Freight exposure is concentrated
Selected industrial arterials in Melbourne’s West carry unusually high and persistent heavy-vehicle exposure.
The case in 60 seconds
What the evidence shows—and what government must answer
A concise briefing for elected representatives, candidates, advisers, freight stakeholders and journalists.
Dohertys Road leads the ranking
Loading the verified corridor and overnight results…
Is infrastructure investment proportionate?
Road renewal, lighting, maintenance and safety investment should be tested against measured freight exposure.
Join exposure to asset evidence
Match these rankings to pavement condition, maintenance history, lighting assets, crash records and expenditure.
Evidence brief
Executive overview
A transparent summary of the verified findings, their limits and the evidence still required for infrastructure claims.
Loading verified report data…
This template is ready to receive a concise evidence-based account of where heavy-vehicle activity is concentrated, how freight patterns change after dark, and whether Western Melbourne carries a disproportionate share of the monitored freight task.
Scope boundary: TIRTL measures classified traffic and freight exposure. Claims about pavement condition, lighting adequacy, maintenance backlog or expenditure require separate asset-condition and investment data.
Headline measures
Headline measures calculated from the verified reporting extract.
Three evidence pillars
The report separates measured traffic exposure from conclusions that require additional road-asset evidence.
1
Freight exposure
Rank reviewed western roads by truck volume, truck share, coverage-adjusted intensity and overnight freight concentration.
2
Day and night patterns
Measure the proportion of freight occurring overnight and the share of all overnight traffic represented by trucks.
3
Regional disparity
Compare West, South-East, North and East using both total activity and coverage-adjusted intensity measures.
Pillar 1
Heavy-vehicle exposure
Highest monitored truck volumes and truck shares, with a dedicated secondary-arterial lens.
Highest truck-volume monitored locations
Individual site-headings are ranked to avoid inflating long corridors with many sequential sensors.
Source: Melbourne TIRTL classified vehicle data. Individual site-headings are shown to avoid inflating long corridors with multiple sequential sensors.
Western non-freeway corridors by truck share
Truck movements as a percentage of classified movements on reviewed community-facing roads.
Source: Melbourne TIRTL classified vehicle data. Regional and road classifications are reviewed analytical groupings.
Where the highest truck-volume monitoring locations are
The chart ranks individual directional headings. This companion map shows the same top locations geographically, without implying that surrounding suburbs are completely monitored.
One mapped circle represents one directional TIRTL monitoring heading. Truck totals are classified sensor passings, not unique trucks.
| Rank | Road / corridor | Region | Road class | Truck movements | Truck share | Overnight share | Exposure score | Evidence note |
|---|
Source: Melbourne TIRTL classified vehicle data for the reporting period shown above. Movements are sensor passings, not unique vehicles. Coverage varies by location.
Heavy-Vehicle Exposure Score: a comparative score comprising 40% trucks per monitored heading-day, 35% truck share of all classified movements and 25% trucks as a share of overnight traffic.
- The score measures freight exposure, not pavement damage or road quality.
- It should be joined to condition, maintenance and expenditure records before drawing infrastructure-performance conclusions.
Pillar 2
Day, evening and overnight freight
Two distinct measures are retained: the share of a corridor’s trucks occurring overnight, and trucks as a share of all overnight traffic.
Truck movements by time period
Default bands: day 06:00–18:00, evening 18:00–22:00, overnight 22:00–06:00.
Source: 15-minute TIRTL intervals. Day 06:00–17:59; evening 18:00–21:59; overnight 22:00–05:59.
Overnight truck concentration
Highest truck share within the overnight period.
Source: 15-minute TIRTL intervals. The metric is trucks divided by all classified overnight traffic.
Where overnight truck concentration is highest
Each point is placed at the strongest representative monitored heading for the ranked corridor. The percentage is the corridor result shown in the overnight ranking.
The map location is a representative monitored heading for each corridor. It is not the corridor’s full road geometry, and blank roads are not measured zeroes.
| Rank | Corridor / site | Region | Night trucks | Night share of corridor trucks | Trucks as share of night traffic | Peak night interval | Weekday / weekend note |
|---|
Source: Melbourne TIRTL 15-minute classified vehicle data. Overnight is 22:00–05:59.
What happens on a typical monitored night?
Explore valid-night averages, medians, weekday and weekend patterns, daily variation, weekly and monthly change, overnight hours, directional differences and unusually busy nights.
Loading daily, weekly, monthly and hourly night-freight evidence…
Night-by-night truck passings
Grouped monitored-location passings on valid corridor nights, with a seven-calendar-day rolling average.
Average and median by night beginning
Friday night means Friday 22:00 through Saturday 05:59.
Weekly average per valid night
Complete weeks require at least five valid corridor nights. A four-week moving average is retained.
Monthly typical-night trend
Average grouped passings per valid night, split into weekday and weekend nights. Partial months are disclosed.
Average trucks through the overnight period
Eight one-hour bands from 22:00 to 05:59.
15-minute day-of-week heatmap
Darker cells indicate a higher average number of grouped monitored-location truck passings.
Directional monitoring headings
Shows which directions and sites contribute to the grouped corridor result.
Unusually busy monitored nights
Highest valid corridor nights relative to the corridor median.
Night summary CSV
Daily CSV
Weekly CSV
Monthly CSV
Day-of-week CSV
Hourly CSV
15-minute heatmap CSV
Directional CSV
Critical interpretation: a night runs from 22:00 on the displayed date through 05:59 the next morning. A directional heading-night normally contains 32 fifteen-minute intervals and must meet the published validity threshold. Corridor-night totals sum monitored headings assigned to that reviewed corridor; sequential sensors may observe the same vehicle. These are sensor passings, not unique trucks or complete corridor journeys.
Publication-ready visual evidence
Night freight in graphs
A curated set of defensible visuals showing the scale, persistence, timing and direction of overnight freight on monitored western roads.
From sensor records to a public-policy briefing
These graphs use valid-night and directional-heading rules to prevent roads with more sequential sensors from automatically appearing more exposed. They are designed to answer the questions politicians, advisers, communities and journalists are most likely to ask.
Headline briefing graphs
Start here for the clearest road-to-road and time-pattern evidence.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Primary comparison
Comparable overnight freight on community-facing roads
This is the fairest headline road-to-road comparison. It shows average classified truck passings per valid directional heading-night, preventing roads with more sequential sensors from automatically appearing busier.
What it communicates: It communicates where an ordinary monitored direction experiences the greatest recurring overnight freight exposure. Dohertys Road is the clearest high-exposure road in the reviewed western sample.
Interpretation: One value represents an average monitored direction, not unique trucks travelling the whole corridor.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Working-week pattern
Weekday-night versus weekend-night freight
This compares average overnight truck passings on working-week nights with weekend nights using a per-heading measure.
What it communicates: It reveals whether freight pressure is a routine feature of the working week and how sharply it falls on weekends—important for residential amenity, noise, lighting and maintenance discussions.
Interpretation: Monday night means Monday 22:00 through Tuesday 05:59.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Absolute monthly scale
Monthly average freight per monitored heading
This displays the actual average overnight truck passings per valid directional heading-night in each month for comparable community-facing roads.
What it communicates: It shows both the scale of the burden and whether a road was busier or quieter in particular months. It is the preferred monthly graph when discussing actual monitored activity rather than percentage change.
Interpretation: Partial months and periods without sufficient monitoring must be read as disclosed on the graph.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Relative monthly movement
How each road changed from its own baseline
Each eligible road begins at an index of 100, allowing roads with different traffic volumes to be compared by relative movement over time.
What it communicates: It helps identify whether several corridors rose or fell together, and whether a change is isolated to one road. Low-volume roads are excluded to prevent small absolute changes from producing misleading percentages.
Interpretation: An index shows relative change, not the absolute number of truck passings.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Persistence
How often heavy overnight freight occurred
This measures the percentage of valid nights on which the average active directional heading exceeded defined freight thresholds.
What it communicates: It distinguishes a persistent freight burden from a high average caused by only a few extreme nights. A high percentage means elevated freight was routine across the reporting period.
Interpretation: Thresholds apply to active valid directional headings, not combined multi-sensor corridor totals.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Typical to extreme
What a typical, busy and very busy night looked like
Median, 75th-, 90th- and 95th-percentile results show the distribution of monitored overnight freight rather than relying on a single average or maximum.
What it communicates: It communicates the normal burden and how much pressure rises on unusually busy nights. The labelled median and 95th percentile make the ordinary-versus-extreme difference immediately visible.
Interpretation: Percentiles describe valid monitored nights and are not unique-vehicle counts.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Human-scale interpretation
Average frequency of recorded overnight truck passings
This translates average passings at one valid directional heading into the approximate number of minutes per recorded truck passing across the eight-hour night.
What it communicates: It gives politicians and residents an intuitive sense of freight intensity. A shorter interval means trucks were recorded more frequently at the monitored direction.
Interpretation: This is an eight-hour average—not the literal uninterrupted gap between every pair of trucks.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Absolute pattern matrix
Monthly freight intensity across community roads
The matrix compares actual monthly average passings per valid heading-night across several roads at once.
What it communicates: It makes the overall hierarchy and month-to-month changes easy to scan. Darker or stronger cells identify higher absolute freight exposure.
Interpretation: Grey or blank cells mean no qualifying result—not zero freight activity.
This graph image could not be loaded. Generate or republish the Version 12.3 dark graph pack.
Within-road change matrix
Which months were unusually high or low for each road
Each road is compared with its own reporting-period monthly average, so the matrix highlights unusual months without allowing higher-volume roads to dominate the colour scale.
What it communicates: It is useful for spotting shared network-wide changes, isolated corridor shifts and months that warrant investigation against disruptions, works or freight activity.
Interpretation: Low-volume roads are excluded from indexed comparisons to avoid exaggerated percentage movements.
Road-level night freight explorer
Select a road and switch between six publication-ready views.
This road graph could not be loaded. Check that the Version 12.3 dark graph pack is published.
Which nights of the week carry the most freight?
This graph compares average and median truck passings for nights beginning Monday through Sunday. It reveals the recurring working-week pattern and the scale of the weekend reduction.
Policy relevance: Use it to identify whether overnight freight is a routine weekday burden and which nights should be prioritised for lighting, noise, safety or enforcement questions.
Interpretation: Friday night means Friday 22:00 through Saturday 05:59.
Why these graphs are suitable for publication: community-road comparisons use valid directional heading-nights; missing monitoring is displayed as gaps rather than interpolated; low-volume roads are excluded from indexed percentage-change graphs; and every visual retains the sensor-passing qualification. The complete technical gallery remains available for specialists.
Pillar 3
Regional freight disparity
The primary comparison uses reviewed non-freeway site-headings so dense freeway sensor coverage does not dominate the regional result.
Coverage caution: loading monitored-heading counts…
These figures compare monitored locations and are not a complete census of each region’s road network.
Boundary status: the regional comparison still uses the reviewed analytical “West” grouping. The map below can separately display and select installed official government boundaries for geographic reference.
Non-freeway regional truck share
Total truck movements divided by total classified movements across reviewed non-freeway monitoring locations.
Source: reviewed non-freeway monitored site-headings. This is a monitored-location comparison, not a complete road census.
Non-freeway trucks per heading-day
A coverage-adjusted intensity measure that reduces distortion from unequal monitoring duration.
Source: reviewed non-freeway monitored site-headings. The denominator is monitored heading-days.
| Region | Included monitored localities | Monitored headings | Coverage days | Truck movements | Weighted truck share | Median site truck share | Trucks / heading-day | Sites above 15% |
|---|
Source: reviewed non-freeway TIRTL site-headings. Monitored-heading and coverage-day counts are integral to interpretation.
Key findings
Validated findings from the published freight analysis.
TIRTL monitoring footprint and freight exposure map
Each circle is one monitored direction of travel. Use the freight metrics to compare qualifying monitored locations, and use the coverage tools to see where monitoring exists, where filters hide it and where the current release has no qualifying TIRTL evidence.
What this map can and cannot show
It can show
- Measured results at displayed TIRTL monitoring headings.
- Relative truck exposure among qualifying monitored locations.
- Truck share, overnight concentration and monitoring duration.
- Which displayed headings fall inside installed government boundaries.
It cannot establish
- Total truck activity across an entire suburb, electorate or council.
- Freight activity on roads without qualifying TIRTL monitoring.
- Unique truck counts, origins, destinations or pavement condition.
- That a blank or unmonitored area has little or no freight activity.
Government-area map: installed official boundaries can be switched on, selected and highlighted. Area summaries describe only qualifying TIRTL monitoring headings located inside the polygon.
Qualifying physical sites—
Directional headings—
Reporting period—
ScopeCurrent report release
Loading Google Maps and freight data…
Loading monitoring footprint…
Briefing: priority road 1 of 5
Government areas
Turn on a layer, then click any area to identify and highlight it.
Checking installed boundary files…
Government area
Area name
Compare selected western roads
| Road | Rank | Truck share | Overnight traffic truck share | Truck passings | Exposure score |
|---|
Road comparison uses reviewed corridor-level exposure results. Sequential monitoring sites are not treated as unique journeys.
Government-area monitoring coverage
Use this table to identify both monitored samples and evidence gaps. Click a row to select and zoom to that government area.
| Government area | Area type | Physical sites | Directional headings | Distinct monitored roads | Heading-days | Monitoring footprint |
|---|---|---|---|---|---|---|
| Boundary layers and monitoring data are loading… | ||||||
The footprint classification describes the amount of qualifying TIRTL evidence available inside the installed polygon. It is not the percentage of roads monitored and must not be interpreted as complete geographic coverage.
Region:
West
South-East
North
East
Inner / other
Circle size: loading metric scale…
Active freight result
Qualifying heading hidden by filters
One circle = one monitored direction of travel. A physical TIRTL site may produce two or more directional circles. Blank areas are not measured zeroes.
Independent evidence: this map identifies measured freight exposure. It does not itself establish road-condition failure, inadequate maintenance or endorsement of a candidate, party or policy.
Interactive map
The live report contains an interactive site-heading map. For printed copies, refer to the corridor rankings and downloadable map-layer data.
Map data: data/western_freight_map_layer.json.
From evidence to government action
The freight analysis identifies exposure. The next evidence joins determine whether infrastructure condition and investment are proportionate.
| Measured finding | What it may indicate | Evidence still required |
|---|---|---|
| Dohertys Road recorded the highest reviewed western non-freeway truck share. | Exceptional dependence on a community-facing industrial arterial. | Pavement-condition scores, resurfacing history, defect records and funded renewal works. |
| Trucks form a substantial share of overnight traffic on the highest-exposure corridors. | Potential night-time visibility, safety, noise and residential-amenity pressure. | Lighting audit, crash history, noise evidence and heavy-vehicle route-management records. |
| Western non-freeway monitored locations show concentrated freight exposure. | A case for testing whether maintenance and upgrade priorities reflect freight use. | Corridor-level maintenance, renewal and upgrade expenditure over a defined period. |
Interpretive statements are hypotheses for further testing, not findings of pavement failure or government neglect.
Questions for government
These questions convert the analytical findings into a clear accountability and evidence-gathering agenda.
- What are the latest pavement-condition scores for Dohertys Road, Fitzgerald Road, Grieve Parade and the western Princes Highway?
- When was each priority corridor last resurfaced or substantially renewed?
- How much maintenance and renewal expenditure has each corridor received over the reporting period and preceding five financial years?
- How is measured heavy-vehicle exposure weighted when road maintenance and renewal priorities are set?
- Are lighting and visibility standards adequate at the highest overnight freight locations?
- Which relevant upgrades are funded, planned, under investigation or currently unfunded?
Road condition and investment evidence gap
The freight data identifies where the greatest exposure exists; this section records what additional evidence is needed before making asset-condition claims.
Heavy-vehicle exposure
Truck volume, truck share, time-of-day patterns, overnight concentration and coverage-adjusted freight intensity.
Road asset condition
Pavement-condition scores, resurfacing dates, defect records, lighting inventory, crash history and maintenance interventions.
Investment proportionality
Compare exposure rankings with corridor-level maintenance, renewal and upgrade expenditure over a defined period.
Methodology and limitations
The analysis is designed to remain reproducible, transparent and resistant to selective quotation.
Analytical rules
- Use a frozen and explicitly dated reporting extract.
- Retain site-heading granularity until corridor aggregation is validated.
- Define trucks using the project’s documented TIRTL classification rule.
- Calculate weighted regional truck share from summed numerator and denominator values.
- Publish sensor counts, coverage days and excluded records beside comparisons.
- Separate measured findings from interpretation and policy recommendations.
Limitations to disclose
- TIRTL monitoring coverage is not spatially uniform across Melbourne.
- Sensor passings are not unique-vehicle counts.
- Raw movement totals can reflect reporting-period and sensor-availability differences.
- Truck exposure does not itself establish pavement condition or causation.
- Monitoring density, reporting duration and road classifications vary across locations.
- Regional boundaries and road classifications must be fixed before comparison.
TIRTL sourceTo be populated
Analysis scopeTIRTL-only release
Road hierarchyTo be populated
QA statusTemplate only