This dataset captures passive Bluetooth detections of mobile phones, in-vehicle systems, and personal electronics at a fixed U.S. Mexico land border crossing, creating a continuous ground-truth record of cross-border movement. Each event includes a pseudonymized device reference, device manufacturer and contextual type, Bluetooth protocol (BLE or Classic), signal metrics, a mobility score that indicates motion versus stationary behavior, and GPS-anchored sensor coordinates with timestamps. Mobility scoring lets analysts filter out static infrastructure and focus on actively crossing travelers for improved occupancy and volume estimates. Spatially enabled for mapping, proximity analysis, temporal surge detection, and site-level flow analytics, the data supports traffic planning, operational monitoring, and mobility research.

Key attributes include:

• High-frequency timestamped Bluetooth detections capturing real crossing events
• Device context including manufacturer and device type, including in-vehicle systems
• Bluetooth protocol classification (BLE or Classic) and signal metrics
• Mobility score to distinguish moving travelers from stationary beacons
• GPS-anchored sensor coordinates for spatial analysis and mapping

Border agencies, traffic planners, logistics operators, and mobility researchers gain an unbiased, high-resolution view of cross-border flow to improve scheduling, capacity planning, and real-time operational response. The mobility score reduces noise from fixed devices to produce more accurate traveler and occupancy estimates.