Title: The simulation of elevator traffic flow based on VC++

Authors: Renyu Luo; Qingsheng Guo; Huali Wang; Jianfeng Zhong; Tianming Yu; Xueliang Wang; Renkai Luo

Addresses: Shandong Drug and Food Vocational College, High-tech Industrial Development Zone, No. 1510, HexingRoad, Weihai, China ' Weihai Vocational Secondary School, Shijia Avenue Education and Research Park, Binhai New City, Weihai, China ' Shandong Drug and Food Vocational College, High-tech Industrial Development Zone, No. 1510, HexingRoad, Weihai, China ' Shandong Drug and Food Vocational College, High-tech Industrial Development Zone, No. 1510, HexingRoad, Weihai, China ' Shandong Drug and Food Vocational College, High-tech Industrial Development Zone, No. 1510, HexingRoad, Weihai, China ' Shandong Drug and Food Vocational College, High-tech Industrial Development Zone, No. 1510, HexingRoad, Weihai, China ' Shenyang University of Chemical Technology, Shenyang Economic and Technological Development Zone, 11th Street, Shenyang, China

Abstract: Elevators have become an indispensable tool for people. If each program is used in practice, it will waste a lot of human resources, material resources and financial resources, so the elevator simulation platform has played its advantages. Among them, the generation of traffic flow is the key factor. In order to realise the reasonable configuration of the elevator, it is necessary to accurately simulate the traffic flow in each period of the building, and the MATLAB program is calling by VC++ to complete the simulation. Through this method, the traffic flow at different times can be simulated by simple operation, and this method can fully play the advantages of the respective programs.

Keywords: elevator traffic flow; VC++; MATLAB; simulation; traffic pattern; elevator; starting floors; destination floors; Poisson distribution; up peak traffic mode.

DOI: 10.1504/IJISE.2020.110276

International Journal of Industrial and Systems Engineering, 2020 Vol.36 No.2, pp.212 - 224

Received: 05 Jan 2019
Accepted: 17 May 2019

Published online: 24 Sep 2020 *

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