Petrol Pump Queue Management System for Sultanate of Oman Using Artificial Intelligence Technique

Abstract

This paper discusses issues of managing queues of vehicles at petrol pumps in the Sultanate of Oman and identify solutions to minimize the waiting time. This paper propose the use of an artificial intelligence (AI) based technique to manage queues. The proposed Petrol Pump Queue Management System uses a supervised classification algorithm of machine learning. This is to identify the type of vehicle and be able to estimate the tank size to calculate automatically the time required for refueling. The main idea is to display the timer count on the screens so that the drivers of the vehicles that are in the queue will know the time remaining for each vehicle and accordingly they will be able to decide the choice of a particular queue, when there are multiple queues at the petrol pumps. Alongside, this system will help the workers in the petrol pump station to organize their work as they will be able to track which car is finishing first. As this system will organize the work process in the station with the help of notifications on the screens, any service issue or requirement will get highlighted directly.