Data Sources and Methodology
US Trip Planner turns public road, climate, fuel, transit, and travel datasets into route pages that are easier to use than raw maps or spreadsheets. This page explains where the data comes from, how we combine it, and where the limits are.
Last updated: April 18, 2026
Editorial Standards
US Trip Planner is operated by COD Solutions Oy, a Finnish company based in Helsinki. Route pages are compiled by our in-house planning team, which owns the data pipelines, quality checks, and writing standards described on this page. We do not sell placements, we do not accept sponsored routes, and we do not publish user-submitted routes unless they pass the same checks as internal builds.
Source selection
We only use authoritative open datasets — OSRM / OpenStreetMap, USGS, NOAA, EIA, BTS, NREL, NPS, Wikivoyage (CC BY-SA), Wikidata (CC0), and Wikimedia Commons. We do not scrape third-party travel content, and we do not republish user reviews.
Publication check
Every route page passes a completeness check before it goes live: accurate geometry, a computed drive character, a full trip plan, and descriptive content must all be present. Routes missing any piece stay in draft until they are complete.
Narrative drafting and AI use
Descriptive paragraphs on each route page are generated by an AI language system that only references our computed route data — distance, main roads, elevation, seasonal conditions, fuel cost. It cannot add landmarks, businesses, or claims beyond that data. The team reviews output and tunes the generation rules.
Corrections & feedback
Every route page has a thumbs-up/thumbs-down feedback prompt and a comments section. Reports of errors are triaged by the team; systemic issues (bad geometry, wrong fuel price, misclassified road) are fixed upstream in the pipeline so every similar route benefits.
Company details, physical address, and contact information are published on the about page. For a specific factual correction on a route page, use the contact form and include the route URL.
How a Route Page Is Built
1. Base route calculation
We calculate the driving route from the road network and store geometry, distance, duration, and step-level directions.
2. Enrichment layers
We sample that route against elevation, fuel, weather, POI, park, EV charging, and transit data sources.
3. Planning summaries
Those signals are turned into stop ideas, overnight pacing, route character notes, cost guidance, and comparison summaries.
4. Refresh and rebuild
Some inputs refresh on a schedule and some route enrichments are rebuilt when route or source data changes.
Core Data Sources
Routing: OpenStreetMap + OSRM
The base route comes from OpenStreetMap road data and OSRM routing. That gives us route distance, estimated driving time, geometry, turn structure, and major road context used across the site.
Limit: this is route-network based guidance, not live traffic navigation.
Stops and POIs: OpenStreetMap via Overpass API
Restaurants, cafes, viewpoints, historic sites, and other stop suggestions are pulled from OpenStreetMap near sampled points along the route. We then estimate detour distance and time so users can judge whether a stop is practical.
Limit: POI coverage depends on how complete the source map is in each region.
Elevation: U.S. Geological Survey
Elevation profiles are built by sampling the route against USGS elevation services. This helps us estimate total ascent, descent, and terrain character for long drives or mountain corridors.
Limit: sampled profiles smooth reality and will not capture every short grade change.
Fuel costs: U.S. Energy Information Administration
Fuel estimates use state-level gas and diesel pricing as the cost layer behind route-distance calculations. We use that to produce directional one-way trip budgets rather than a generic national average.
Limit: real trip cost varies with your vehicle, your exact stops, and live pump prices.
Climate scoring: NOAA climate normals and route weather data
Best Time to Drive pages combine route-adjacent weather station context with scoring logic for temperature, precipitation, seasonality, and general driving comfort.
Limit: climate normals are long-run averages, not forecasts for your exact travel date.
Flight comparisons: Bureau of Transportation Statistics
Drive-vs-fly summaries use historical U.S. aviation market data to estimate comparative time and cost context for airport pairs near the route endpoints.
Limit: this is planning context, not a live airfare or inventory feed.
Train and bus comparisons: GTFS feeds
Amtrak and FlixBus route and schedule data is synced from public GTFS feeds. We use it to identify plausible non-driving alternatives and surface route-level comparisons.
Limit: operators can change schedules and prices faster than our snapshots.
City travel guides: Wikivoyage
City hub pages include a "Traveler Guide" section summarized from Wikivoyage, a community-written open travel guide. We pull understand / see / do / eat / drink / sleep / get-in sections per city, truncate them to manageable length, and link back to the source article. Content is reused under CC BY-SA 4.0.
Limit: small towns may not have a Wikivoyage article; ambiguous city names (e.g., matching a country) are filtered out.
Recent seismic activity: USGS Earthquake Hazards
State trip index pages for seismically active western states (CA, NV, OR, WA, AK, HI, UT, MT, ID, WY, AZ, NM) include a rolling 7-day summary of M3.0+ earthquakes from the USGS Earthquake Hazards Program real-time feed. Queries use a per-state bounding box; data is refreshed multiple times daily and is public domain.
Limit: bounding boxes may include events just outside the strict state border; M3.0+ excludes smaller everyday microseismic activity.
Demographics: US Census Bureau
City hub "by the Numbers" blocks display population, median household income, median home value, and median age from the American Community Survey 5-year dataset via the Census Bureau's open API. Place names from our route data are matched to Census "place" geography (cities, towns, CDPs) within their state. Census data is public domain.
Limit: small unincorporated communities may not have a Census entity; estimates are 5-year averages, not current-year counts.
Structured city facts: Wikidata
Hub "at a Glance" blocks, notable-people lists, and landmark rosters are built from Wikidata via its SPARQL query service. We use properties such as P1449 (nickname), P571 (founded), P190 (sister cities), P19 (place of birth), P131 (located in), P1435 (heritage designation), and P18 (image). People are ranked by Wikipedia sitelink count as a proxy for notability. Wikidata content is CC0 (public domain).
Limit: coverage varies by city; metro-level entities may show fewer entries than their boroughs or districts.
Other enrichment layers
Depending on the route, we may also use public APIs for EV charging, national parks, air quality, and related route intelligence. We only surface these when the data is useful enough to support planning.
Photography and place visuals
Place hero images come from Pexels and Wikimedia Commons. Landmark and notable-people photos shown alongside Wikidata entries are served from Wikimedia Commons under their individual licenses (CC BY, CC BY-SA, CC0, or public domain). Photographer credit is displayed where provided. Visuals do not affect route scoring or recommendations.
How We Turn Data into Guidance
US Trip Planner does not just show raw fields. We compress source data into route summaries that answer practical questions: is this realistic in one day, where should you stop, how mentally demanding is the drive, and what season is easiest?
Some summaries are algorithmic and some are generated from structured signals. In both cases, the goal is planning clarity, not false precision.
Where several signals conflict, we prefer plain-language caveats over pretending the output is exact.
Known Limits
- Drive times are not live traffic forecasts.
- Fuel, flight, train, bus, and hotel costs are estimates rather than bookable quotes.
- POI suggestions depend on source-map completeness.
- Weather and climate guidance should always be paired with current forecasts.
- Transit comparisons may miss recent schedule changes or unusual itineraries.
- The real feel of a route still changes with construction, daylight, season, and traffic.
Editorial Independence
US Trip Planner is an independent project. Some hotel links may use Booking.com affiliate tracking, but affiliate relationships do not change route analysis, stop suggestions, drive difficulty, or best-time scoring.
We aim to show why a route looks the way it does, not just push a booking outcome.
Spotted a source issue or route page that looks off? Send us a note.