Soft Set Approach for Studying the Passenger Behavior in Public Transport System

Abstract: The public transit system are essential services to the sustainability and livability of any city. Transit agencies are consistently trying to improve service reliability and attract passengers by applying various strategies. In this paper, we present an approach to mining the temporal behavior of the passengers in a public transportation system, which may help the transport operators to know the demand of the passengers, which may be helpful in redesigning the existing transport system. In our model, the choices between alternatives are based on the factors like cheaper cost, lesser travel time, time convenience, safety, age of the passenger, income of the passenger, work flexibility, working start and end times. The modes of transport under study are Government bus, Private Bus, Mini Bus, taxi and train. Using soft set theoretic approach we arrived at an result about the public’s choice in choosing a transport system.