For DOTs, MPOs, and consulting teams
Win freight work. Deliver faster.
Start analysis on Day 1 with verified truck parking data, 35% cleaner than legacy Jason’s Law inventories.
Weeks of inventory cleanup burn billable hours before analysis starts. We hand you the clean base.
What you get
Six deliverables, ready for the report.
Each one drops straight into freight plans, parking studies, and grant narratives.
- 01
Report-ready maps
State, county, and corridor layers for public, private, and undesignated parking, built for exhibits.
- 02
Clean GIS package
Verified, structured, deduplicated. No geocoding or spreadsheet cleanup on your end.
- 03
Utilization patterns
A representative weekly profile per facility, built from months of observations. Month-by-month profiles optional.
- 04
Demand prediction
Where demand will exceed supply, before trucks spill onto ramps and shoulders.
- 05
Driver opinion mining
Thousands of public driver discussions, turned into report-ready findings. No surveys.
- 06
EV corridor support
Charging placement analysis when trajectory or origin-destination data exists.
Build or buy
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. | Facility-level weekly profiles, ready as add-ons. Monthly breakdown optional. |
| 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 and facility maps
- Utilization summaries
- Demand prediction
- Undesignated parking context
Where it fits
State and regional freight plans
- Corridor-level parking context
- Regional supply summaries
- Access gaps
- Infrastructure needs
Methods
Built on research, not scraping.
Every deliverable is grounded in transportation research methods, peer-reviewed at TRB 2026 and 2027.
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.
See the data first. Free.
Request a pilot dataset for one county or corridor, delivered in 3 business days. No sales call required.