Dynamic Dispatching of Elevators in Elevator Group Control System: Research and Survey
Malan D. Sale1, V. Chandra Prakash2
1Malan D. Sale, Research Scholar, Department of Computer Science & Engineering, KLEF Engineering College of University, Vaddeswaram (Andhra Pradesh), India.
2Dr. V. Chandra Prakash, Professor, Department of Computer Science & Engineering, KLEF Engineering College of University, Vaddeswaram (Andhra Pradesh), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 98-102 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2655028419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With an increase in the population and demand for elevators in high-rise buildings, there is a need for installing more number of elevators to transport passengers efficiently. In tall buildings, Elevator Group Control System (EGCS) is the system for managing vertical transportation facility. The paper presents a survey of different techniques used to schedule and dispatch elevators in EGCS. The research study focuses on the dynamic scheduling of elevators for all up and down landing calls that aims to overcome the limitations and weaknesses of the existing works. The main aim of the research work is to reduce the waiting time of passengers for a car call on a specific floor and save power consumption of the elevators or lifts. Fuzzy algorithms, neural network algorithms, and genetic algorithms are the primary methods used to dispatch elevators in the control system. The study compares experimental results generated by various methods.
Keyword: EGCS, Elevators, Up-Peak Traffic, Down-Peak Traffic.
Scope of the Article: Cyber-Physical Systems