Slow forward is the fastest way for the passengers in the plane

Specialists constantly improve the processes that occur around us. For example, looking for innovative methods of forecasting road traffic and to combat congestion.

However, traffic congestion can create not only machines but also people. For example, when boarding a plane.

meanwhile, flight delays lead to additional airline costs and dissatisfaction of the passengers.

a New study by scientists showed that in case of slow travelers, for example, people with children or requiring extra help, will be landing first, it will reduce the time from the beginning of the landing to taking off of the liner by as much as 28%.

But let’s start from afar. Physicist Jason Steffen (Jason Steffen) University of Nevada, Las Vegas tried to optimize the boarding process of passengers on Board the aircraft, using the principle of solving the travelling salesman problem. The first “step” was taken back in 2011. The scientist was expecting that the most effective way to start Seating people from the back of the plane. However, the best results are shown by method, later known as the “Steffen Method”. His principle was that the passengers have to be seated in their seats simultaneously and in an undulating manner.

“Passengers who walk down the aisle must sit within two rows from each other, explained Steffen edition of the Conversation in 2014. The first wave of passengers would be [to be on the ground] in the following order: 30A, 28A, 26A, 24A, and so on, starting with the tail [of the plane]”.

testing the “Steffen Method” showed that it worked more effective than others. Compared to the uncontrolled or random seated people it is more efficient to 20-30%, as compared to landing from the tail to the front part of the liner he took half of the time.

the New method is slightly different from the last and based on the principles of metrics of Lorentz – mathematical basis of the General theory of relativity.

co-author of the work Sveinung Erland (Sveinung Erland) from the University of applied Sciences of Western Norway and his colleagues from Latvia and Israel used the well-known relationship between the microscopic dynamics of interacting particles and macroscopic properties and apply it to the planting process. In this case, the interacting microscopic particles that the passengers standing in the aisle waiting to be landing, and the macroscopic property is the amount of time it takes people to load Luggage on the top shelf and settle into their designated places.

Creating appropriate models, the scientists studied the speed of Seating passengers according to their number and place and also from time to time, which disappears between the rows. It turned out that the biggest interference and time delays resulted in a situation in which the passengers were seated far from each other, while in the queue in the aisle next.

by Changing various process parameters, the experts eventually came to the conclusion that boarding time is reduced by 28% when slow passengers take their seats first. Explain that the slow passengers were those who can take their places at the same time, which is required for landing three or four quick people.

Steffen explains that contradicts our experience of life, the result on the example vessel to be filled with sand and stones. If the sand (similar to fast passengers) to fill first, and the stones (similar to the slow people) put in a vessel last, the room is not enough (in the case of plane time). If initially to put the stones and then backfill the sand, it will easily seep between the stones, and the vessel is filled more efficiently.

“If you’re going to put a group of passengers on the ship, then divide them into slow and fast people. Then first you need to remove the slow people off the road, and then allow to seep to the rapid passengers,” concludes Steffen.

we will Remind that earlier “News.Science” ( talking about how scientists definehave elali factors that affect the behavior of pedestrians in a narrow space, as Russian specialists have taught artificial intelligence to determine the mood of the crowd, as well as engineers from Stanford to teach robots not to prevent to move in a crowd of people-pedestrians.

Text: To.Science