When AI takes a vacation

Crowded museums, seaside resorts full to bursting, difficulties in parking, the holidays offer the opportunity to note that the logistics of flows involves major challenges during the summer.

In order to respond to this, there are now solutions capable of providing real support to the managers of infrastructures and tourist sites. These solutions are real assets for better understanding the problems inherent in holiday periods in order to resolve them in the long term.

In this respect, artificial intelligence (AI) is an increasingly adopted solution that finds concrete applications at all stages of our holidays: booking accommodation, managing transport, securing high-traffic sites, informing holidaymakers on tourist sites, AI-guided tours, etc.

Among the various disciplines of artificial intelligence, video analysis is particularly relevant for the management of flows of travelers converging on tourist sites. The cameras of towns, roads and transport infrastructures are indeed essential mines of information that video analysis solutions can exploit to overcome the many inconveniences associated with going on vacation. Thanks to video analysis, it is for example possible to avoid extreme congestion by regulating the flow of travelers in real time by automating certain actions such as the proposal of alternative routes for motorists or the information passengers on the rail networks in order to enable them to anticipate certain difficulties. Analyzing traffic in real time also makes it possible to detect risky situations – for example broken down vehicles on road networks – in order to deploy the necessary resources as quickly as possible and thus avoid additional accidents or additional congestion.

The journeys are however not the only moments of the holidays during which the AI ​​can accompany you to alleviate certain inconveniences. The examples of AI applications are numerous, whatever the stages of your journey.

Video analysis thus makes it possible to better manage parking, a complex aspect for local authorities to manage during the summer period. For example, it is possible to detect the spaces available in the car parks of a tourist location and thus inform motorists of the situation in real time, or even guide them to free spaces.

The AI ​​solutions used to count the flows of different types of mobility in the seaside resorts are also used from one year to the next to better understand the levels of affluence and thus better size the various facilities.

Last example during the high season, AI solutions allow managers of tourist sites to anticipate peaks in attendance and thus proactively adapt the size of their teams dedicated to welcoming travelers.

The holiday prism allows us to see – through a few examples – how AI is developing on various applications and can thus contribute to improving everyone’s comfort. Its large-scale adoption is still relatively recent, but the first positive effects augur well for the deployment of numerous public utility initiatives, thus improving everyone’s living comfort.

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