Themes include roadways, traffic, airports, shipping, rail.

transportation

Transportation

Creative Commons Attribution

at-count-dataset

Website: https://dot.ca.gov/

Caltrans manages more than 50,000 miles of California's highway and freeway lanes, provides inter-city rail services, permits more than 400 public-use airports and special-use hospital heliports, and works with local agencies. Caltrans carries out its mission of providing a safe, sustainable, integrated and efficient transportation system to enhance California’s economy and livability, with six primary programs: Aeronautics, Highway Transportation, Mass Transportation, Transportation Planning, Administration and the Equipment Service Center.  


caltrans

Caltrans

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.

Count Data Labeling Conventions

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

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.

Caltrans ATD Data Dictionary

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.

Caltrans ATD DQMP

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.

Pedestrian 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.

Bicycle Count Dataset 2023

The Pedestrian Count Dataset documents foot traffic on state highways, originating from Caltrans district pilots initiated in 2024 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.

Pedestrian Count Dataset 2024

Bicycle Count Dataset 2024

The Pedestrian Count Dataset documents foot traffic on state highways, originating from Caltrans district pilots initiated in 2025 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.

Active Transportation

Active Transportation datasets