🚲 Mobility

In-Ground On-Street Parking Sensor Network

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 ◆ Source-checked

🤖 AI-generated summary of the sources below — how this works · 🔎 Last verified

📊 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.

Evidence🏛️ Official
Scale🏘️ District

📖 Terms in this entry: Open data · Urban data platform (UDP) · Adaptive traffic signals

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

This overview was generated with AI from the public sources listed above 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.

📎 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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