Author(s)

Zeyuan (Uriah) Wu

Corresponding Author

Zeyuan (Uriah) Wu

ABSTRACT

The bus transportation, as one of the major forms of the public transportation system, has played important role in the modern society. As the bus transportation system, and the intelligent transport system as a whole, develops, the precise bus arrival time prediction has become in great need, for which benefits the endusers by provide better prediction service thus saving their waiting time, rendering increased satisfaction rate. To accurately predict the arrival time, an assortment of measures was taken by different entities. This essay would briefly introduce some of them and illustrate how they functions. And then the different approaches are compared.

KEYWORDS

Bus arrival time prediction, historic average method, ANN model, Kalman filter (KF) model, Support Vector Machine (SVM) model, Prediction Model Based on Probability