Built Inside the Problem.
Founded by a Ph.D., P.E. who spent years in public-sector freight planning — the same review environment your work has to survive.
Why it matters: Truck parking data fails in technical review, not in collection. We build for the review.
The founder
Troy Choi, Ph.D., P.E.
Founder of Trucking Lab
- Ph.D. in transportation engineering
- Licensed Professional Engineer
- Years of freight planning and truck parking demand analysis inside public agencies
That work exposed the same gap on every project: parking data was outdated, unverifiable, or missing. Agencies didn’t need more raw data — they needed evidence that survives planning studies, policy debates, and funding review.
Why we exist
The big picture: Truck parking looks narrow. It isn’t. It drives driver safety, supply chain efficiency, land use, and where infrastructure dollars go.
Most agencies already have an inventory. The hard questions come next: which lots stay full, where unmet demand is growing, and which corridors need expansion first.
Trucking Lab answers those questions — with observed utilization, pattern analysis, and demand modeling, from single facility to statewide.
How we work
One rule: freight data must be practical, explainable, and defensible.
Observed first
Real utilization and parking behavior — not static lists or scraped app data.
Modeled second
Models fill gaps and project future demand. They never replace evidence.
Built for decisions
Every output aims at one thing: a defensible answer in a freight plan, study, or grant.
4 questions for the founder
Why truck parking?
Because it’s tied to driver safety, supply chains, and infrastructure dollars — yet agencies can’t defend their utilization numbers. I stopped seeing it as a directory problem and started seeing it as a planning data problem.
Why partner with you?
Your team is capable. But freight contracts are competitive, and inventory cleanup burns billable hours. We hand you engineering-grade data on Day 1 so senior staff can do analysis, not data entry.
How are you different from driver-facing data vendors?
They answer “where can I park tonight?” We answer “which facility needs expansion, and can you prove it?” Observed utilization, parking patterns, and unmet-demand modeling — built for agency studies, not trip planning.
What’s the long-term vision?
Truck parking is the starting point. The core is defensible facility-level data and demand modeling — a foundation that extends to corridor planning, EV truck charging siting, and other infrastructure decisions.
Put it to the test.
Tell us what you’re working on — a freight plan, a parking study, or a corridor review.
Start a Conversation Or see the data first: request a free pilot dataset.