Artificially intelligent traffic modeling and prediction system

Details Artificially intelligent traffic modeling and prediction system Artificially intelligent traffic modeling and prediction system

1993-04-16

1994-10-11

Stephan, Steven L.

Elevator, industrial lift truck, or stationary lift for vehicle

Having computer control of elevator

187387, B66B 118

Patent

active

053549570

ABSTRACT:
A system for allocating hall calls in a group of elevators includes a plurality of neural network modules to model, learn and predict passenger arrival rates and passenger destination probabilities. The models learn the traffic occurring in a building by inputting to the neural networks traffic data previously stored. The neural networks then adjust their internal structure to make historic predictions based on data of the previous day and real time predictions based on data of the last ten minutes. The predictions of arrival rates are combined to provide optimum predictions. From every set of historic car calls and the optimum arrival rates, a matrix is constructed which stores entries representing the number of passengers with the same intended destination for each hall call. The traffic predictions are used separately or in combination by a group control to improve operating cost computations and car allocation, thereby reducing the travelling and waiting times of current and future passengers.

REFERENCES:
patent: 5022497 (1991-06-01), Thanagavelu
patent: 5024295 (1991-06-01), Thanagavelu
Mechatronics, vol. 2, No. 1, Ovaska, Electronice and Information Technology in Hi-Range Systems, pp. 89-99, Feb. 19, 1992, Great Britain.

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