Synopsis

Now Boarding All Rows

Physics 5, s10
Using a simplified airplane seating arrangement, theorists have found that boarding time is less dependent on the number of passengers than one might expect.

The next time you are getting ready to board an airplane you might want to time how long it takes to get to your seat. Two Norwegian researchers, reporting in Physical Review E, have calculated how the average boarding time depends on the number of passengers. Their results call into question the practice of dividing passengers into groups that board separately.

For many airlines, passengers have specific seat assignments, which drastically increases the number of initial configurations modelers have to consider. Scientists have typically turned to computer simulations in order to study the dynamics of airplane boarding, but these analyses do not explicitly show how the parameters are related.

Vidar Frette of Stord/Haugesund College and Per Hemmer of the Norwegian University of Science and Technology have calculated the boarding time analytically in terms of the passenger count. Their simple model assumes that each row on the airplane has only one seat, and passengers file in randomly. When someone reaches his or her seat, everyone in the aisle behind has to wait while this passenger gets settled.

Naively, boarding time should vary linearly with the number of passengers, such that twice the passenger count should take twice the time. However, more passengers increases the chance that some people will fortuitously line up in a time-saving order. Frette and Hemmer’s calculations show that twice the passengers only takes 1.6 times longer. This suggests that letting, for example, rows 16 through 30 go before rows 1 through 15 may prolong boarding times. – Michael Schirber


Subject Areas

Nonlinear Dynamics

Related Articles

The Neuron vs the Synapse: Which One Is in the Driving Seat?
Complex Systems

The Neuron vs the Synapse: Which One Is in the Driving Seat?

A new theoretical framework for plastic neural networks predicts dynamical regimes where synapses rather than neurons primarily drive the network’s behavior, leading to an alternative candidate mechanism for working memory in the brain. Read More »

Nonreciprocal Frustration Meets Geometrical Frustration
Nonlinear Dynamics

Nonreciprocal Frustration Meets Geometrical Frustration

New theoretical work establishes an analogy between systems that are dynamically frustrated, such as glasses, and thermodynamic systems whose members have conflicting goals, such as predator–prey ecosystems. Read More »

Quasi-integrable Arrays: The Family Grows
Nonlinear Dynamics

Quasi-integrable Arrays: The Family Grows

A new approach to solving arrays of two-dimensional differential equations may allow researchers to go beyond the one-dimensional oscillator paradigm. Read More »

More Articles