Trucking Lab

Evidence-Based Truck Parking Intelligence

Proposal-Ready Freight Intelligence

Win Freight Work. Deliver Faster.

Start analysis on Day 1 — verified data, 35% cleaner than legacy Jason’s Law inventories.

Why it matters: Weeks of inventory cleanup burn billable hours before analysis even starts. We hand you the clean base.

What You Get

Six deliverables that drop straight into freight plans, parking studies, and grant narratives.

1

Report-Ready Maps

State, county, and corridor layers — public, private, and undesignated — built for exhibits.

2

Clean GIS Package

Verified, structured, deduplicated. No geocoding or spreadsheet cleanup on your end.

3

12-Month Availability Trends

A full year of observed facility-level patterns — monthly, weekly, and peak-period.

4

Demand Prediction

See where demand will exceed supply — before trucks spill onto ramps and shoulders.

5

Driver Opinion Mining

Thousands of public driver discussions, turned into report-ready findings. No surveys.

6

EV Corridor Support

Charging placement analysis, when trajectory or origin-destination data exists.

Why Not Build It In-House?

You can. It costs weeks of staff time — and the result is hard to defend in technical review.

Criteria Internal Research Trucking Lab
Consistency Varies by staff, source, and timing. One standard. Planning-ready attributes.
Freshness Stale unless every site is manually rechecked. Updated by driver reports, source checks, and recurring review.
Capacity review Manual guesswork. Weak documentation. Imagery, driver feedback, and usability checks — documented.
Availability trends Needs separate data collection and modeling. 12-month facility-level trends, ready as add-ons.
Maps and tables More GIS work, formatting, and QA time. Prepared for proposal and report use.
Demand prediction Needs its own methodology and senior review. A structured model layer, ready to cite.

Where It Fits

Truck Parking Studies

Inventory chapters, facility maps, utilization summaries, demand prediction, undesignated parking context.

State & Regional Freight Plans

Corridor-level parking context, regional supply summaries, access gaps, infrastructure needs.

Built on Research, Not Scraping

Every deliverable is grounded in transportation research methods — demand modeling, inventory validation, geospatial analysis.

Demand Modeling Corridor and regional methods for parking pressure and unmet demand.
Driver Opinion Mining Public driver discussions, converted into citable planning findings.
EV Corridor Planning Charging placement support when trajectory or O-D data is available.

Built by Troy Choi, Ph.D., P.E. — freight planning, truck parking, and transportation safety, with prior public-sector experience.

See the data first. Free.

Request a pilot dataset for one county or corridor — delivered in 3 business days.

Request Pilot Dataset No sales call required.