Analytics platform for identifying a roadway anomaly

1. A method, comprising:

obtaining, by an analytics platform, anomaly information associated with a roadway anomaly,

the anomaly information being provided by a sensor system including a sensor array;

determining, by the analytics platform, a set of filters associated with identifying the roadway anomaly as being of a particular type;

applying, by the analytics platform, the set of filters to the anomaly information associated with the roadway anomaly;

identifying, by the analytics platform and based on applying the set of filters to the anomaly information, the roadway anomaly as being of the particular type,

the set of filters including a size filter that causes the analytics platform to identify the roadway anomaly as being of the particular type based on a size of the roadway anomaly,

the roadway anomaly being identified as:

first-sized based on a drop in a roadway surface being detected by a single sensor of the sensor array,

second-sized, greater than the first-sized, based on the drop in the roadway surface being detected by a pair of adjacent sensors of the sensor array, or

third-sized, greater than the second-sized, based on the drop in the roadway surface being detected by more than two adjacent sensors, of the sensor array; and

providing, by the analytics platform and for display, information associated with the roadway anomaly based on identifying the roadway anomaly as being of the particular type,

a first icon being used based on the size of the roadway anomaly satisfying a threshold, or

a second icon being used based on the size of the roadway anomaly not satisfying the threshold.

2. The method of claim 1 , where the set of filters includes a validation filter associated with determining that the roadway anomaly is located on particular type of roadway.

3. The method of claim 1 , where the set of filters includes a verification filter associated with verifying the roadway anomaly based on multiple detections of the roadway anomaly.

4. The method of claim 1 , where providing the information associated with the roadway anomaly comprises:

causing the anomaly information, associated with the roadway anomaly, to be displayed via a user device.

5. The method of claim 1 , where the sensor system is mounted on or installed in a vehicle.

6. The method of claim 1 , where the sensor system includes at least one of:

a Light Detection And Ranging (LIDAR) laser system;

a radar-based system; or

an imaging-based system.

7. The method of claim 1 , where the set of filters includes at least one of:

a depth filter that identifies a threshold depth;

a length filter that identifies a threshold length;

a location filter that identifies a geographic area; or

a temporal filter that identifies a particular time.

8. A device, comprising:

one or more processors to:

determine anomaly information associated with a roadway anomaly detected by a sensor system;

determine one or more filters associated with identifying the roadway anomaly as being of a particular type of roadway anomaly;

identify, based on the anomaly information and the one or more filters, the roadway anomaly as being of the particular type,

the one or more filters including a size filter that causes an analytics platform to identify the roadway anomaly as being of the particular type based on a size of the roadway anomaly,

the roadway anomaly being identified as:

 first-sized based on a drop in a roadway surface being detected by a single sensor of the sensor system,

 second-sized, greater than the first-sized, based on the drop in the roadway surface being detected by a pair of adjacent sensors of the sensor system, or

 third-sized, greater than the second-sized, based on the drop in the roadway surface being detected by more than two adjacent sensors, of the sensor system; and

provide, for display, information associated with the roadway anomaly based on identifying the roadway anomaly as being of the particular type,

a first icon being used based on the size of the roadway anomaly satisfying a threshold, or

a second icon being used based on the size of the roadway anomaly not satisfying the threshold.

9. The device of claim 8 , where the one or more filters include a manual filter associated with user-provided information corresponding to the roadway anomaly.

10. The device of claim 8 , where the one or more filters include a jurisdictional filter associated with confirming that the roadway anomaly is located within an area associated with an entity.

11. The device of claim 8 , where the one or more processors, when providing the information associated with the roadway anomaly, are to:

cause a work order, associated with remedying the roadway anomaly, to be provided,

the work order being provided without user intervention, and

the work order including the information associated with the roadway anomaly.

12. The device of claim 8 , where the sensor system is mounted on or installed in a vehicle.

13. The device of claim 8 , where the one or more processors, when determining the one or more filters, are to:

determine the one or more filters based on user input.

14. The device of claim 8 , where the one or more filters include at least one of:

a depth filter that identifies a threshold depth;

a length filter that identifies a threshold length;

a location filter that identifies a geographic area; or

a temporal filter that identifies a particular time.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to:

determine anomaly information associated with a roadway anomaly;

identify one or more filters associated with identifying the roadway anomaly as being of a particular type,

the one or more filters including a jurisdictional filter associated with confirming that the roadway anomaly is located within an area associated with an entity, and

the one or more filters including a size filter that causes an analytics platform to identify the roadway anomaly as being of the particular type based on a size of the roadway anomaly,

the roadway anomaly being identified as:

 first-sized based on a drop in a roadway surface being detected by a single sensor,

 second-sized, greater than the first-sized, based on the drop in the roadway surface being detected by a pair of adjacent sensors, or

 third-sized, greater than the second-sized, based on the drop in the roadway surface being detected by more than two adjacent sensors;

identify, based on the anomaly information and the one or more filters, the roadway anomaly as being of the particular type; and

provide, for display, information associated with the roadway anomaly based on identifying the roadway anomaly as being of the particular type,

a first icon being used based on the size of the roadway anomaly satisfying a threshold, or

a second icon being used based on the size of the roadway anomaly not satisfying the threshold.

16. The non-transitory computer-readable medium of claim 15 , where the one or more filters include a validation filter associated with determining that the roadway anomaly is located on particular type of roadway.

17. The non-transitory computer-readable medium of claim 15 , where the one or more filters include a verification filter associated with verifying the roadway anomaly based on multiple detections of the roadway anomaly.

18. The non-transitory computer-readable medium of claim 15 , where the one or more filters include a manual filter associated with user-provided information corresponding to the roadway anomaly.

19. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, that cause the one or more processors to provide the information associated with the roadway anomaly, cause the one or more processors to:

generate a work order associated with remedying the roadway anomaly,

the work order being provided without user intervention, and

the work order including the information associated with the roadway anomaly.

20. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, that cause the one or more processors to determine the anomaly information, cause the one or more processors to:

determine the anomaly information from a sensor system mounted on or installed in a vehicle.