle to capture second image data and to transmit the second image data in a second report of the road-related incident with second timestamp data, and wherein the second timestamp data comprises a later timestamp relative to the first timestamp data to allow the transportation-related entity to determine an elapsed time between first timestamp data and the second timestamp data for use in determining that the another vehicle is in distress, wherein the elapsed time is greater than five minutes.
12 . The non-transitory machine-readable medium of claim 11 , wherein the operations further comprise:
requesting other vehicles to send additional image data in association with the reporting the road-related incident and the location data, wherein the other vehicles comprise the second vehicle.
13 . The non-transitory machine-readable medium of claim 11 , wherein the operations further comprise:
receiving information indicating that an entity is aware of the road-related incident, and, in response to the receiving the information, halting a re-reporting of the road-related incident.
14 . The non-transitory machine-readable medium of claim 11 , wherein the transportation-related entity comprises a smart transportation infrastructure server.
15 . The non-transitory machine-readable medium of claim 11 , wherein the detecting the road-related incident further comprises determining that the another vehicle has encountered road damage.
16 . The non-transitory machine-readable medium of claim 11 , wherein the detecting the road-related incident comprises determining that the another vehicle is potentially in distress by comparing the captured image data against stored location based data.
17 . The non-transitory machine-readable medium of claim 11 , wherein the detecting the road-related incident further comprises determining that a vehicle containing the mobile device is encountering traffic that exceeds a threshold traffic level.
18 . The non-transitory machine-readable medium of claim 17 , wherein the first report further indicates the traffic that exceeds the threshold traffic level.
19 . The non-transitory machine-readable medium of claim 11 , wherein the first report further indicates an accident to a defined level of certainty.