This metadata template (DDP-6) provides detailed information on the structure, content, and context of Caltrans' Active Transportation Count Datasets. It ensures data discoverability and usability on open portals, aligning with CTDATA standards for pedestrian and bicycle volume data from state highway pilots.

Caltrans ATD Dataset Metadata

Active Transportation Count Dataset

The latitude coordinate of the count location

The longitude coordinate of the count location

The crosswalk location for the counted pedestrians. Values typically represent cardinal location (e.g., North Crosswalk, South Crosswalk, East Crosswalk, West Crosswalk).

Data count based on 15-30 minute and hour counts

The unique identifier for each count location for Active Transportation Data Team

The direction of travel for the counted cyclists. Values typically represent cardinal directions (e.g., Northbound, Southbound, Eastbound, Westbound).

at-count-dataset

The Pedestrian Count Dataset documents foot traffic on state highways, originating from Caltrans district pilots initiated in 2023 to monitor active transportation. Data is vendor-collected using technologies like video analytics, then shared with HQ via APIs or files for statewide standardization in CSV format. Core variables include Loc_id (site identifier), Date/Hour (timestamp), Direction (e.g., East Crosswalk), Count (integer volumes), and geospatial (latitude/longitude). Limitations include potential undercounts in adverse weather and incomplete coverage. This supports equity-focused planning under Complete Streets policies, with updates as pilots expand.

Aggregated hourly pedestrian volumes from Caltrans district pilots on state highways, using vendor sensors and aggregated at HQ for consistency. Covers key metrics like direction and time, ideal for planning, safety assessments, and research on non-motorized travel patterns.

Similar to its pedestrian counterpart, this dataset tracks cycling activity from the same pilots, emphasizing bike lanes and intersections. Vendor-sourced raw data is reformatted at HQ to ensure uniform fields like Mode (Bicycle), Count_Type (Continuous), and temporal details. It aids in evaluating multimodal infrastructure, with noted caveats on sensor accuracy and pilot scope. Designed for research, it integrates with GIS for spatial insights.

Aggregated hourly bicycle volumes from Caltrans district pilots on state highways, using vendor sensors and aggregated at HQ for consistency. Covers key metrics like direction and time, ideal for planning, safety assessments, and research on non-motorized travel patterns.

Caltrans ATD Dataset Metadata

Preview

Data preview

Data dictionary

API endpoint

Dataset Name