This dataset captures high-frequency, passive detections of mobile devices at a fixed U.S. Mexico land border crossing, producing a continuous record of cross-border movement. Each record includes a pseudonymized device identifier, device manufacturer signal characteristics, wireless network metadata, signal strength, and GPS-anchored sensor coordinates and timestamps. Collected without apps or surveys, the data reflects real traveler presence and timing across peak and off-peak periods. Use cases include temporal traffic analysis, congestion and surge detection, device composition studies, and spatial visualization of crossing activity. The data is suitable for analytics that require ground-truth flow measurements while supporting aggregate and anonymized reporting.

Key attributes include:

• Timestamped, high-frequency detections capturing actual crossing events
• Pseudonymized device identifiers and device manufacturer breakdowns
• Signal metrics such as signal strength and wireless network metadata
• Fixed sensor GPS coordinates and sensor identity for spatial anchoring
• Continuous coverage enabling peak detection, volume trends, and temporal patterning

Traffic planners, border agencies, logistics operators, and mobility researchers benefit from an unbiased, ground-truth measure of cross-border flow to improve scheduling, capacity planning, and event response. The data helps detect peak hours, surges, and temporal trends that traditional counts may miss.