System of and method for analyzing thoroughfare conditions via oil spot analysis

A thoroughfare analysis system for automatically analyzing a condition of a thoroughfare, the thoroughfare analysis system comprising:

• a computing device having a processor, wherein the computing device is in electrical communication with at least one server, at least one database, or both;
• and
• a non-transitory computer-readable medium operably coupled to the processor, the computer-readable medium having computer-readable instructions stored thereon that, when executed by the processor, cause the thoroughfare analysis system to automatically analyze the condition of the thoroughfare by executing instructions comprising:
• selecting, via the processor of the computing device, at least one thoroughfare image, by:
• providing, via a GPS system of the computing device, a GPS path divided into a plurality of GPS coordinates based on at least one parameter regarding a travel destination of a user;
• receiving, via the at least one server, the at least one database, or both, at least one thoroughfare image based on at least one of the plurality of GPS coordinates;
• identifying, via the processor of the computing device, at least one oil formation of interest (OFI) based on object detection trained on image intensity and shape;
• generating, via the processor of the computing device, a bounding box surrounding the at least one OFI;
• comparing, via the processor of the computing device, the at least one OFI with a plurality of training images from a trained dataset to identify the at least one OFI as an ellipsoid shaped OFI or a non-ellipsoid shaped OFI;
• in response to identifying the at least one OFI being the ellipsoid shaped OFI:
• calculating, via the processor of the computing device, a likelihood of defect within the bounding box based on weighted scoring between the at least one ellipsoid shaped OFI and at least one of the plurality of training images from the trained dataset, wherein the defect is positioned prior to the ellipsoid shaped OFI and the defect results in a downward vehicle motion coupled with an upward acceleration resulting in the ellipsoid shaped OFI;
• and
• generating, via the processor of the computing device, a ranked list of thoroughfare sections most in need of repair based on the number of ellipsoid shaped OFIs per mile of thoroughfare and the calculated likelihood of defect associated with each of the ellipsoid shaped OFIs per mile, thereby prioritizing roadway repairs according to the ranked list.

A method of automatically providing an optimized GPS path to a travel destination based on a condition of a thoroughfare, the method comprising:

• providing a computing device having a processor, wherein the computing device is in electrical communication with at least one server, at least one database, or both;
• selecting, via the processor of the computing device, at least one thoroughfare image, by:
• providing, via a GPS system of the computing device, a GPS path divided into a plurality of GPS coordinates based on at least one parameter regarding a travel destination of a user;
• receiving, via the at least one server, the at least one database, or both, at least one thoroughfare image based on at least one of the plurality of GPS coordinates;
• identifying, via the processor of the computing device, at least one oil formation of interest (OFI) based on object detection trained on image intensity and shape;
• generating, via the processor of the computing device, a bounding box surrounding the at least one OFI;
• comparing, via the processor of the computing device, the at least one detected OFI with a plurality of training images from a trained dataset to identify the at least one OFI as an ellipsoid shaped OFI or a non-ellipsoid shaped OFI;
• in response to identifying the at least one OFI being the ellipsoid shaped OFI:
• calculating, via the processor of the computing device, a likelihood of defect within the bounding box based on weighted scoring between the at least one ellipsoid shaped OFI and at least one of the plurality of training images from the trained dataset, wherein the defect is positioned prior to the ellipsoid shaped OFI and the defect results in a downward vehicle motion coupled with an upward acceleration resulting in the ellipsoid shaped OFI;
• calculating, via the processor of the computing device, at least one alternative GPS path, at least one alternative thoroughfare, or both to the travel destination based on the likelihood of defect of the thoroughfare;
• and
• automatically displaying, via the display device of the computing device, the GPS path, the at least one calculated alternative GPS path, or both by:
• based on a determination that the likelihood of defect of the thoroughfare is greater than the likelihood of defect of the at least one calculated alternative thoroughfare, altering the GPS path to conform to the at least one calculated alternative GPS path, alternative thoroughfare, or both;
• and
• based on a determined that the likelihood of defect of the thoroughfare is less than the likelihood of defect of the at least one calculated alternative thoroughfare, maintaining the GPS path to conform to the thoroughfare.