1001 Smart Cities
🚲 Mobility
🇭🇷 Dubrovnik

UNESCO Core Smart Parking Platform

Since a 2018 rollout of 1,900+ NB-IoT parking sensors feeding a real-time occupancy map, Dubrovnik added a 2025 ANPR-based access-control zone around the Old Town to curb UNESCO-flagged overtourism congestion; a 572-space Park 'n' Ride at Pobrežje is under construction, targeted for completion around 2028.

Live 📅 since 2018

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

🚲 MobilitySmart parkingPublic transportSensors & IoT
Scale🏙️ City-wide

📖 Terms in this entry: Adaptive traffic signals · Bus rapid transit (BRT) · CBTC (communications-based train control)

Sources

↗ Grad Dubrovnik (authority)City of Dubrovnik official site.
↗ Best in Parking (trade)Vendor announcement of the 2025 ANPR access-control zone around the Old Town.
↗ Croatia Week (press)Independent coverage of the Pobrežje Park & Ride construction start and EU funding.

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.

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Compare this project

🇦🇪 RTA Smart Parking: Sensor-Guided Vacant-Space Finder · Dubai Both NB-IoT parking pilots from the mid-2010s evolved further: Dubrovnik added ANPR access control in 2025, Dubai's sensors retired in 2023. 🇪🇸 ApparkB Regulated Parking Payment & Prediction · Barcelona Opposite parking bets: Dubrovnik still runs 1,900+ physical sensors since 2018; Barcelona's ApparkB predicts space from payment data alone. 🇩🇪 ACUP Smart Parking Sensors · Aachen Related through Smart parking.

Explore the wider context

🚦 Asphalt or algorithms🅿️ Smart parking guide🏙️ Dubrovnik city profile🚲 Mobility projects
📎 Cite this project

1001 Smart Cities (2026). “UNESCO Core Smart Parking Platform” — Dubrovnik, Croatia. The Smart City Atlas. https://1001smartcities.org/projects/dubrovnik-smart-parking/ (last verified 2026-08-02). Data: CC BY 4.0.

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

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