Engineer compliant DVIR pipelines that scale.
A production-focused engineering resource for automating, parsing, classifying, and routing
Driver Vehicle Inspection Reports (DVIRs) while maintaining strict DOT and FMCSA compliance.
🌐 Visit the site → www.fleet-compliance.com
Fleet Compliance is a deep, practitioner-grade knowledge base for the engineers and compliance officers who turn paper and mobile Driver Vehicle Inspection Reports into audit-ready, structured, defect-routed data. Every guide treats federal regulation as an architectural constraint — not an afterthought — and pairs the regulatory why with runnable Python for the how.
The material is written for people who ship: fleet managers, DOT/FMCSA compliance officers, transportation-technology developers, and Python automation engineers building real ingestion, classification, and integration pipelines.
- Compliance officers who need to know exactly how 49 CFR § 396.11 maps to a data model, how defect severity ties to CSA BASIC categories, and what survives a DOT audit.
- Python & platform engineers building DVIR ingestion, OCR, schema validation, severity scoring, repair-order routing, and telematics/CMMS integrations.
- Fleet operators modernizing inspection workflows without loosening a single federal control.
The site is organized into four in-depth sections, spanning 50+ guides and 160,000+ words:
| Section | What you'll find |
|---|---|
| Core DVIR Architecture & FMCSA Compliance Mapping | 49 CFR § 396.11 alignment, canonical JSON/Pydantic schema design, defect taxonomy, cloud compliance boundaries, encryption, and immutable WORM audit trails. |
| DVIR Ingestion & Digital/Paper Parsing Workflows | Mobile exports, PDF/scan OCR pipelines, field mapping and normalization, VIN validation, async batching, dead-letter routing, and OCR-engine comparisons. |
| Defect Classification & Repair Order Routing | Deterministic weighted severity scoring, fleet-aware thresholds, critical-vs-non-critical routing, out-of-service triggers, CSA score impact, and mechanic dispatch. |
| Telematics, ELD & Maintenance Platform Integration | Signed idempotent webhooks to Samsara and Geotab, CMMS work-order synchronization, ELD driver-identity linkage, and vendor-neutral platform adapters. |
- Grounded in real regulation. Citations reference exact CFR clauses (e.g. § 396.11(c)(2)), not vague hand-waving. Compliance actions are stated as imperatives you can encode.
- Runnable, not theoretical. Guides ship complete Python 3.10+ implementations with schema contracts, unit tests, and idempotency and audit patterns you can lift into production.
- Deterministic and audit-ready. A consistent 0–100 severity model, SHA-256 hash-chained audit trails, and WORM retention run through the whole catalogue.
- Original diagrams. Every architecture, state-machine, and decision diagram is a hand-authored, theme-aware inline SVG built for the exact concept on the page.
- Eleventy static site generator (Nunjucks + Markdown)
- KaTeX for severity-scoring equations
- A dependency-free syntax highlighter and a custom Markdown pipeline
- Deployed on Cloudflare Pages
npm install # install dependencies
npm run serve # local dev server with live reload
npm run build # production build into _site/Start with the live site and its "Start here" guides:
Reference material for engineering teams operating commercial motor vehicle fleets. Regulatory citations are provided for engineering context and are not legal advice.