A predictive model and real-time monitoring of crowds in the destination through the use of surveillance cameras

Good practices

A predictive model and real-time monitoring of crowds in the destination through the use of surveillance cameras

Dubrovnik, one of the most attractive and most-visited destinations on the Dalmatian Coast, was receiving an overwhelming number of visitors each year, which was speeding up the wearing out of the infrastructure that ensured the sustainability of tourism resources. It therefore decided to develop measures to meet the daily tourist limits recommended by UNESCO, and surveillance cameras were installed to regulate the number of visitors who can be in the city's old town at any one time.

To implement the project, six cameras were placed at the entrances to the old town to monitor the number of visitors within the city walls. The data obtained is updated every 15 minutes and appears in the form of a traffic light system.

  • Red: when the number of visitors is over 8000.
  • Yellow: when the number of visitors is between 6000 and 8000.
  • Green: when the number of visitors is under 6000.

Monitoring the number of visitors allows local administrators and authorities to implement real-time measures.

  • When the status is red, traffic is diverted and entry is prohibited and/or limited.
  • When the status is yellow, entry to the old town is limited and/or restricted.
  • When the status is green, visitors may enter freely.

This information is available both for local administrators and authorities and for residents and tourists on the Dubrovnik Visitors website, which is connected to the cameras.

This initiative is not only capable of monitoring the number of people at a specific time; it also uses predictive models and automatic learning to determine the level of overcrowding due to visitors on a future date and make recommendations. To estimate the number of visitors, the algorithm uses several parameters, such as the number of people on cruise ships, the number of arrivals, the number of overnight stays and weather forecast data, among others.


Destination name : Dubrovnik (Croacia)
Impact on the SDGs : ODS 9
Type of technology used :
  • IoT (Internet de las cosas) / Wearables
  • Movilidad/Transporte
  • Seguridad/Blockchain/Control de aforos
  • Sistemas Analítica Datos (Big data/BI...)
Member of the Smart Tourist Destinations Network : No
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