Enhancing the I-S-P Method (Inverse Stops-Passengers) Using the Monte Carlo Simulation Method

Previous research has developed a method to infer the number of passengers that the lift car is carrying based on the number of stops that it makes in the up-direction or the down-direction (1992). The method was denoted as the I-S-P method (or the Inverse Stops-Passengers method). The application of the method was found to be sensitive to the prevailing mix of traffic in the building (e.g., incoming, outgoing or lunchtime). Developing those equations analytically becomes mathematically complex. This paper will use the Monte Carlo simulation method to numerically develop the ISP relationship under any mix of traffic (i.e., by using the percentage of incoming traffic, outgoing traffic and inter-floor traffic), without the need to resort to deriving analytical equations. The ISP method gives an estimate of the passenger traffic intensity based on a very basic dispatching control system. The main advantage of such an enhanced tool is that it can be used in real time to infer the number of passengers inside the car by simply monitoring the stops in any one of the two directions and under any type of traffic.