Colorado Highway Traffic Counts And Derived Metrics For 2022

2022 traffic data from the Colorado Department of Transportation includes counts and derived metrics for highway segments. The dataset contains 30 columns covering traffic volumes, vehicle classifications, and road characteristics. It was published by data.colorado.gov.

Use Cases

• Predict AADTSINGLE (annual average daily traffic for single-unit vehicles) using ROUTE, ROADTERRAIN, and ROUTECAPAC.
• Analyze peak vs. off-peak traffic patterns by comparing DHV (design hour volume) with OFFPKTRK (off-peak truck volume).
• Classify road segments by traffic composition using PCTDHSU (percent single-unit vehicles in design hour) and PCTDHCOMB (percent combination vehicles).
• Model VCRATIO (volume-to-capacity ratio) based on AADTDERIV (derived annual average daily traffic) and ROUTECAPAC (route capacity).
• Assess seasonal traffic variation using SEASONALGROUPID and CALYR (calendar year) fields.

Strengths

• 30 detailed columns per record provide multiple traffic metrics.
• Data covers a full calendar year (CALYR: 2022) for temporal analysis.
• Includes geospatial fields like Shape_Length and REFPT for location-based study.

Limitations

• Unknown row count prevents assessment of dataset scale and representativeness.
• Sample data is unavailable, making initial data exploration and validation difficult.
• Limited to a single year (2022), restricting longitudinal trend analysis.

Provenance

Source

Colorado Department of Transportation (CDOT) via data.colorado.gov.

Collection Method

Traffic counts collected at COUNTSTATIONID stations.

Time Range

2022

Freshness

Data from 2022, last updated on platform in April 2026.

Geography

Colorado, USA highways.