Systems and methods for data collection and performance monitoring of transportation infrastructure

A data collection system comprising:

• a camera;
• a location module;
• a plurality of sensors, wherein the plurality of sensors are programmed to measure at least one of environmental conditions and pavement conditions, wherein the plurality of sensors include at least one of temperature sensors, humidity sensors, and barometric pressure sensors;
• a first processor communicatively coupled to the camera and the location module, the first processor programmed to:
• obtain a plurality of frames from the camera;
• obtain a plurality of locations from the location module;
• obtain a plurality of data measurements from the plurality of sensors;
• assign at least one of temperature measurements and humidity measurements to a classified road problem with an associated location;
• apply a previously trained first neural network model for identifying problematic road segments to at least one of frames captured by the camera and data measurements from the plurality of sensors;
• determine a frame of the plurality of frames contains a problematic road segment;
• and
• based on the determination, wirelessly transmit the frame containing the problematic road segment to a second processor;
• and
• the second processor statically located remotely from, but communicatively coupled to the first processor, the second processor programmed to:
• load the frame saved by the first processor;
• apply a previously trained second neural network model distinct from the first neural network model for identifying specific road problems to the frame captured by the camera;
• classifying at least one specific road problem depicted in the frame;
• and
• save at least those outputs of the second neural network model associated with one of the specific road problems in association with at least the location associated with the frame.