Apparatuses, methods and computer programs for elevator call allocation with adaptive multi-objective optimization are disclosed. At least some of the disclosed embodiments may allow adaptively and smoothly changing an objective function according to passenger traffic. This in turn may allow minimizing waiting times in all traffic situations compared to using a fixed objective function. Furthermore, at least some of the disclosed embodiments may allow adaptively and smoothly changing the objective function according to the traffic while taking user preferences into consideration via a single transit time target parameter.

An information processing apparatus includes a controller configured to predict a state of congestion of an elevator installed in a building and generate, based on the predicted state of congestion, a proposal message to propose a departure time for the building to a user planning to travel to the building.

An illustrative example elevator system includes a plurality of elevator cars. A dispatch controller assigns a first one of the elevator cars to travel to a landing in response to a first request for elevator service at that landing. At least one call button is operative to place a second request while the first one of the elevator cars is situated at the landing in response to the first request. The dispatch controller assigns a second one of the elevator cars to travel to the landing in response to the second request.

A method of adjusting a load setting of an elevator car that includes receiving one or more load measurements associated with the elevator car and determining a maximum load of the elevator car from the one or more load measurements. The method further includes generating a modified load setting for the elevator car based on the maximum load and replacing the load setting of the elevator car with the modified load setting.

A method for reassigning a first elevator car of a plurality of elevator cars that includes dispatching the first elevator car from a current location to a first destination location to pick up an occupant at the first destination location. The method includes determining the first elevator car stopped at an intermediate location positioned between the current location and the first destination location. The method further includes determining a number of occupants within the first elevator car is greater than at least a second elevator car of a plurality of elevator cars after the first elevator car stopped at the intermediate location, and directing the first elevator car to a second destination location different from the first destination location.

An elevator control apparatus may include a free space detector configured to detect the free space within the elevator based on CCTV within an elevator and data receive by a robot, a boarding demand prediction unit configured to predict a boarding demand of the platform based on platform monitoring data, and an elevator controller configured to determine whether to stop at the platform based on the boarding demand and the free space, where the elevator controller may be configured to predict the number of passengers and the number of robots that can be boarded and provide them to the corresponding platform when it has determined to stop, and to provide a non-stop notification to the corresponding platform when it has determined not to stop.

Provided are embodiments for identifying waiting passengers outside an elevator using deep learning and machine learning and automatically supporting social distancing for elevator passengers. Embodiments include receiving a call request from an elevator floor; capturing an image of the elevator floor registering the call request responsive to receiving the call request; and determining, from the image, a presence of one or more waiting passengers on the elevator floor registering the call request. Embodiments also include dispatching an elevator car to the elevator floor registering the call request; and controlling the elevator car based at least in part on determining the presence of the one or more waiting passengers.

In an elevator installation, an elevator control system is configured to receive an elevator call from a person via a call terminal and from a robot via a radio transceiver. A current transport capacity of the elevator installation is determined. An elevator call originating from the robot is recognized by the elevator control system, the call including a priority level set by a dispatcher, wherein the priority level is one of a high, a medium and a low priority range, wherein the elevator call is indicative of a boarding floor. The allocation of the elevator call originating from the robot to the elevator car is delayed if the priority level is set to the medium priority range and the current transport capacity is lower than a first threshold value, or if the priority level is set to the low priority range and the current transport capacity is lower than a second threshold value.