An artificial intelligence system that uses machine learning to predict passenger demand and optimise elevator assignment in real time.
Full Definition
AI-based elevator dispatch uses machine learning algorithms—particularly reinforcement learning and pattern recognition—to optimise how elevator cars are assigned to hall calls and destination calls. Unlike rule-based group control, AI dispatch learns building-specific traffic patterns over time, distinguishing morning peak, lunch peak, evening peak, and off-peak demand. It can predict which floors will need cars within the next 60 seconds and pre-position cars accordingly, reducing average waiting time by 20–40% compared to conventional systems. AI dispatch is offered by major manufacturers (KONE MIDAS, Schindler PORT Intelligence, Otis CompassPlus) and is particularly effective in high-rise buildings with complex multi-tenant demand patterns.
