The data is typically associated with research papers or projects that utilize real-world traffic data for:
: Using loop detector counts (volume and occupancy) from San Francisco streets and highways to train machine learning models.
: Calibrating simulation tools like SUMO (Simulation of Urban MObility) or AIMSUN using high-resolution sensor data.
: Evaluating city-wide congestion patterns in San Francisco during the period of January to August 2022.