Abstract:
In parallel with the increase seen in the number of
high-rise buildings, vertical transport systems are progressing.
One of the results of this progress is the emergence of group
elevator systems and their primary aim is to transport its
passengers to the target floor the fastest way possible. Studies on
this field are generally simulation and optimization based and
they have an aim of minimizing the passengers’ waiting and
traveling periods. In this study, a real time group elevator
experimental setup was created and an optimization algorithm
was applied on the setup. Genetic algorithm was chosen as
optimization algorithm and this method was tested in an elevator
prototype of 10 floors and 5 cabins. The results obtained revealed
efficiency, performance and accuracy of proposed method.
