New Jersey tolls: how to maintain

Files: /srv/toll/draft/NJ, last built 2026-10-10 01:56 ET · the NJ toll page · map test · facts below are read from the files each time this page is built (python3 /home/geo1/system/handbuilt/maintain_pages.py NJ)

Procedure for this state

nj_state.py takes the NJTA Turnpike and Parkway amounts from the NJ corpus (/home/geo1/maps/toll/corpus/NJ, 2026-10-09) and adds positions (NJTA's own GIS layers for Turnpike interchanges and Parkway plazas), the Atlantic City Expressway, the Port Authority crossings, and the Burlington and Cape May county bridges.

The corpus adapter is /home/geo1/maps/toll/bin/adapters/nj.py (rewritten 2026-10-09 after the original was overwritten by a stub on 2026-10-04): it parses the 8 Turnpike class PDFs (entry × exit matrices; cells placed in their exit column by position) and the 3 Parkway tables, and reproduced every stored price (17,581 rows) exactly. Turnpike interchanges are named from NJTA's Interchanges layer ("#10 Edison Int."). Refresh: cd /home/geo1/maps/toll && python3 bin/tollup.py NJ update && python3 bin/check.py NJ, then TOLL_WEB=/home/geo1/maps/toll/corpus python3 bin/publish.py NJ if anything changed, then rebuild the draft. The schedule URLs carry the year (2026-turnpike-class-…): for 2027 edit TPK_CLASSES / GSP_TABLES in the adapter.

When to check

• NJTA (Turnpike, Parkway): the 2026 schedules (njta_tpk_class1..6, classb2, classb3, njta_gsp_*); their URLs carry the year, so a new year means new URLs. Peak/off-peak windows: njta_toll_discounts.
• Atlantic City Expressway: effective 2026-01-04, typed into nj_state.py; amounts from sjta_ace_toll_calculator (ace_calc.json).
• Port Authority: GWB, Lincoln, Holland, Goethals, Bayonne, Outerbridge (panynj_tolls); amounts typed into nj_state.py (cars 14.79 / 16.79 / 23.30; trucks 43.34 / 45.34 / 51.34), effective 2026-07-12 per the page. Collected only entering New York.
• Burlington County Bridge Commission (Tacony-Palmyra, Burlington-Bristol): bcbc_toll_rates, typed in (3.00 / 4.00).
• Cape May County bridges (5): the Commission's 'Toll Schedule' on capemaycountynj.gov (cmcbc_toll_schedule, 9 classes, parsed by nj_state.py); E-ZPass and Toll-by-Plate pay the same (cmcbc_faq). The page prints no effective date: re-fetch each spring. Each bridge is charged in one direction only (cmcbc_bridge_history: Ocean City-Longport southbound, stated; the others by their OSM gantry direction: Corson's Inlet and Grassy Sound northbound, Townsends Inlet southbound, Middle Thorofare westbound).

Rebuild

1. python3 tollnode_ways.py NJ (NJ's OSM files are links to the shared panj_* extract, box -80.6,38.9,-73.88,42.3).
2. Full chain with NJ. NJTA ArcGIS layers can be re-paged with python3 fetch_layer.py NJ <name> <url>.
3. Rebuild NJ after every NY build (NY's congestion-zone non-toll gantries leave NJ's untied list).

Watch out

• Turnpike trips are matched by interchange number (#<n>) because the corpus location names are wrong ("#8 Cape May Point").
• assert len(PLZ) == 34 (Parkway plazas) and the hard-coded milepost list in the MileMarkers query break on a schedule layout change. ACE exit 7S and 41→44 are hand-coded.
• Not carried: the Port Authority Mid-Tier rate ($19.55 printed) and classes above 2; BCBC above class 1; non-NY/NJ E-ZPass at Port Authority crossings pays the mail rate.
• The draft's time_bands.csv is empty (the corpus one has the 12 NJTA windows); the page lede still says some facilities are "priced later".
• No price check is recorded for the draft; the regression trips below are the only check.

The chain every state shares

Hosts: geo1 (192.168.50.220) holds the sources, builders, drafts, map and API; b100 (192.168.50.14) is the test client. All times are Eastern.

1. Refresh a source

1. Fetch into a new dated folder: python3 /home/geo1/system/handbuilt/fetch_list.py NJ [name ...] (no names = every line of urls.txt). A new source: add a line to urls.txt first, then fetch it by name.
2. A site that refuses geo1 (HTTP 403) or scripts: fetch it on b100 in headless Chrome with node ~/apitest/fetch_b100.mjs <out> <name>=<url> ..., then rsync -a <out>/ geo1@192.168.50.220:/home/geo1/maps/toll/NJ/sources/. Its meta.json records that it came from b100.
3. Compare the new file with the previous dated one (diff, pdftotext -layout for PDFs). Same content: nothing to do. Changed amounts or a new effective date: rebuild (step 2) and update the expected amounts of the affected regression trips from the operator's own figures.

1b. The corpus (NJ, PA, VA start from it; DE is published from it)

python3 /home/geo1/maps/toll/bin/tollup.py NJ update fetches the adapter's sources (bin/adapters/nj.py), stores a document only when its content changes, writes one rate file per version under /home/geo1/maps/toll/NJ/rates/ and appends every price change to history.csv (every run to runs.log). TOLL_WEB=/home/geo1/maps/toll/corpus python3 /home/geo1/maps/toll/bin/publish.py NJ writes the corpus /home/geo1/maps/toll/corpus/NJ from it (DE: plain publish.py DE writes /srv/toll/DE). Never hand-edit either. Then rebuild the draft (step 2) so it picks up the new rates.

2. Rebuild

• Amounts or schedules changed, toll points unchanged: cd /home/geo1/system/handbuilt && python3 nj_state.py
• The full chain in one command: bash /home/geo1/system/handbuilt/chain.sh NJ (logs in /tmp/nj1.log ... nj6.log; it prints the points, any point on no road and the untied count). The builders written since October 2026 share state_kit.py (sources, booths, terms, rows, write) and own_state.py (keeps a state's untied list to toll nodes inside the state, by the local geocoder; cache osm/node_state.json).
• Toll points added, moved or renamed, or a new OSM extract: the full chain (about 2-4 minutes):
  cd /home/geo1/system/handbuilt; H=$(ls osm/nj_highways_*.geojsonseq); J=$(ls osm/nj_junctions_*.geojsonseq)
python3 nj_state.py && python3 osm_streets.py NJ $H $J && python3 nj_state.py && python3 osm_snap.py NJ && python3 toll_ways.py NJ && python3 nj_state.py
• Read the end of toll_ways.py's output: nodes claimed by two points: {} and points on no road: [] must both be empty.
• A point whose booth is an OSM way (OSM way <id>) needs that way in osm/nj_lane_ways.json (the builder writes it). A point on a road priced entry to exit needs gantry in its location name, or toll_ways.py treats it as a position-only exit marker.
• Rebuilding NY changes osm/ny_not_toll_nodes.json (congestion-zone gantries that are not tolls); every state's untied list leaves those out, so rebuild NJ and PA after NY.

3. Load it into the API and test from b100

1. The API reads the toll pages and tolls.js when it starts. Restart it: cd /home/geo1/maps/api && kill $(cat logs/test.pid); (nohup /home/geo1/maps/node/bin/node server.mjs > logs/server.log 2>&1 & echo $! > logs/test.pid) (it is started by hand, not a service).
2. From b100 only: python3 ~/apitest/run.py ~/apitest/site/cases.json. Every trip must be OK. Add a trip for every rate or rule you change, with the amount taken from the operator's own source.
3. Engine change (tolls.js): edit /home/geo1/maps/web/tolls.js, check with /home/geo1/maps/node/bin/node --check, copy to /srv/maps/tolls.js with sudo install -o www-data -g www-data -m 644, restart the API, run the trips.

4. OpenStreetMap refresh (all states at once)

The builders match toll points to the OSM way ids the router drives, so the extracts here must come from the same us-latest.osm.pbf the router (Valhalla, /home/geo1/maps/valhalla_data) was built from (now 2026-09-27). New OSM data means: rebuild the router tiles, then for each state cut the box, rebuild its OSM inputs and run the full chain, then compare untied_toll_nodes.csv and the estimated positions below. The box for NJ and the cutting commands are in the state's procedure above; the toll-node and way index comes from python3 tollnode_ways.py NJ.

5. Publish

A rebuild writes the draft (/srv/toll/draft/NJ); the published page (/srv/toll/NJ) does not change. python3 /home/geo1/maps/toll/bin/promote.py review NJ lists the draft for review: the map and the API then read it instead of the published page. Run the regression trips from b100. After approval, python3 /home/geo1/maps/toll/bin/promote.py publish NJ copies the draft to /srv/toll/NJ (the previous page is kept under /home/geo1/maps/toll/NJ/published/<time>/) and takes it off the review list. After a change, update the coverage line for NJ in the API page (/api.html, generator /home/geo1/maps/api/doc/api_page.py) and rebuild this page: python3 /home/geo1/system/handbuilt/maintain_pages.py NJ.

Sources (24)

Each fetch is kept in its own dated folder under /home/geo1/maps/toll/NJ/sources/<name>/; the builder always reads the newest one, so a new fetch takes effect at the next rebuild and the old one stays for comparison.

Facilities (16)

Positions placed by estimate (0): re-check when OpenStreetMap or the operator changes

None: every position comes from an official layer or a mapped toll node.

Decisions by rule

R1: 63, R2b: 20, R2d: 10, one: 5 (all in decisions.csv).

Open gaps (0)

None.

Untied OSM toll nodes: 223

Toll booths / gantries mapped in OpenStreetMap on or near this state's roads that no toll point claims; a route through one lists it under unpriced. After an OSM refresh, look at new ones here (untied_toll_nodes.csv): a new gantry on a priced road means a point is missing.

Regression trips for NJ (30)

Run from b100 (never on geo1): python3 ~/apitest/run.py ~/apitest/site/cases.json. Every trip must come back OK; a changed amount is either a rate change (update the expected amount from the operator's own source) or a fault.