Active Transportation Count Dataset
The Pedestrian and Bicycle Count Dataset documents non motorized 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, 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.
Data files
| Data title and description | Access data | File details | Last updated |
|---|---|---|---|
Pedestrian Count Dataset 2023 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. | Download | CSV 83.65 MB | 12/11/25 |
Pedestrian Count Dataset 2024 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. | Download | CSV 131.46 MB | 12/11/25 |
Bicycle Count Dataset 2023 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. | Download | CSV 38.88 MB | 12/11/25 |
Bicycle Count Dataset 2024 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. | Download | CSV 63.55 MB | 12/11/25 |
Supporting files
| Data title and description | Access data | File details | Last updated |
|---|---|---|---|
Count Data Labeling Conventions This document provides standardized labeling conventions for pedestrian and bicycle count data collected on the California state highway system. It includes illustrative diagrams for typical intersections, roundabouts, and midblock scenarios, detailing crosswalk labels and directional movement labels. Developed by the Active Transportation Data Branch, Office of System Metrics & Automation, Division of Traffic Operations, this guide ensures consistent data interpretation and aggregation for planning, safety analysis, and research purposes. | Download | PDF 372.53 KB | 12/11/25 |
Caltrans ATD Dataset Metadata 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. | Download | XLSX 24.58 KB | 12/12/25 |
Caltrans ATD Data Dictionary The data dictionary (DDP-8) defines each element in the Active Transportation Count Datasets. It includes data types, formats, and descriptions to facilitate accurate interpretation and analysis of pedestrian and bicycle metrics. | Download | XLSX 23.76 KB | 12/12/25 |
Caltrans ATD DQMP The Data Quality Management Plan (DDP-10) outlines quality objectives, assessments, and improvement strategies for Active Transportation Count Data, focusing on dimensions like completeness and consistency. It addresses Caltrans HQ's aggregation role for pilot-sourced data, ensuring authoritative and trusted outputs for public use. | Download | PDF 503.30 KB | 12/12/25 |
More details
1. The data are made available to the public solely for informational purposes. Information provided in the Caltrans GIS Data Library is accurate to the best of our knowledge and is subject to change on a regular basis, without notice. While Caltrans makes every effort to provide useful and accurate information, we do not warrant the information to be authoritative, complete, factual, or timely. Information is provided on an "as is" and an "as available" basis. The Department of Transportation is not liable to any party for any cost or damages, including any direct, indirect, special, incidental, or consequential damages, arising out of or in connection with the access or use of, or the inability to access or use, the Site or any of the Materials or Services described herein. 2. License - Creative Commons 4.0 Attribution 3. Methodology - Data is collected through Caltrans district pilot projects on the state highway system, primarily using automated sensors such as video analytics to capture hourly pedestrian volumes at selected locations. Site selection prioritizes high-activity areas like urban intersections, with counts typically conducted continuously to establish baseline patterns. Vendors handle initial setup, calibration (e.g., adjusting for weather sensitivity), and raw data capture, transmitting files via APIs or secure shares to HQ. At HQ, data undergoes reformatting, aggregation, cleaning (e.g., removing duplicates or invalid entries), and standardization into CSV format, including validation for completeness in core fields like Date, Hour, and Count. For more detailed quality assurance, including error tracking and improvement strategies, refer to the associated DDP-10 Data Quality Management Plan.
California
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