Title
Simulation of three dimensional elevator system using cell-DEVS formalism
Abstract
Complex physical systems have been studied for many years using different approaches. Skyscraper building heights are restricted by the design limitations of their elevator systems. Long cable elevator systems will cause stretch because of their own weight. A newer technology is electromagnetic elevators that are able to travel in three dimensions and have no limitation on their height. M&S (Modeling and Simulation) methodologies and tools provide means for cost-effective validity analysis for designing complex physical and mechanical systems. Cell-DEVS is a formal methodology for cell-divided models based on DEVS (Discrete Event System Specifications) formalism. In this work, a cellular simulation model is used to model a three dimensional elevator system in a tall building with huge occupied area. The model defines appropriate rules for cells to control the elevators moving in different directions, while applying certain regulations to their movement to avoid collisions. Path finding and collision avoidance strategies are used to simulate an applicable system. We present the elevator model specifications, simulation design and discuss different simulation scenarios.
Year
DOI
Venue
2010
10.1145/1878537.1878700
SpringSim
Keywords
Field
DocType
cell-devs formalism,different simulation scenario,elevator model specification,different direction,dimensional elevator system,long cable elevator system,different approach,cellular simulation model,electromagnetic elevator,cell-divided model,elevator system,three dimensions,mechanical systems,modeling and simulation,simulation model,path finding,model specification,cellular automata,three dimensional,cost effectiveness
Cellular automaton,Simulation,Computer science,Modeling and simulation,Physical system,Control engineering,Collision,Real-time computing,DEVS,Elevator,Formalism (philosophy),Mechanical system
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Mohammad Moallemi1329.55
Ali Arya211020.31
Gabriel A. Wainer31584227.77