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2019 IEEE International Conference on Information Technologies

Prediction of Travel Time Using Historical Data

Raymond Sondak
Leon Rothkrantz
Czech Technical University in Prague
Delft University of Technology
Czech Republic
The Netherlands
Abstract:

To plan a route along the highways, car drivers have to take care of the regular jams especially in the rush hours. The delay in travel time caused by regular jams can be predicted by historical data composed of loggings of travel time on specific road segments. Information on travel time can be assessed by sensors along the roads or via smart phones. Usual these data are not public domain available but can be extracted from websites. These data must be averaged over similar days with respect to the following parameters: time of the day, day of the week, seasonal effects and weather conditions. In this paper we describe the process of how to store these data in a database.

Key words:
historical travel data
route planner
polling website
shortest path algorithm