ISSN : 1796-203X
Volume : 4    Issue : 1    Date : January 2009

Dynamic Partition of Elevator Group Control System with Destination Floor Guidance in Up-peak Traffic
Suying Yang, Jianzhe Tai, and Cheng Shao
Page(s): 45-52
Full Text:
PDF (173 KB)

This paper presents a new modeling of elevator group intelligent scheduling system with destination floor
guidance. The traditional input mode of separate hall call registration and the destination selection is
improved to a single-input mode. On this basis, dynamic partition method in up-peak traffic is studied.
This method means dynamically adjust division of floor region based on flow rate and distribution of
passenger. Dynamic programming algorithm is used to solve this problem. Through regroupment and
classification for ensemble of hall call communication, prediction of multi-objective evaluation items is
proposed. Fuzzy Neural Network is constructed and applied further to realize the optimal scheduling
policy. Simulated results show that the presented elevator model is effective and the optimized scheduling
algorithm has advantaged improvement for overall performance of elevator system.

Index Terms
elevator group control system, destination floor guidance, dynamic programming, dynamic partition,
up-peak traffic