Airport is no stranger to AI. Air traffic control uses systems based on artificial intelligence to better predict aircraft arrival and congestion. At Eindhoven Airport, a new artificial intelligence baggage handling system is being tested. Passengers only need to take photos of their baggage, check it in and pick it up at the destination - without labels. On the premise of meeting the privacy requirements, it hopes to do the same thing to people. All of these will help you take the flight faster.

However, none of these things have solved the main drivers of uncertainty in your flight travel - traffic and safety. However, changes in transportation have come. Waze and other navigation applications will consider traffic conditions and can reasonably estimate the time required to arrive at any airport according to the time of day. These applications are not perfect, but they are always getting better.

These applications let passengers no longer be subject to the rules that tell them how early they need to leave for the airport. Instead, they can add the flight time to their calendar, and then an application will tell them the best time to leave and arrange their time accordingly. Better yet, in the near future, the uncertainty of the actual flight departure time will be considered. The application will not only tell you when to leave based on the scheduled departure time, but will tell you when to leave based on the estimated actual departure time of the flight. Similarly, there is still uncertainty, but the leap from no information to more accurate information can save hours of waiting time. Similarly, many Uber passengers who previously thought they would not care about knowing the estimated arrival time of the taxi now think that this information is one of the most valuable functions of the service. Uber uses AI to make predictions. AI can also predict the waiting time of the security line. Put them together, you can use AI to decide when to leave for the airport instead of relying on rules. Like everything else, some people will seize this possibility before others. In Incheon and many other airports, waiting is no longer a bad thing, so maybe you don't need to make a wise decision. Some people will seize this possibility before others. In Incheon and many other airports, waiting is no longer a bad thing, so maybe you don't need to make a wise decision. Some people will seize this possibility before others. In Incheon and many other airports, waiting is no longer a bad thing, so maybe you don't need to make a wise decision.

Those who develop AI driven navigation applications or flight departure predictors have no direct interest in the revenue of terminal airport activities. However, the value of their AI application depends on how many people don't want to wait at the airport. Therefore, if the current waiting cost of the airport is low, the value of these applications will be reduced. Safety line prediction is another matter. The airport said that they wanted to improve safety time and reduce uncertainty. But as economists, we believe that their incentives are not consistent with those of passengers. Yes, improving safety time can allow more time to be spent on facilities after security check. But at the same time, it will reduce uncertainty and lead people to shorten airport arrival time.

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人工智能已经在重塑航空旅行，机场本身会是下一个吗？

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