Analysis and simulation of passenger flow model of elevator group control system

Author

Fu, Lijun ; Hao, Tiegang

Author_Institution

Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China

fYear

2012

fDate

29-31 May 2012

Firstpage

2353

Lastpage

2356

Abstract

This paper proposes a method to analyze and simulate passenger flow model in elevator group control system (EGCS). Although stochastic passenger arrival process in EGCS is about to belong to Poisson process, the data we got are not perfect. We can obtain several standard passenger flow models by Monte-Carlo sampling, and we simulate this with MATLAB. Simulation experiments show that the design method of passenger flow is quite effective and it meets the demands of EGCS for passenger flow data. Moreover, it offers foundation for next step research of EGCS.

Keywords

Monte Carlo methods; lifts; scheduling; stochastic processes; EGCS; MATLAB; Monte-Carlo sampling; Poisson process; elevator group control system; elevator group scheduling algorithm; elevator management; passenger flow model analysis; passenger flow model simulation; passenger transport; stochastic passenger arrival process; Analytical models; Control systems; Educational institutions; Elevators; Floors; Mathematical model; MATLAB; Monte-Carlo sampling; elevator group control system; passenger flow model;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Conference_Location

Sichuan

Print_ISBN

978-1-4673-0025-4

Type

conf

DOI

10.1109/FSKD.2012.6234182

Filename

6234182