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Chapter

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Title

Adapting travel time estimates to current traffic conditions

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2013

Chapter type

paper

Publication language

english

Keywords
EN
  • floating car data
  • travel time prediction
  • concept drift
Abstract

EN The paper demonstrates drifts in travel time estimates of a floating car data based car navigation system. The operation of such a navigation system starts with collecting floating car data, i.e. multi-channel stream data sent in from moving cars. These dynamic data are then processed in an elaborate, multistage procedure, aimed at estimating the travel time and constituting an essential component of optimal route planning, which can effectively find not only the shortest, but also the fastest road connections, always taking into account the current traffic conditions. The experiments present the ability of the navigation system to detect and handle unusual traffic situations, like unexpected jams caused by sudden road accidents, which manifest themselves in the drifts of travel time estimates. All experiments were conducted on exclusively real-life data, provided by NaviExpert, a Polish car navigation company.

Pages (from - to)

79 - 88

DOI

10.1007/978-3-642-32518-2_8

URL

https://link.springer.com/chapter/10.1007/978-3-642-32518-2_8

Book

New Trends in Databases and Information Systems

Presented on

16th East-European Conference on Advances in Databases and Information Systems, ADBIS 2012, 17-21.09.2012, Poznan, Poland

Publication indexed in

WoS (15)

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