Comparison of passenger wait and travel time perceptions at bus stops

Abstract

Passenger's perceived time is important in improving the public transport system. Since it is only possible to reach these values with a survey, it is very difficult to obtain them. Therefore, studies on this subject are very few and valuable. In the study, passengers' perceived waiting time and travel time values were determined at bus stop. In order to obtain these values, a survey was conducted with the passengers. The linear relationship between waiting time and travel time data was examined and a model was created. The data obtained with the basic regression model, which is the basis of machine learning, is divided into 20% test and 80% training data. The estimation was made with 85% success with the tested data.