Wooden Footbridge Displacement Measurements Using Dual Total Stations

Harvard Dataverse hosts a dataset from a study investigating the use of two total stations to monitor small movements of a pedestrian footbridge under pedestrian loading. The data includes displacement measurements in longitudinal, transverse, and vertical directions collected over two consecutive days during five pedestrian flow campaigns. The study applied two instrument configurations and used Dynamic Time Warping to align asynchronous measurement series.

Use Cases

• Developing time-series alignment methods for asynchronous sensor data based on the described use of Dynamic Time Warping.
• Comparing structural monitoring instrument configurations based on the same-side and opposite-side setups described.
• Modeling sub-millimeter structural displacements under dynamic loading based on the measurement precision discussed.
• Analyzing correlations in motion patterns between multiple observation points on a structure.

Strengths

• Data captures displacement in three distinct directions: longitudinal, transverse, and vertical.
• Measurements were conducted over two consecutive days across five separate pedestrian loading campaigns.
• The study explicitly tested and compared two different total station configurations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's specific file formats and size are not provided in the metadata.

Provenance

Source

Harvard Dataverse

Collection Method

Measurements were manually collected using dual total stations during pedestrian loading campaigns.

Time Range

Measurements were taken over two consecutive days; specific dates are not provided.

Freshness

Last updated 2026-04-21 10:47:52; freshness should be verified.