Abstract: A method for determining an allocation decision for at least one elevator includes using an existing calls in an elevator system as a first input in a machine learning module, processing the first input with the machine learning module to provide a first output comprising a first allocation decision, using the first output as a second input in an iterative module, processing the second input with the iterative module to provide a second ouput comprising a second allocation decision, and providing the second allocation decision to an elevator control module and to an allocation decision storage for further machine learning module training.

Abstract: Modern large buildings and public places are equipped with a plurality of elevators, exits and points of interest for fluent movement. The passenger flows in a building or public place can be traced and modelled by using statistics and information regarding current state of the modelled building or public place. The information derived from this model can be used for controlling elevators, escalators and similar in the building more efficiently. The same information may be used also for guiding passengers in the building or public place to use other transportation means so that the duration high traffic situation can be reduced or sometimes completely avoided.

Abstract: According to an aspect, there is provided a method and an apparatus for determining an allocation decision for at least one elevator. In the solution existing calls are used in an elevator system as a first input in a machine learning module. The first input is processed with the machine learning module to provide a first output comprising a first allocation decision. The first output is then used as a second input in an iterative module. The second input is processed with the iterative module to provide a second output comprising a second allocation decision. The second allocation decision is provided to an elevator control module and to an allocation decision storage for further machine learning module training.

Abstract: Modern large buildings and public places are equipped with a plurality of elevators, exits and points of interest for fluent movement. The passenger flows in a building or public place can be traced and modelled by using statistics and information regarding current state of the modelled building or public place. The information derived from this model can be used for controlling elevators, escalators and similar in the building more efficiently. The same information may be used also for guiding passengers in the building or public place to use other transportation means so that the duration high traffic situation can be reduced or sometimes completely avoided.