Effective attractive and repulsive interactions behind lift synchronization

TL;DR

This study uncovers the combined attractive and repulsive interactions that cause lift synchronization, using a rule-based model to analyze and control their dynamics for better transportation efficiency.

Contribution

It introduces a quantitative analysis of lift interactions, revealing the balance of attraction and repulsion, and demonstrates how to tune these interactions to control lift synchronization.

Findings

Effective interactions include both attraction and repulsion.

Parameter tuning can switch lift synchronization modes.

The approach can be applied to real lift data for system control.

Abstract

Synchronization is a ubiquitous phenomenon in nonequilibrium systems. One intriguing example found in every-day life is lifts installed next to each other, that move closely and arrive almost simultaneously during a busy time. However, the basic mechanism behind this lift synchronization is yet to be elucidated. Here, we investigate the effective interaction acting between the lifts quantitatively. Through the analysis on the time-series data obtained by numerically solving a rule-based discrete model of lifts, in which passengers at each floor show up stochastically and call a lift that is expected to arrive first, we find that the effective interaction acting between the lifts consists of not only attraction but also repulsion. By changing the parameters of the rule-based model, we are successful to tune the ratio of these competing interactions and to control the dynamics of lifts, realising the transition between in-phase and anti-phase synchronizations. Our strategy is applicable to the data of real lifts, and thus it is expected to help controlling lift systems. We believe that this study provides a novel approach to design optimal transportation, which is of great importance in improving sustainability of social systems.