Enhancing the Inter-Linked Monte Carlo Simulation Method (iLMCS) to Reflect Random Passenger Inter-Arrivals

The Monte Carlo Simulation method (MCS) has been successfully used to find the value of the lift round trip time under general traffic conditions, including cases such as multiple entrances, unequal floor heights, unequal floor populations, rated speed not attained in one floor journey, as well as the variation in group control algorithms (e.g., destination group control). In conventional Monte Carlo Simulation, the various trials (or scenarios) are completely disconnected, where the end of one trial does not influence the following trial. Past research work presented the new extension of the Monte Carlo Simulation, by inter-linking each trial or scenario in the Monte Carlo Simulation with the next one, where it links the trials such that the end conditions of one trial become the initial conditions of the following trial. This “interlinking” allows the method to reflect the effect of the random passenger destinations on the value of the round-trip time. The past research work examined in detail the effect of the first source of randomness in the lift system: the randomness of the origins and destination of passenger. It did not, however, examine the effect of the randomness caused by variable passenger inter-arrival time (following an exponential probability distribution). This paper will also include the effect of bunching on the value of the round trip time as well as the queue length at the landing.