An algorithm and implementation to predict the arrival of transit vehicles

This paper presents an algorithm to predict transit vehicle arrival times up to an hour in advance. The time series of data from an automated vehicle location system, consisting of time and location pairs, is used with historical statistics in an optimal filtering framework to predict future arrivals.