الفهرس 
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Abstract
Nowadays, it is a common sight in many cities around the world to see the high tower buildings. These towers increase the need for more efficient vertical transportation using elevator systems. Now, many algorithms exist in the market to serve the increased requests of
passengers demands.
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In this thesis, we introduce the system time cost function for elevator group control (EGC) systems by extending the algorithm of minimizing average passengers hall waiting time to include the time period that is spent by the passenger inside the elevator car (passenger traveling time).
As a basic requirement for using the algorithm of minimizing system time, the passenger destination floor should be known at the hall call generation time. Two approaches have been described to get this information at the required time. The first approach is to predict the passenger destination floor at hall call generation time. The disadvantage of this approach is that it is restricted on some types of buildings and traffic patterns (business building and the inter-floor and the two-way transportation traffic patterns), where the passenger destination Iloor can be expected. It is shown by simulation that this approach gives better performance than the algorithm of minimizing passengers average hall waiting time. Simulation shows that for a correct prediction for 70% or above, the algorithm of minimizing system time gives better performance.
The second approach is to change the elevator system design by removing the regular two hall up and down buttons and replace them by the car buttons board at every floor. The cars button boards are removed from the cars. The passenger selects his/her destination form the board at every floor at the hall call generation time. Simulation shows that this approach has been improved the performance by a ratio of 33% in some cases. However, the major disadvantage of this approach is the cost of replacing two hall buttons by a car buttons.
Load balancing system measurement has been introduces as a side output from simulation experiments. Minimizing system time algorithm shows experimentally that it keeps the load balanced between system cars.