Road Traffic Unit Time Comparison Between Tencent Map and Drones

This dataset compares road traffic unit time measurements from Tencent Map and drone surveillance at nine different time points over 30 consecutive days. It includes results of normality tests for the data. The dataset is provided in an XLS file with a size of 5.5 KB.

Use Cases

• Compare traffic unit time measurements from Tencent Map and drone sources to assess data consistency.
• Analyze traffic patterns across nine distinct daily time points using the provided time series data.
• Apply the included normality test results to validate statistical assumptions for traffic flow modeling.
• Investigate potential systematic differences between map-based and aerial surveillance traffic data over a 30-day period.

Strengths

• Data collection spans 30 consecutive days, providing a longitudinal view.
• Measurements are taken at nine specific time points each day, enabling intraday pattern analysis.
• Includes results of statistical normality tests for the traffic data.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and likely a small number of aggregated observations.
• Specific column names, row counts, and geographic location are unknown, limiting detailed analysis.
• The data source is a single author without a stated organization, which may affect reproducibility.

Provenance

Source

Xingbo Long via figshare.

Collection Method

Comparison of road traffic unit time measurements from Tencent Map and drone surveillance.

Time Range

30 consecutive days, with measurements at nine time points per day.

Freshness

Last updated on March 20, 2026.