A method for elevator call allocations in an elevator group of an elevator system includes applying statistical traffic forecasts modelling future passenger arrivals in the elevator system; receiving an indication of at least one elevator call; generating, for a fixed parameter, a set of scenarios based on the statistical traffic forecasts; determining a quality attribute for each candidate allocation policy of a set of candidate allocation policies by simulating, for each candidate allocation policy, the set of scenarios according to the candidate allocation policy in a current elevator call allocation situation in the elevator system; selecting a candidate allocation policy based on the quality attributes associated with the candidate allocation policies; and allocating the at least one elevator call to at least one elevator in the elevator group according to the selected candidate allocation policy.

A solution for estimating the number of persons entering or leaving an elevator car, wherein a stepwise change in passenger load is detected based on a passenger load signal relating to the elevator car, and the change in a passenger count is estimated based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.

A method of operating a building elevator system within a building having a plurality of floors including: controlling a building elevator system comprising a first elevator system having a first elevator car and a second elevator system having a second elevator car; determining one or more sectors for the plurality of floors in response to at least one of a time of day, manual input, a density of the down peak traffic, and whether there is simultaneous up peak or inter-floor traffic, the one or more sectors comprising a first sector having a first plurality of floors and a second sector having a second plurality of floors; assigning the first elevator car to the first sector; and assigning the second elevator car to the second sector.

A method of controlling an elevator system incudes collecting one or more frustration indicators of a passenger during usage of the elevator system by the passenger; collecting one or more frustration factors; correlating the one or more frustration factors to the one or more frustration indicators to generate one or more preferences for the passenger; generating a profile for the passenger in response to the correlating, the profile including the one or more preferences; and controlling operation of the elevator system in response to the one or more preferences to reduce frustration of the passenger during interaction with the elevator system.

To provide an elevator group management device that can accurately present information about learning of operational efficiency of an elevator. The elevator group management device includes a traffic-flow estimating unit configured to estimate a traffic flow based on boarding and alighting floors of users and a number of boarding and alighting people of an elevator, a learning unit configured to determine a policy of running of a car based on the traffic flow estimated by the traffic-flow estimating unit, a simulation unit configured to evaluate operational efficiency at the time when the car is virtually run based on the policy determined by the learning unit, and a display control unit configured to cause an information display device to display information indicating a status of learning by the learning unit and the simulation unit.

A method of operating a first elevator system including a first elevator car including detecting an individual using a sensor system of a first robot; and notifying a dispatcher of the first elevator system that the individual was detected.

A method of operating a building elevator system within a building having a plurality of floors including: controlling a building elevator system comprising a first elevator system having a first elevator car and a second elevator system having a second elevator car; determining one or more sectors for the plurality of floors in response to at least one of a time of day, manual input, a density of the down peak traffic, and whether there is simultaneous up peak or inter-floor traffic, the one or more sectors comprising a first sector having a first plurality of floors and a second sector having a second plurality of floors; assigning the first elevator car to the first sector; and assigning the second elevator car to the second sector.

The present invention provides a method of predictively maintaining an elevator driving unit which distinguishes between a condition when moving an elevator upward and a condition when moving the elevator downward, collects driving information of the driving unit (information on a change over time in current values) in a normal state, collects driving information of the driving unit before the occurrence of breakdown, sets critical levels based on the collected information, detects in real time an abnormal symptom of the driving unit by comparing the driving information of the driving unit, which is collected in real time, with the set critical level, and then performs stable predictive maintenance of the elevator driving unit, thereby efficiently preventing a safety accident of the elevator caused by a breakdown of the elevator driving unit.

A method for crowd prediction in an elevator system includes logging the number of calls across a period of time and generating a first time series for an average number of calls; collecting external influence data and generating a second time series for the external influence data; performing a cross-correlation test on the first and second time series; when a cross-correlation between the first and second time series is determined, performing a causality test on the first and second time series; and when a causal relationship between the first and second time series is determined, using the causal relationship to predict an expected number of calls in the elevator system.

An aspect includes capturing crowd data associated with a lobby area of an elevator system. A dispatching schedule of one or more elevator cars of the elevator system is adjusted based on the crowd data. A notification of the adjustment to the dispatching schedule is output.