File: Sfmdh_2022_loops_jan-aug.zip: ...

: 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. File: SFMDH_2022_Loops_Jan-Aug.zip ...

Specific papers that frequently use datasets with this naming convention include those focused on or Intelligent Transportation Systems (ITS) . If you are looking for a specific paper, it may be a supplement to work from researchers at institutions like UC Berkeley or Stanford , who often work with SF-based traffic datasets (such as PeMS or SF-specific sensor networks). : Using loop detector counts (volume and occupancy)

: Evaluating city-wide congestion patterns in San Francisco during the period of January to August 2022. File: SFMDH_2022_Loops_Jan-Aug.zip ...