It’s 2am and a driver’s 11-hour clock has maybe 30 minutes left on it. The rest area at the next exit is full — trucks are already lined up on the on-ramp shoulder. The next public lot is 40 miles ahead, which the clock won’t cover, and nobody knows whether it has room either. So the driver does what tens of thousands do every night: parks somewhere they shouldn’t, or keeps rolling past the legal limit. Truck parking consistently ranks among the trucking industry’s top concerns year after year, and the reason it stays unsolved at the cab level is simple — a legal break is worthless if there’s nowhere to stop, and the driver finds out too late to do anything about it. That last part is the part software can fix.
Finding a Space Is a Planning Problem, Not a Luck Problem
The shortage is real and structural — there are far more trucks needing overnight rest than there are legal spaces for them. But a huge share of the daily pain isn’t the raw shortage; it’s the information gap. The driver can’t see which lots are full until pulling in, and the dispatcher planning the load has no parking picture at all. A stop that looks fine on a map at 9am dispatch is a gravel shoulder by the time the truck arrives at midnight.
Turning that into a planning decision needs two things the route already implies: where the parking is along the corridor, and how much of it is actually open when the truck will be there. The first has existed for years. The second is finally becoming available — in pieces — and that’s the part that changes the workflow.
The Data Exists — in Two Forms
Truck-parking data comes from two complementary public sources, and they answer different questions:
- The national inventory — where parking exists. A federal facilities dataset catalogs public rest areas and known truck-parking sites across the country, with locations, capacity, and basic attributes. This is your map of where a truck can legally stop — comprehensive in coverage, but static: it tells you a site has 60 spaces, not how many are free right now.
- Live availability — how many spaces are open. A growing number of state DOTs run Truck Parking Information Management Systems (TPIMS) — the in-pavement sensors and roadside signs you’ve seen reading “REST AREA — 12 SPACES.” Those same counts are published as data. Coverage is still a handful of states rather than the whole map, but where a site is instrumented, you get a live, refreshing count of open spaces.
The catch is the one that shows up everywhere in this domain: these are separate feeds in separate formats from separate agencies, each on its own schema and refresh cadence — the same per-source integration tax we wrote about in the five road-data problems every NA fleet team knows. Stitched together and normalized, though, they become one answer: the full map of where to stop, with live counts layered on wherever a state publishes them.
What a Parking Stop Needs to Tell You
A parking feature is only useful to a planner when it answers the operational questions, not just “there’s a rest area here”:
- Where, and which side — the exact location and the direction of travel it serves, so a northbound truck isn’t routed to a southbound-only lot.
- What kind, and how big — public rest area versus known truck stop, and the total truck-space capacity.
- How many are open right now — the live available-space count where the site is instrumented, with the timestamp of the last update so stale data is obvious rather than misleading.
- What’s there — amenities that decide whether a stop is viable for a 10-hour reset versus a quick 30-minute break.
Putting It on the Corridor
The operational need isn’t “a database of rest areas.” It’s “show me the truck parking on this route, with whatever live counts exist, before the driver commits to a stop.” Once the inventory and the TPIMS feeds are normalized into one schema, that’s a single query along the corridor instead of a fan-out across federal and state sources:
GET /api/v1/features/corridor?
type=truck_parking&
from=41.88,-87.63&
to=39.10,-94.58&
buffer_km=5
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": { "type": "Point", "coordinates": [-89.62, 40.71] },
"properties": {
"type": "truck_parking",
"name": "I-55 NB Rest Area (Lincoln)",
"direction": "NB",
"facility_type": "public_rest_area",
"capacity": 62,
"available_spaces": 9,
"availability_updated": "2026-06-26T06:18:00Z",
"amenities": ["restrooms", "lighting"],
"metadata": { "source_feed": "tpims", "state": "IL" }
}
},
{
"type": "Feature",
"geometry": { "type": "Point", "coordinates": [-90.20, 39.80] },
"properties": {
"type": "truck_parking",
"name": "US-67 Truck Parking",
"direction": "both",
"facility_type": "truck_stop",
"capacity": 40,
"available_spaces": null,
"amenities": ["restrooms", "fuel", "food"],
"metadata": { "source_feed": "bts", "state": "IL" }
}
}
]
}
One call, the Chicago–Kansas City corridor, every known parking site on it. Where a state runs TPIMS, available_spaces carries a live count and a timestamp; where it doesn’t, the site still shows up from the national inventory with available_spaces: null — an honest “we know it’s here, we don’t have a live count” instead of a false promise. That distinction is the whole point: a planner can prefer instrumented sites near the deadline and fall back to known lots everywhere else.
Where Parking Meets the HOS Clock
Parking and hours-of-service are the same problem looked at from two ends. The clock decides when the truck has to stop; the parking data decides whether it can. On its own, a list of nearby lots is useful; tied to the driver’s remaining hours, it becomes a go/no-go answer.
That’s exactly how it connects to HOS break planning on the route: send the driver’s clock with the route, and each required break and drive-limit stop comes back with the truck parking reachable before the deadline — and a feasible flag when nothing legal is in range. Layer live availability on top and “reachable” sharpens into “reachable and likely to have room,” so dispatch can move the stop earlier while there’s still slack in the clock, instead of discovering the lot is full when there’s no clock left to spend.
What You Can Build With It
With truck parking in the same schema as everything else on the route, the integrations get short:
- Dispatch that plans the overnight, not just the delivery — place the rest stop at load planning, with capacity and live counts in view, not at 2am.
- Driver alerts as the clock winds down — surface the next few viable lots ahead, instrumented ones flagged, while there are still hours to reach them.
- Honest ETAs — a reset has to happen somewhere; planning the actual stop makes the arrival estimate real instead of optimistic.
- Corridor risk and compliance views — parking alongside bridge clearances, work zones, and incidents in one layer (see truck routing with corridor hazard warnings).
Provenance, and the Honest Limits
Parking data comes from official sources — the federal facilities inventory and state DOT TPIMS feeds — which is what makes it authoritative rather than crowd-guessed. We don’t overstate it. Live counts exist only where a state has instrumented a site, so most of the map is still inventory-only; capacity and amenity detail vary by source; and a live count is only as fresh as the feed behind it, which is why every count carries its update timestamp. This is information, not a reservation — the public feeds tell you what’s open, not hold a space for you; booking lives in separate private systems. The job we take on is keeping the federal inventory and each state’s TPIMS feed parsed, current, and in one shape as they grow and drift — so it’s not yours.
Try It
- API docs — the
featuresand corridor surface, includingtruck_parking - Live map — see truck-parking sites and live counts where states publish them
- Free API key — no credit card, 14-day trial
The next legal stop, with room — before the clock runs out
The national truck-parking inventory plus live space counts where states publish them, normalized into one schema and queryable along any corridor — and tied to the HOS clock so the break is planned, not gambled. Free 14-day trial. No credit card.
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