Design and Development of a Prediction Model for Passenger flow in Public Transport System

Abstract

In developing countries, the increased population rate is an important problem in the public transportation system. In this research work, our proposed mechanisms are consist of three approach used to improve the comfort of passenger in public transport system. In the first approach, Cluster-SAE-SR classifier is used for features extraction and to predict the passenger detail seasonal wise, weekend wise, weekdays wise , months wise and holiday-wise for BTS and MTS. newline newline