A Comparison between Two Elevator Control Algorithms: Normal Algorithm V/S Smart Algorithm with Occupancy Sensing Device

Abstract

Elevator systems are an essential component in the operation of multi-story buildings, particularly in environments with high population density and frequent vertical transportation demands. Ensuring efficient elevator performance is critical to minimizing passenger delays and enhancing user satisfaction. This research presents a comparative analysis between two distinct elevator control algorithms: the conventional or “normal” algorithm and a smart algorithm that incorporates an occupancy sensing device. The conventional algorithm processes all floor requests without consideration of the elevator's current load, often resulting in unnecessary stops, increased passenger waiting times, and inefficient operation. Conversely, the smart algorithm utilizes a real-time sensing mechanism within the elevator cabin to detect available space and determines whether to stop for additional passengers based on current capacity.

To assess the performance of both algorithms, a simulation was conducted using twelve different elevator scenarios within a multi-floor environment. The evaluation focused on several key performance metrics, including passenger waiting time, passenger travel time, number of elevator stops, and the total operational time of the elevator system. The data collected for each scenario was analyzed to compare the effectiveness of the two algorithms under varying load conditions and call patterns. The results clearly demonstrate that the smart algorithm reduces unnecessary stops and improves overall efficiency by shortening both waiting and travel times. Additionally, fewer stops contribute to reduced energy consumption and less mechanical wear. These findings indicate that the integration of sensing technology into elevator control systems has the potential to significantly enhance performance, reduce operational costs, and provide a more streamlined and responsive transportation experience in modern buildings.