Static zoning division elevator traffic simulation using agent-based modeling

• Main Authors: Batosalem, Angelika C., Gaba, Janelle Marie B., Ngo, Jan Bertel O., Ticug, Jonal Ray G., Ngo, Courtney Anne M.
• Format: text
• Published: Animo Repository 2019
• Subjects: Elevators—Computer simulation; Intelligent agents (Computer software); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/4440
• Institution: De La Salle University

Elevator traffic affects people who use elevators in high-rise buildings. This occurs due to elevators operating to cater passengers above its intended capacity. The next set of passengers still needs to wait approximately four minutes before they are serviced even if the elevators implement a static zoning division to reduce waiting time during peak hours. Hence, there is a need to optimize current systems. And to better understand how the system works along with its pitfalls, the environment will be simulated using agent-based modeling. The simulation will be modeled and fitted using data gathered from ID scans and CCTV footages. Through simulation, it would be possible to visualize the behavior inside the building and minimize elevator traffic. Removing the elevator service going down optimized the current system and reduced the round trip time of the elevators and waiting time of the passengers on high-rise buildings that use static zoning division. © 2019 IEEE.