# maps/router — route-aware planning primitives The Go backend for the "search along the route" capability ([DESIGN.md](../DESIGN.md), "Driving trips" section). Everything the LLM would otherwise *guess* about a trip — route shape, travel times, detour costs — is computed here and returned with provenance. ## What's in here ``` internal/geo/ dependency-free geodesy (haversine, point-to-line) internal/route/ Router interface + backends - valhalla.go: hosted/self-hosted Valhalla (works today; no geometry on the hosted instance → chord fallback) - osrm.go: local OSRM (full geometry; scripts/setup-osrm.sh) internal/plan/ the primitives: - stopcost.go: stop_cost = route(A,C via B) − route(A,C) - optimize.go: optimize_stops (exhaustive ≤10 stops, greedy above) - corridor.go: corridor = buffer band around the route cmd/routectl/ manual CLI: route | stopcost | optimize internal/traffic/ live-traffic pipeline (511NY → Overpass match → speeds) cmd/traffic/ fetch | match | apply (segment-speed CSV → re-customize) cmd/bench/ benchmark runner (bench/tasks.json) bench/tasks.json 5 real NE-corridor tasks with recorded goldens scripts/setup-osrm.sh self-host OSRM over the NH+MA+CT+NY extract ``` Zero third-party Go dependencies (stdlib only). ## Try it (hosted Valhalla, no setup) ```sh go run ./cmd/routectl route --from 44.054,-71.650 --to 40.729,-73.966 # Lincoln NH → Queens NY: ~5h32m, 531 km, I-93/90/495/290 (NOT via Boston) go run ./cmd/routectl stopcost --from 44.054,-71.650 --to 40.729,-73.966 \ --stop 42.2767,-71.806:60:cascade \ --stop 43.507,-71.548:50:ladd \ --stop 43.642,-71.156:120:mtmajor # cascade detour= 6 min (on the I-495 corridor) # ladd detour=17 min # mtmajor detour=80 min (off-corridor) go run ./cmd/routectl optimize --from 44.054,-71.650 --to 40.729,-73.966 --k 2 \ --stop 42.2767,-71.806:60:cascade --stop 43.507,-71.548:50:ladd \ --stop 43.902,-71.64:60:plymouth --stop 42.425,-71.68:60:brewsters # order: ladd -> cascade detour: 23 min ``` ## Tests ```sh go test ./... # unit tests, offline, fast go test -tags integration ./... # live router (Valhalla by default) ROUTER_BACKEND=osrm ROUTER_URL=http://localhost:5000 \ go test -tags integration ./... # against local OSRM ``` The integration tests encode the key regression: the fastest Lincoln→Queens drive stays ≥15 km from Boston (it goes via Worcester, I-90/I-495/I-290). That is exactly the fact an LLM confidently gets wrong. ## Benchmark ```sh go run ./cmd/bench # valhalla goldens (bench/tasks.json) go run ./cmd/bench --tasks bench/tasks.osrm.json # local-OSRM goldens go run ./cmd/bench --record # re-record into the file you're running ``` Tasks are real OD pairs across NH/MA/CT/NY with real POI candidates and dwell times. **Goldens are per backend+profile** (see profile deltas below): `bench/tasks.json` carries Valhalla goldens, `bench/tasks.osrm.json` local-OSRM goldens. Both currently **26 PASS / 0 FAIL**, and both routers pick the *same* optimized orders for all 5 tasks despite their different clocks. Check types: | type | meaning | |---|---| | `golden_route_min` | direct route time within a recorded band (±10%) | | `route_avoids` | route stays ≥ N km from a point (geometry, or bbox when the backend has none) | | `stop_free` / `stop_detour_at_least` / `stop_detour_band` | computed detour of a candidate vs an expected band | | `optimize_order` | the exhaustive optimum matches the recorded order | | `crosscheck` | single multi-waypoint route ≈ matrix-summed prediction (≤ maxPct drift) | Current state: **26 PASS / 0 FAIL** on both hosted Valhalla and local OSRM (separate golden files). ## Self-hosted OSRM (full geometry, exact corridors) — verified `scripts/setup-osrm.sh` is the full, tested path (no sudo, no conan): `deps.sh` builds bzip2, Lua 5.2, oneTBB, Boost 1.84 (b2 + hand-rolled CMake config files — boost release tarballs ship no CMake support) and osmium-tool; then it builds OSRM 26.4.1, merges the 4 state PBFs (osrm-extract takes one input), extracts (~8 GB peak RAM, ~4 min), partitions, customizes, and serves on `:5000`. Artifacts live in `$HOME/osm-build` by default (override with `W=`). ```sh ROUTER_BACKEND=osrm ROUTER_URL=http://localhost:5000 go test -tags integration ./... go run ./cmd/routectl route --backend osrm --from 44.054,-71.650 --to 40.729,-73.966 # 6h50m, 514.4 km, 9068 geometry points (exact corridor available) ``` With OSRM, `Route.Geometry` is populated, so the corridor is exact (distances to the actual routed polyline) instead of the chord fallback used with the hosted Valhalla. This is what makes `search_along_route`'s spatial pre-filter (PostGIS `ST_DWithin` on the corridor polygon in the v1 design) sound. ### Profile deltas matter (measured, same OD pair) | backend | Lincoln NH → 39-84 46th St, Sunnyside | |---|---| | Valhalla `auto` | 327 min, 529 km (97 km/h avg) | | OSRM stock `car.lua` | 406 min, 511 km (76 km/h avg) | | OSRM US-tuned speed table | 377 min, 526 km (84 km/h avg) | All three avoid Boston and take the I-93/90/495/290 corridor — same route *shape*, different *clocks*. Why the clocks differ: **the times are the profile's speed assumptions, not measurements.** OSRM's stock `car.lua` lists `motorway = 90` km/h and applies a global `speed_reduction = 0.8` → untagged motorway miles run at ~72 km/h (45 mph). That's a generic/European-flavored default (90 km/h mirrors the European "unsigned road = 90" convention), and US interstates are `maxspeed`-untagged in large stretches, so the default rules. Re-extracting the same data with a US-tuned table (`profiles/car-us.lua`: motorway 135, trunk 130, primary 110, ... through the same 0.8 factor) closes two-thirds of the gap (406 → 377 min) and even changes the *route choice* (526 km now — faster motorways make longer interstates win). Valhalla's `auto` is simply calibrated more aggressively (97 km/h average). Consequences: (a) goldens in the bench files are per backend+profile — re-record (`--record`) after switching; (b) any user-facing arrival-time math must use one backend consistently per trip and say which; (c) "computed" provenance should carry the profile name, because two computed numbers for the same leg can differ by 20–25%. ### Second dataset: Colombia walking router (`:5003`) — verified `scripts/setup-osrm-colombia.sh` builds a second OSRM instance over the **official `foot.lua` profile** (real walking speeds, ~5 km/h) for the Colombia trip (Cartagena + Santa Marta boxes). The country PBF (329 MB) is too big for `osmium extract -s complete_ways` on this box (~2 GB free RAM), so `crop_pbf.py` streams it in three passes and keeps only the two city boxes (~4.6 MB, 565k nodes / 118k ways, ~3 min). Verified: Cartagena Getsemaní → Castillo San Felipe routes 7.98 km / 96 min (≈ 5 km/h). `mock/server.js` maps `?router=colombia` to `:5003` and `?router=northeast` (default) to `:5000`, so each trip in the mock is routed on its own extract. Notes: - The cropper **drops relations** (the foot profile ignores turn restrictions) and node metadata; ways touching a box are kept whole. - OSRM v26 returns `Ok` with distance 0 for out-of-coverage point pairs (not `NoTable`); the mock treats a zero-distance answer as "adjacent stops" and a no-route answer as fallback-to-estimate. - `crop_pbf.py` is a from-scratch PBF reader/writer (no PBF library available); framing = `[uint32 BE BlobHeader len][BlobHeader][Blob]`, validated against osmium's own test fixtures and `osrm-extract`. ## Live traffic (511NY → OSRM segment speeds) — verified OSRM v26 has a first-class mechanism for this: `osrm-customize --segment-speed-file speeds.csv` (CSV = `nodeA,nodeB,km/h`, OSM node pairs) rewrites edge weights and re-customizes the MLD in **~15 s — no re-extract**. The traffic layer is a renamed copy of the dataset (customize writes the contract files in place; v26 has no `--output-prefix`), served by its own `osrm-routed` process. `internal/traffic` + `cmd/traffic` implement the whole loop: ```sh # 1. pull incidents (needs a 511NY key — 511ny.org → Sign Up → # account → API key; the key can't be requested programmatically) go run ./cmd/traffic fetch --key "$FIFTYONE_NY_KEY" --out events.json --raw raw.json # 2. match each incident to OSM node pairs (Overpass: ways around the # point; within 150 m the highest-class road wins, so "I-90" beats a # closer service road) and expand to the affected stretch go run ./cmd/traffic match --events events.json --out speeds.csv # 3. copy the base dataset (CoW) + re-customize the traffic layer go run ./cmd/traffic apply --csv speeds.csv --data $HOME/osm-build/data # → serve: osrm-routed --algorithm mld --port 5002 $HOME/osm-build/data/northeast-traffic.osrm ``` Verified end-to-end: a synthetic `Road Closed` on a 0.87 km I-90 stretch routed at 38 s (static `:5000`) becomes 142 s on the traffic layer (`:5002`) — same path, closure speed. `match` was tested against live Overpass data (real OSM node IDs; class-window selection; unknown event types ignored). Notes: - **Incident policy speeds are `assumed`** (policy map in `internal/traffic/policy.go`), not measurements. Routes from the traffic layer must carry provenance `computed(traffic, as_of , policy=assumed)` per DESIGN.md R4 — and the `as_of` age is a product-visible confidence signal. - **Closures at 5 km/h are slow, not blocked.** True blocking needs the `--turn-penalty-file` mechanism (untested) or a graph edit; 511NY "Road Closed" events should probably map to blocking, not 5 km/h. - **Free coverage is patchy**: 511NY (NY) + MassDOT (MA, separate application) give incident-level data; there is no free floating-car feed, so per-leg traffic coverage is a confidence tier, not a boolean. - 511NY API: base `https://511ny.org/api`, OData-v3 shape (`{"d":[...]}`), 10 calls/min throttle. `fetch` decodes leniently and archives the raw body for schema confirmation on first live run. ## Design notes - **The route is computed, never narrated.** No function in this module returns a time estimate from model knowledge; every number is router output (`computed` provenance per DESIGN.md R4). - **Matrix via pairwise route calls.** Valhalla's `sources_to_targets` caps at 150 km, so the common path is `BuildMatrix` (pairwise `/route`). OSRM's `Table` service is available for the local backend when a single-call matrix matters. - **optimize_stops semantics**: the user asked for *k* stops ("two hikes"), so the objective minimizes total = detour + dwell + overhead over ordered subsets of **exactly k**, with fallback (a) to the best feasible smaller set when a time budget is given, then (b) to the best exactly-k ignoring the budget, flagged `Feasible=false`. "At most k" without a budget degenerates (zero stops always wins). - **Stop coordinates are POI centroids.** The router snaps to the network; a 200 m centroid error moves a 531 km route's detour by seconds, not minutes.