In-Ground On-Street Parking Sensor Network

🤖 AI-generated summary · 🔎 Last verified

This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

How this atlas is made · What “last verified” means · What “source-checked” means

Most first-generation municipal parking-sensor networks were dug out again. Melbourne's went in under roughly 5,300 bays in 2011, and over 4,600 sensors still feed the city's open data portal.

Evidence🏛️ Official
what does this mean?The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →
Scale🏘️ District

Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 9 more in Melbourne · 🅿️ Smart parking guide · 🚲 Mobility projects

The City of Melbourne buried in-ground sensors under roughly 5,300 CBD, Southbank and inner-city parking bays starting in 2011, publishing real-time bay occupancy as open data. Unlike many first-generation municipal sensor rollouts, it is still running: over 4,600 sensors currently feed the city's open data portal and third-party apps.

Live 📅 since 2011

📊 Impact

Council reported better time-limit compliance, fewer fines and faster bay turnover shortly after the 2011 rollout — a self-reported claim from a council spokesperson, not an independently audited evaluation.

🎓 Lesson

A 2011-vintage municipal parking-sensor network that avoided the fate of most first-generation peers (SFpark, Wellington SmartPark): rather than being decommissioned, its real-time feed still powers the city's open data portal and third-party apps over a decade later.

Sources

↗ City of Melbourne Open Data Portal — On-street Parking Bay Sensorsoperator dataset, confirms current sensor count and real-time updates
↗ IoT Hub — Smart councils sense parking spaces2011-era trade press, sensor count and council self-reported outcomes
↗ Victorian Government Data Directory — On-street Car Parking Sensor Data 2011confirms 2011 launch year via earliest published dataset
↗ Springer/Transportation — Melbourne's parking dynamics and traffic flow dataset paperindependent peer-reviewed use of the sensor dataset, confirms scale
↗ ParkThere app listing (Google Play)current third-party app consuming live sensor feed, evidence network is still active
📎 Cite this project

1001 Smart Cities (2026). “In-Ground On-Street Parking Sensor Network” — Melbourne, Australia. The Smart City Atlas. https://1001smartcities.org/projects/melbourne-parking-sensors/ (last verified 2026-08-01). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

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