Web mapping distance determination using cache
The example embodiments are directed to a system and method which can reduce the number of requests to a web mapping service. In an example, the method may include receiving a processing request from a field service software application for a route distance between a source field service location and a target field service location, identifying a sub-area of the web map in which the source field service location is located and a sub-area of the web map in which the target field service location is located, approximating the route distance between the source field service location and the target field service location based on a previously determined distance between a representative point of the sub-area which includes the source field service location and a representative point of the sub-area which includes the target field service location, and outputting route guidance based on the approximate route distance.
1. A computer-implemented method comprising:
receiving a processing request from a software application for a route distance between a source location and a target location on a geographical web map;
identifying a sub-area of the geographical web map in which the service location is geographically located and a sub-area of the geographical web map in which the target location is geographically located;
identifying, via a cache, a distance determination between a similarly-located source location included in the sub-area of the source location and a similarly-located target location included in the sub-area of the target location, which is previously determined by a web mapping service; and
outputting route guidance to the software application based on the previous distance determination between the similarly-located source location and the similarly located target location determined by the web mapping service in response to the processing request.
2. The computer-implemented method of claim 1 , further comprising dividing an area of the geographical web map into a plurality of smaller sub-areas including the sub-area which includes the source location and the sub-area which includes the target location.
3. The computer-implemented method of claim 1 , further comprising determining the distance between the similarly-located source location and the similarly-located target location in response to a previous processing request.
4. The computer-implemented method of claim 1 , wherein the similarly-located source location comprises a center of the sub-area which includes the source location, and the similarly-located target location comprises a center of the sub-area which includes the target location.
5. The computer-implemented method of claim 1 , further comprising optimizing a daily route schedule based on the previous distance determination and at least one of the following additional factors: time constraints, technician expertise, availability of equipment, and customer preferences.
6. The computer-implemented method of claim 1 , wherein the geographical map comprises a plurality of locations including a start location, an end location, and multiple intermediate locations, and the source location and the target location correspond to different intermediate locations.
7. The computer-implemented method of claim 6 , further comprising dynamically dividing an area of the geographical web map into a plurality of smaller sub-areas including the sub-area of the source location and the sub-area of the target location based on a dispersal of the plurality of locations within the area.
8. The computer-implemented method of claim 1 , further comprising retrieving the previously determined distance determination between the similarly-located source location and the similarly-located target location from the cache.
9. A computing system comprising:
a processor configured to
receive a processing request from a software application for a route distance between a source location and a target location on a geographical web map,
identify a sub-area of the geographical web map in which the source location is geographically located and identify a sub-area of the geographical web map in which the target location is geographically located, and
identify, via a cache, a distance determination between a similarly-located source location included in the sub-area of the source location and a similarly-located target location included in the sub-area of the target location, which is previously determined by a web mapping service; and
an output configured to output route guidance to the software application based on the previous distance determination between the similarly-located source location and the similarly-located target location determined by the web mapping service in response to the processing request.
10. The computing system of claim 9 , wherein the processor is further configured to divide an area of the geographical web map into a plurality of smaller sub-areas including the sub-area which includes the source location and the sub-area which includes the target location.
11. The computing system of claim 9 , wherein the processor is further configured to determine the distance between the similarly-located source location and the similarly-located target location in response to a previous processing request.
12. The computing system of claim 9 , wherein the similarly-located source location comprises a center of the sub-area which includes the source location, and the similarly-located target location comprises a center of the sub-area which includes the target location.
13. The computing system of claim 9 , wherein the processor is further configured to optimize a daily route schedule based on the previous distance determination and at least one of the following additional factors: time constraints, technician expertise, availability of equipment, and customer preferences.
14. The computing system of claim 9 , wherein the geographical map comprises a plurality of locations including a start location, an end location, and multiple intermediate locations, and the source location and the target location correspond to different intermediate locations.
15. The computing system of claim 14 , wherein the processor is further configured to dynamically divide an area of the geographical web map into a plurality of smaller sub-areas including the sub-area which includes the source location and the sub-area which includes the target location based on a dispersal of the plurality of locations within the area.
16. The computing system of claim 9 , wherein the processor is further configured to retrieve the previously determined distance determination between the similarly-located source location and the similarly-located target location from the cache.
17. A non-transitory computer readable medium having stored therein instructions that when executed cause a computer to perform a method comprising:
receiving a processing request from a software application for a route distance between a source location and a target location on a geographical web map;
identifying a sub-area of the geographical web map in which the source location is geographically located and a sub-area of the geographical web map in which the target location is geographically located;
identifying, via a cache, a distance determination between a similarly-located source location included in the sub-area of the source location and a similarly-located target location included in the sub-area of the target location, which is previously determined by a web mapping service; and
outputting route guidance to the field service software application based on the previous distance determination between the similarly-located source location and the similarly-located target location determined by the web mapping service in response to the processing request.
18. The non-transitory computer readable medium of claim 17 , wherein the method further comprises dividing an area of the geographical web map into a plurality of smaller sub-areas including the sub-area which includes the source location and the sub-area which includes the target location.