Abstract
The paper considers the elevator group control problem which is actual in large premises where a group of co-ordinated cars is necessary to serve the transport of passengers. Efficient elevator control requires low passenger waiting and transport times, together with low energy consumption, under different traffic conditions. In the paper two algorithms based on fuzzy sets are proposed to perform this task. The first algorithm acts as a “soft switch” between two classical algorithms, each covering a specific traffic situation. The second algorithm is entirely based on fuzzy sets and is appropriate for all situations. The performance of the algorithms in tested case studies gave promising results so that the algorithms will be additionally tested, optimised and statistically evaluated in different case studies.
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