Methods and systems for vehicle alerting based on map data model with links and nodes
Embodiments of a method and non-transitory computer readable mediums for vehicle alerting are disclosed. In an embodiment, the method for vehicle alerting involves populating a database with vehicle entries, the vehicle entries in the database including a vehicle identifier (ID) and at least one of a node ID and a link ID that correspond to a digital map that uses a map data model with node IDs and link IDs, and initiating an alert messaging operation corresponding to a vehicle ID of a vehicle entry in the database in response to a match between a search key and at least one of the node ID and the link ID of the vehicle entry, wherein the search key includes at least one of a node ID and a link ID.
1 . A method for alerting vehicles, the method comprising:
populating a database with vehicle entries, the vehicle entries in the database including a vehicle identifier (ID) and at least one of a node ID and a link ID that correspond to a digital map that uses a map data model with node IDs and link IDs, wherein the map data model includes links that correspond to segments of roads and nodes that correspond to intersections between segments of roads, and wherein nodes are identified by unique node IDs and links are identified by unique link IDs; and
initiating an alert messaging operation corresponding to a vehicle ID of a vehicle entry in the database in response to a match between a search key and at least one of the node ID and the link ID of the vehicle entry, wherein the search key includes at least one of a node ID and a link ID.
2 . The method of claim 1 , further comprising generating a vehicle entry by:
map matching location information corresponding to a vehicle to at least one of a node ID and a link ID on the digital map; and
defining a most probable path of the vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID.
3 . The method of claim 2 , wherein the location information includes latitude and longitude coordinates of the vehicle.
4 . The method of claim 3 , wherein defining the most probable path of the vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID involves using motion information corresponding to the vehicle to predict the set of map identifiers.
5 . The method of claim 4 , wherein the motion information includes at least one of a speed, acceleration, trajectory, direction, and azimuth of the vehicle.
6 . The method of claim 1 , further comprising generating the search key, wherein generating the search key involves:
map matching location information corresponding to an alerting vehicle to at least one of a node ID and a link ID on the digital map; and
defining a most probable path of the alerting vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID.
7 . The method of claim 6 , wherein the location information includes latitude and longitude coordinates of the vehicle.
8 . The method of claim 6 , wherein defining the most probable path of the alerting vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID involves using motion information corresponding to the alerting vehicle to predict the set of map identifiers.
9 . The method of claim 8 , wherein the motion information includes at least one of a speed, acceleration, trajectory, direction, and azimuth of the vehicle.
10 . The method of claim 1 , further comprising:
generating a vehicle entry by:
map matching location information corresponding to a vehicle to at least one of a node ID and a link ID on the digital map; and
defining a most probable path of the vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID;
generating the search key by:
map matching location information corresponding to an alerting vehicle to at least one of a node ID and a link ID on the digital map; and
defining a most probable path of the alerting vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID.
11 . The method of claim 10 , wherein:
the location information corresponding to the vehicle includes latitude and longitude coordinates of the vehicle; and
the location information corresponding to the alerting vehicle includes latitude and longitude coordinates of the alerting vehicle.
12 . The method of claim 11 , wherein:
defining the most probable path of the vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID involves using motion information corresponding to the vehicle to predict the set of map identifiers; and
defining the most probable path of the alerting vehicle in terms of a set of map identifiers that includes at least one of a node ID and a link ID involves using motion information corresponding to the alerting vehicle to predict the set of map identifiers.
13 . The method of claim 12 , wherein:
the motion information corresponding to the vehicle includes at least one of a speed, acceleration, trajectory, direction, and azimuth of the vehicle; and
the motion information corresponding to the alerting vehicle includes at least one of a speed, acceleration, trajectory, direction, and azimuth of the alerting vehicle.
14 . The method of claim 1 , further comprising:
generating a vehicle entry by:
map matching location information corresponding to a vehicle to at least one of a node ID and a link ID on the digital map; and
defining a most probable path of the vehicle over a specific time interval in terms of a set of map identifiers that includes at least one of a node ID and a link ID;
generating the search key by:
map matching location information corresponding to an alerting vehicle to at least one of a node ID and a link ID on the digital map; and
defining a most probable path of the alerting vehicle over a specific time interval in terms of a set of map identifiers that includes at least one of a node ID and a link ID.
15 . The method of claim 14 , wherein the specific time interval is in the range of 1040 seconds.
16 . A non-transitory computer readable medium comprising instructions to be executed in a computer system, wherein the instructions when executed in the computer system perform a method comprising:
populating a database with vehicle entries, the vehicle entries in the database including a vehicle identifier (ID) and at least one of a node ID and a link ID that correspond to a digital map that uses a map data model with node IDs and link IDs, wherein the map data model includes links that correspond to segments of roads and nodes that correspond to intersections between segments of roads, and wherein nodes are identified by unique node IDs and links are identified by unique link IDs; and
initiating an alert messaging operation corresponding to a vehicle ID of a vehicle entry in the database in response to a match between a search key and at least one of the node ID and the link ID of the vehicle entry, wherein the search key includes at least one of a node ID and a link ID.
17 . A method for alerting vehicles, the method comprising:
receiving vehicle telemetry data, the vehicle telemetry data including location information and motion information;
populating a database with data generated from the received vehicle telemetry data, wherein the database is populated with vehicle entries that include a vehicle identifier (ID) and at least one of a node ID and a link ID that correspond to a digital map that uses a map data model with node IDs and link IDs, wherein the map data model includes links that correspond to segments of roads and nodes that correspond to intersections between segments of roads, and wherein nodes are identified by unique node IDs and links are identified by unique link IDs;
receiving alerting vehicle telemetry data from an alerting vehicle, the alerting vehicle telemetry data including location information and motion information;
assigning at least one of a node ID and a link ID to the alerting vehicle in response to the vehicle telemetry data;
finding a match between a vehicle entry in the database and the alerting vehicle, wherein a match involves the vehicle entry and the alerting vehicle having at least one of a node ID and a link ID in common; and
initiating an alert messaging operation corresponding to a vehicle ID of the matching vehicle entry in response to the match.
18 . A method for alerting vehicles, the method comprising:
receiving first vehicle telemetry data, the first vehicle telemetry data including location information related to a first vehicle;
generating a first set of at least one of a node ID and a link ID from the first vehicle telemetry data that correspond to a digital map that uses a map data model with node IDs and link IDs, wherein the map data model includes links that correspond to segments of roads and nodes that correspond to intersections between segments of roads, and wherein nodes are identified by unique node IDs and links are identified by unique link IDs;
receiving second vehicle telemetry data, the second vehicle telemetry data including location information related to a second vehicle;
generating a second set of at least one of a node ID and a link ID from the second vehicle telemetry data; and
initiating an alert messaging operation for a vehicle ID corresponding to the first vehicle in response to the first set of a node ID and a link ID and the second set of a node ID and a link ID having at least one of a node ID and a link ID in common.