Simulation of an intelligent elevator system

In this thesis, a different simulation program has been developed for an elevatorsystem which is car activity controlled by AIN (Artificial Intelligence Network).Passengers have been demanded service at random number, suitable for trafficorder all floors as in real systems. Target calls has determined before passengersdon?t arrive the car. In this way, it is rather approached to real system,reducing probabilities at least. A different characteristic of this simulationprogram the car is directed to floors that are passengers demand densely inorder to increase total quality. Because of this weight degree of the floor whichhas passengers that have maximum waiting time is carried out an AIN input,selecting maximum. The car is directed to floor that has maximum weightdegree. In this way, to RTT (Round-Trip Time) and waiting time is reduced.