The invention refers to an elevator system having a plurality of elevator cars, which elevator cars comprise several first cars and at least one second car, which second car differs from the first cars in its size and/or technical configuration, whereby the first cars and the second car run together within one and the same elevator shaft, which elevator system comprises an elevator control comprising a call allocation control having a first part connected to at least one call input device for allocating the first elevator cars and a second part connected to at least one call issuing means for the call allocation of the second car, whereby the first and second part of the call allocation control are configured to work independently of each other.

Provided are embodiment for a method and a system for filtering unintended requests. The embodiments can include receiving an input to disable an elevator lock for an elevator car, and determining whether to unlock the elevator lock. The embodiments can also include unlocking the elevator lock based at least in part on the determination and permitting or prohibiting motion of the elevator car responsive to the determination.

A method of operating a building elevator system having a plurality of elevator systems organized into an elevator group including: detecting crowd data within an elevator lobby proximate the elevator group on a landing; determining a level of crowdedness in response to the crowd data; determining at least two elevator cars of the plurality of elevator systems are required in response to the level of crowdedness; dispatching an elevator car of a first elevator system of the plurality of elevator systems to the landing; dispatching an elevator car of a second elevator system of the plurality of elevator systems to the landing; and coordinating an arrival time of the elevator car of the first elevator system at the landing and an arrival time of the elevator car of the second elevator system at the landing.

A method and system for providing destination dispatch in an elevator control system, includes identifying a user, retrieving a user profile associated with the user, receiving a destination request associated with the user, analyzing the user profile and the destination request, determining a plurality of assignments, identifying a preferred assignment of the plurality of assignments, and prompting the user to opt-out of the preferred assignment.

Systems, computer-implemented methods, and computer program products that can facilitate elevator analytics and/or elevator optimization components are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a prediction component that can predict a current destination of an elevator passenger based on historical elevator usage data of the elevator passenger. The computer executable components can further comprise an assignment component that can assign the elevator passenger to an elevator based on the current destination.

An elevator control system for an elevator system, including a display device, at least one processor in communication with the display device and the elevator system, the at least one processor programmed or configured to render, on the display device, a graphical destination interface comprising a plurality of visual representations of destinations within the building, receive a user selection of a selected destination from the plurality of destinations, determine a plurality of selectable options for elevator call requests based on the selected destination, render the plurality of selectable options for elevator call requests on the graphical destination interface or a second graphical call request interface, receive a user selection of a selected option from the plurality of selectable options for elevator call requests, and control movement of an elevator car in the elevator system based on the selected destination and the selected option.

A method includes recording a primary destination dispatch request from a primary passenger at a first floor position via a destination dispatch controller 115, identifying a terminal floor, providing a terminal floor call signal to the elevator control system via an overlay controller 110, moving an assigned elevator car in a travel direction of the terminal floor, recording at least one secondary destination dispatch request from a secondary passenger at a respective at least one secondary floor position via the destination dispatch controller, approximating a position of the assigned elevator car, determining a target floor position via the destination dispatch controller, entering a target floor call corresponding to the target floor position at a calculated time to stop the assigned elevator car at the target floor position, cancelling all pending calls via the elevator control system 102, and entering at least one recorded destination dispatch request to the elevator control system.

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.

A system and a method of modifying an elevator call with a mobile device is provided. The method includes sending, to an elevator controller, a first input wherein the first input is a first elevator call, calling, using the elevator controller, an elevator based on the first elevator call and the mobile device, sending, using the mobile device, a second input, wherein the second input is a modify command, and modifying, using the elevator controller, the first elevator call based on the modify command.

Systems, methods and devices for real-time contactless elevator service operation of an elevator includes a trained neural network (TNN) model. The TNN model is trained using a training processor with augmented datasets as a synthetic training dataset, to later perform elevator identifier recognition. The augmented data sets are generated from synthetic text images, the synthetic text images are augmented with different geometrical parameters and visual parameters to a predetermined number of variations in appearance to a set of training elevator identifiers. A camera captures a user image. A text image portion from the user image is extracted using the TNN model, and detects an elevator identifier in the extracted text image portion using the extracted text image portion and the TNN model. The detected elevator identifier is displayed for user confirmation or user cancellation, and upon user confirmation, generates a control command based the detected elevator identifier associated with an elevator service.