SF-LIFE
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SF-LIFE: A Large-Scale Simulated Movement Dataset for the San Francisco Bay Area
arXiv:2606.00430v1 Announce Type: new Abstract: We introduce SF-LIFE, a large-scale simulated movement dataset designed to accelerate research in transportation, mobility, and machine learning. The dataset contains 3,024,000,000,000 location records capturing complete, noise-free, multi-modality trajectories of 500,000 simulated agents observed at a 1Hz frequency navigating the San Francisco Bay Area network over a 70-day period. The data captures (1) needs-driven daily agendas of individual...
SF-LIFE: A Large-Scale Simulated Movement Dataset for the San Francisco Bay Area
arXiv:2606.00430v1 Announce Type: cross Abstract: We introduce SF-LIFE, a large-scale simulated movement dataset designed to accelerate research in transportation, mobility, and machine learning. The dataset contains 3,024,000,000,000 location records capturing complete, noise-free, multi-modality trajectories of 500,000 simulated agents observed at a 1Hz frequency navigating the San Francisco Bay Area network over a 70-day period. The data captures (1) needs-driven daily agendas of...