Pedestrian and Bicycle Crash Analysis Tool (PBCAT): Version 2.0 Application Manual
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Summary
This document serves as the application manual for Version 2.0 of the Pedestrian and Bicycle Crash Analysis Tool (PBCAT), a software product developed by the University of North Carolina’s Highway Safety Research Center for the Federal Highway Administration. The tool addresses the significant public safety issue of traffic fatalities and injuries involving vulnerable road users; in 2004, 4,641 pedestrians and 725 bicyclists were killed, accounting for 13 percent of all U.S. traffic fatalities, with tens of thousands more injured annually. PBCAT is designed to assist state and local coordinators, planners, and engineers in analyzing crash data to identify specific problems and select appropriate countermeasures. The software functions by enabling users to create and manage databases containing detailed information about crashes between motor vehicles and pedestrians or bicyclists. A core feature is "crash typing," which categorizes crashes based on the pre-crash actions of the parties involved. Version 2.0 introduces several enhancements over previous iterations, including customizable data entry forms that can be designed to match local police crash reports, an alternative "Group Typing" method for users requiring less detail, and options for recording specific location data for intersection crashes. The manual provides comprehensive instructions on software installation, database creation, form design, and data entry, including step-by-step guides for navigating the interface and defining database fields such as speed and age groups. The tool allows users to generate analysis reports, including crash type frequency lists, single-variable and multivariate tables, and graphs, with the capability to export results to Microsoft Excel. It also integrates with the PEDSAFE and BIKESAFE websites, providing direct links to engineering, education, and enforcement countermeasures. These resources include expert system tools that help users select the most appropriate safety interventions based on the specific crash types identified in their local data. The manual includes extensive appendices detailing crash type definitions, database structures, and examples of crash typing logic applied to sample crash reports from North Carolina and Florida. The significance of PBCAT lies in its ability to standardize and streamline the process of analyzing pedestrian and bicycle crash data, thereby facilitating more targeted and effective safety improvements. By providing a dynamic method for recording vital crash information and linking it to proven countermeasures, the tool supports agencies nationwide in their efforts to mitigate crashes and enhance safety for pedestrians and bicyclists. The document emphasizes that while the software aids in identifying and selecting practices, it does not constitute a standard, specification, or regulation, but rather serves as a practical resource for information exchange and safety planning.
Key finding
PBCAT Version 2.0 is a software application that enables transportation professionals to record crash details, analyze crash types, and select targeted countermeasures to mitigate pedestrian and bicyclist collisions.
Methodology
dataset
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- vru crash typology
- crash typology
- motorcycle crash typology
- incidence prevalence
- pre crash contributing factors
- naturalistic crash near crash
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes
- Methodological Resource: dataset resource