Abstract
With the increase in construction of tall buildings and skyscrapers, elevators have become even more important to transport passengers to and from the higher floors.
We have developed a high-performance system that has a fuzzy neural network model. This model reduces the passengers’ waiting time in various traffic situations. The fuzzy neural network consists of neural networks that perform the fuzzy rule-based approximate reasoning.
We also improved the control system by making it more efficient and reliable by adopting a decentralized control technology and 32-bit microcomputers.