Abstract
Considering the increasing number of vehicles used for a variety of purposes, the demand for accurate traffic services is also rising. Most drivers use traffic services to find a path through the city and get an estimation of how long the trip will take. Due to a large number of factors affecting driving in urban areas the task of predicting the estimated time of arrival is not trivial. In this paper we discuss different methods used for trip duration prediction and compare their performances. We use a real urban traffic data set for testing, and also make this data set public to stimulate future research.
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