Traffic by hour of day and day of week, Queensland, 2025
liveOne row per count site, direction of travel and hour of the day on the Queensland state-declared road network for 2025, from the Department of Transport and Main Roads. Each row has the average volume in that hour on each day from Monday to Sunday, the weekday and weekend averages, the site's description, road section, through distance, segment, coordinates and TMR district and region.
Also called: Queensland traffic data averaged by hour of day and day of week, TMR hourly traffic counts, Queensland peak hour traffic by road.
Part of Traffic volumes on Queensland state-controlled roads, 2 tables the publisher releases together: Traffic census of state-controlled roads, Queensland.
- What is in each row?
- One traffic count site, direction of travel and hour of the day, with the average number of vehicles in that hour on each day of the week across 2025, the weekday and weekend averages, the site's road and location, and its TMR district and region.
- Why is this table for 2025 only?
- The publisher adds one workbook for each year, and each workbook names its sheet after its year. This entry reads the 2025 workbook. Earlier years are on the portal as separate files.
- Why are some day columns blank?
- The publisher leaves a day blank where a site has no average for that hour and day. The blank is kept as a null.

Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 24 fields, count and filter across all 84,032 rows and diff its versions. Every answer names the version and carries Transport and Main Roads's attribution. No key.
Then ask it: What does Traffic by hour of day and day of week, Queensland, 2025 hold, and what changed in the newest version?
claude mcp add --transport http publicdata https://publicdata.au/mcp One command. No key, no account, no sign-up.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
https://publicdata.au/mcp Streamable HTTP. Cursor, VS Code or any client that connects to a remote MCP server.
Using https://publicdata.au/llms.txt, how many people died on Queensland roads in 2025, by month? For an assistant that reads the web and has no connector.
A dashboard over every row. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=hour&metric=avg.weekday_average
Average weekday vehicles per site and direction: 621.8 15 to 16, 610.6 16 to 17, 587.5 14 to 15, 579.3 8 to 9.
Download it as Excel, CSV, JSON and 9 more formats
Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.
In your own tools
Use it in Excel, R, Python and more
Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.
The dated URL in the code never changes. https://publicdata.au/d/qld-traffic-by-hour-and-day/latest/ redirects to the newest version.
https://publicdata.au/d/qld-traffic-by-hour-and-day/latest/data.csv In Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.
https://publicdata.au/d/qld-traffic-by-hour-and-day/latest/data.csv In Power BI Desktop choose Get data, then Web, paste this address and choose Anonymous when asked how to sign in. A scheduled refresh reads the same address, so the report follows each new version.
library(publicdataau)
df <- pd_read("qld-traffic-by-hour-and-day")
pd_attribution(df) install.packages("publicdataau"). pd_read() fetches the version's Parquet file; pd_rows() and pd_aggregate() ask the query API instead, and pd_connect() attaches the DuckDB file.
import publicdata_au as pd_au
df = pd_au.read("qld-traffic-by-hour-and-day")
df.attrs["publicdata"]["attribution"] pip install "publicdata-au[pandas]". read() fetches the version's Parquet file; rows() and aggregate() ask the query API, and connect() attaches the DuckDB file.
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://publicdata.au/d/qld-traffic-by-hour-and-day/v/2026-06-03/data.duckdb' AS qld_traffic_by_hour_and_day (READ_ONLY);
SELECT region_name, count(*) FROM qld_traffic_by_hour_and_day.records GROUP BY 1 ORDER BY 2 DESC; The DuckDB file attaches read-only over HTTPS and only the blocks a query touches are read. Parquet works the same way: FROM read_parquet(url).
const res = await fetch("https://publicdata.au/api/v1/datasets/qld-traffic-by-hour-and-day/aggregate?group=hour&metric=avg.weekday_average");
const { rows, publicdata } = await res.json();
console.log(rows, publicdata.attribution); The query API answers a page on any site as well as Node, with no key. It returns the rows and the attribution the licence asks for.
What is in it
Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| site_id | integer | SITE_ID | |
| description | string | DESCRIPTION | |
| site_distance | number | SITE_DISTANCE | Through distance of the site from the start of the road section. |
| longitude | number | LONGITUDE | |
| latitude | number | LATITUDE | |
| road_section_id | string | ROAD_SECTION_ID | |
| road_name | string | ROAD_NAME | |
| tdist_start | number | TDIST_START | |
| tdist_end | number | TDIST_END | |
| gazettal_direction | string | GAZETTAL_DIRECTION | GAZETTAL for traffic in the gazetted direction of the road, AGAINST GAZETTAL for the other way. |
| hour | string | HOUR | The hour of the day, such as 7 to 8. |
| mon | integer | MON | |
| tue | integer | TUE | |
| wed | integer | WED | |
| thu | integer | THU | |
| fri | integer | FRI | |
| sat | integer | SAT | |
| sun | integer | SUN | |
| weekday_average | integer | WEEKDAY_AVERAGE | |
| weekend_average | integer | WEEKEND_AVERAGE | |
| district | integer | DISTRICT | |
| district_name | string | DISTRICT_NAME | |
| region | integer | REGION | |
| region_name | string | REGION_NAME |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is site_id, gazettal_direction, hour, road_section_id, tdist_start.
A sample of 10 rows
The busiest count sites in each TMR region between 4 pm and 5 pm on an average weekday, each region in turn, busiest first. A blank cell is shown as null.
| site_id | description | site_distance | longitude | latitude | road_section_id | road_name | tdist_start | tdist_end | gazettal_direction | hour | mon | tue | wed | thu | fri | sat | sun | weekday_average | weekend_average | district | district_name | region | region_name |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13007 | 380m Nrth of Helensvale Rd Exit60 PM5799 | 41.063 | 153.315294056 | -27.9001582232 | 12A | PACIFIC HIGHWAY (PACIFIC MOTORWAY) | 39.42 | 44.05 | AGAINST GAZETTAL | 16 to 17 | 7166 | 7143 | 6916 | 7043 | 6924 | 6136 | 6166 | 7041 | 6151 | 410 | South Coast | 310 | South Coast |
| 135799 | U12A-At Underwood Rd Bridge | 17.3 | 153.111209618 | -27.5936857439 | U12A | SOUTH-EAST ARTERIAL ROAD (PACIFIC MOTORWAY) | 16.3 | 17.33 | GAZETTAL | 16 to 17 | 6229 | 6402 | 6437 | 6395 | 5936 | 5240 | 4692 | 6273 | 4974 | 406 | Metropolitan | 306 | Metropolitan |
| 135995 | 10A - 500m South of Dohles Rocks Road | 0.3 | 153.019178935 | -27.290864041 | 10A | BRUCE HIGHWAY (BRISBANE - GYMPIE) | 0 | 1.9 | GAZETTAL | 16 to 17 | 6397 | 6314 | 5833 | 6018 | 5636 | 4537 | 4371 | 6066 | 4454 | 407 | North Coast | 307 | North Coast |
| 110013 | Southern Abutment of Saltwater Ck Bridge | 3.5 | 145.753417362 | -16.8940774226 | 20A | CAPTAIN COOK HIGHWAY (CAIRNS - MOSSMAN) | 2.43 | 3.7 | GAZETTAL | 16 to 17 | 2436 | 2593 | 2567 | 2538 | 2349 | 1165 | 1068 | 2496 | 1116 | 403 | Far North | 315 | North Queensland |
| 80023 | Ron Camm Bridge Permanent Counter | 1.055 | 149.167416 | -21.137942 | 10H | BRUCE HIGHWAY (MACKAY - PROSERPINE) | 0 | 2.145 | GAZETTAL | 16 to 17 | 2160 | 2259 | 2231 | 2101 | 1851 | 931 | 785 | 2110 | 862 | 405 | Mackay/Whitsunday | 314 | Central Queensland |
| 30003 | 22A-Southern End Overpass (CPLPS) | 112.15 | 151.956837039 | -27.5223966208 | 22A | NEW ENGLAND HIGHWAY (YARRAMAN - TOOWOOMBA) | 110.42 | 113.48 | AGAINST GAZETTAL | 16 to 17 | 1367 | 1438 | 1449 | 1416 | 1265 | 679 | 639 | 1388 | 660 | 402 | Darling Downs | 316 | Southern Queensland |
| 13008 | 580m south of Coombabah Crk PM5822 | 46.846 | 153.339972145 | -27.9458599044 | 12A | PACIFIC HIGHWAY (PACIFIC MOTORWAY) | 44.05 | 47.83 | GAZETTAL | 16 to 17 | 6982 | 7181 | 6958 | 6976 | 6557 | 5799 | 5914 | 6932 | 5857 | 410 | South Coast | 310 | South Coast |
| 161931 | U12A-South of Underwood Rd Overpass GAZ | 17.283 | 153.111238129 | -27.5935354345 | U12A | SOUTH-EAST ARTERIAL ROAD (PACIFIC MOTORWAY) | null | null | GAZETTAL | 16 to 17 | 5977 | 6040 | 6032 | 6014 | 5742 | 4972 | 4488 | 5963 | 4737 | 406 | Metropolitan | 306 | Metropolitan |
| 135995 | 10A - 500m South of Dohles Rocks Road | 0.3 | 153.019178935 | -27.290864041 | 10A | BRUCE HIGHWAY (BRISBANE - GYMPIE) | 0 | 1.9 | AGAINST GAZETTAL | 16 to 17 | 5255 | 5341 | 5327 | 5412 | 5848 | 5425 | 5450 | 5423 | 5438 | 407 | North Coast | 307 | North Coast |
| 111577 | Sawpit Gully - Bruce Highway | 78.94 | 145.743840008 | -16.9763000418 | 10P | BRUCE HIGHWAY (INNISFAIL - CAIRNS) | null | null | AGAINST GAZETTAL | 16 to 17 | 2272 | 2507 | 2437 | 2413 | 2188 | 1144 | 1030 | 2363 | 1087 | 403 | Far North | 315 | North Queensland |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/qld-traffic-by-hour-and-day/latest/data.json
{
"site_id": 10007,
"description": "900m west of Marble Arch Pl",
"site_distance": 2.13,
"longitude": 153.345772088796,
"latitude": -27.9201083012759,
"road_section_id": "11A",
"road_name": "GOLD COAST HIGHWAY (HELENSVALE - SOUTHPORT)",
"tdist_start": 0.0,
"tdist_end": 3.93,
"gazettal_direction": "AGAINST GAZETTAL",
"hour": "0 to 1",
"mon": 74,
"tue": 78,
"wed": 79,
"thu": 100,
"fri": 100,
"sat": 133,
"sun": 156,
"weekday_average": 85,
"weekend_average": 145,
"district": 410,
"district_name": "South Coast",
"region": 310,
"region_name": "South Coast"
}
Query it without downloading
The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.
How filters work
Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.
| Operator | What it matches |
|---|---|
| eq.value | Equal to the value. |
| neq.value | Not equal to the value. A blank cell does not match. |
| gt.value | Greater than the value. |
| gte.value | Greater than or equal to the value. |
| lt.value | Less than the value. |
| lte.value | Less than or equal to the value. |
| like.*text* | Matches a pattern where * stands for any run of characters. Case-sensitive. |
| ilike.*text* | The same as like, ignoring case. |
| in.(a,b,c) | Equal to any value in the list. A value cannot contain a comma. |
| is.null | Blank in the source, or suppressed by the publisher. |
| Parameter | What it does |
|---|---|
| select | Fields to return, comma-separated. Every field when absent. |
| order | field.asc or field.desc, comma-separated. The publisher's row order when absent. |
| limit | Rows per page, 1 to 10,000. 100 when absent. |
| offset | Rows to skip. The next URL in each answer sets it for you. |
| group | On aggregate, fields to group by, comma-separated. |
| metric | On aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent. |
| format | json, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers. |
Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.
The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.
https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.
Smaller files
The same rows split by a field, one JSON file each with a GeoJSON beside it. Each file carries the same provenance header.
By region_name (6 files)
by/region_name/index.json lists every file with its row count.
What changed
One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.
- 2026-06-03 84,032 rows24 fieldsxlsx5ebe8cbcfff8
versions.json · changes.json · history.tar.zst (1.2 MB, every version's Parquet and manifest)
Questions
How do I download Traffic by hour of day and day of week, Queensland as a CSV file?
Open https://publicdata.au/d/qld-traffic-by-hour-and-day/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-traffic-by-hour-and-day/v/2026-06-03/data.csv today. The same path serves Excel, JSON, GeoJSON, Parquet, SQLite, DuckDB, GeoPackage, GeoParquet, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.
Can I open Traffic by hour of day and day of week, Queensland in Excel?
Yes. https://publicdata.au/d/qld-traffic-by-hour-and-day/v/2026-06-03/data.xlsx is a workbook with the 84,032 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/qld-traffic-by-hour-and-day/v/2026-06-03/data.csv.gz is the CSV at about a tenth of the size.
What years does Traffic by hour of day and day of week, Queensland cover?
The current version covers the years since 2025. Each release from Transport and Main Roads becomes a new dated version here, and earlier versions stay online.
How often is Traffic by hour of day and day of week, Queensland updated?
Transport and Main Roads releases it annually. This site checks the portal every week and adds a dated version when the file changes.
Can I use Traffic by hour of day and day of week, Queensland commercially?
Yes. CC BY 4.0 allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.
Is this the official source for Traffic by hour of day and day of week, Queensland?
No. The publisher is Department of Transport and Main Roads, and its page is https://www.data.qld.gov.au/dataset/queensland-traffic-data-averaged-by-hour-of-day-and-day-of-week. This site republishes the publisher's file without changing its content. The original sits beside every version as source.xlsx with its SHA-256, so the two can be compared.
How do I get only the rows for one region name?
Every version has one JSON file per value of region_name, 6 files in the current version, listed with row counts at https://publicdata.au/d/qld-traffic-by-hour-and-day/v/2026-06-03/by/region_name/index.json. For example https://publicdata.au/d/qld-traffic-by-hour-and-day/v/2026-06-03/by/region_name/southern-queensland.json holds the 26,112 rows where region_name is Southern Queensland. A GeoJSON file sits beside each one.
What coordinate system does Traffic by hour of day and day of week, Queensland use?
The publisher gives longitude and latitude in decimal degrees on the WGS datum (EPSG:4326). They are published as given. The GeoJSON file uses the same coordinates, which is what GeoJSON expects.
What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.xlsx so the change can be checked.
Traffic volumes on Queensland state-controlled roads is 2 tables here, and each takes its version date from its own file.