Elevator System Design AI
AI optimization of vertical transportation systems in buildings.
Definition
Elevator System Design AI optimizes the selection and configuration of elevators, escalators, and other vertical transportation. It analyzes population, traffic patterns, and building use to specify systems that provide adequate service while minimizing wait times and energy consumption.
In Depth
Elevator design requires traffic analysis to determine the number of elevators, their speed, and their capacity needed to serve the building population without excessive wait times. AI performs this analysis by simulating passenger traffic patterns throughout the day and evaluating different elevator configurations.
The traffic simulation models morning up-peak (everyone arriving), lunchtime interfloor travel, and evening down-peak (everyone leaving), plus the random interfloor traffic that occurs throughout the day. AI evaluates different configurations — number of elevators, speed, capacity, and group control strategy — against a target average wait time (typically 25-30 seconds for office buildings) and interval (the time between elevator arrivals at the ground floor).
Examples
Analyzing elevator traffic
Sizing elevator systems
Optimizing wait times
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Elevator System Design AI optimizes the selection and configuration of elevators, escalators, and other vertical transportation. It analyzes population, traffic patterns, and building use to specify systems that provide adequate service while minimizing wait times and energy consumption.
Analyzing elevator traffic. Sizing elevator systems. Optimizing wait times.
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