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Road travel time prediction: A micro-level sampling approach
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, School of Computing.
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The ability to generate accurate travel time predictions for road freight transport is important when, for example, estimating the arrival times for heavy goods vehicles (HGVs) in order to plan terminal activities. We present a micro-level sampling method for road travel time prediction. The method makes use of historical GPS-data in order to determine the movement of a vehicle from an origin to a destination along a specific route. The method generates a travel time distribution, which can be used to obtain the expected travel time and probabilities for deviations. The method has been illustrated and evaluated in an experiment where the effective travel time was predicted for transport between two terminals. The experiment made use of GPS data that was recorded for two HGVs during a period of two months. An important feature of the method is that it does not need road network information, such as speed limits and number of lanes.

Place, publisher, year, edition, pages
The Hague: IEEE Intelligent Transport Systems Society , 2013.
Keyword [en]
Simulation, Statistics, GPS, travel time, freight transport
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-6362ISI: 000346481000258Local ID: oai:bth.se:forskinfo0434A7C290EC55D1C1257C350040DE06OAI: oai:DiVA.org:bth-6362DiVA: diva2:833860
Conference
16th International Conference on IEEE Intelligent Transport Systems
Note

The online version on IEEE Xplore is yet to be avialble.

Available from: 2015-05-25 Created: 2013-12-02 Last updated: 2017-03-17Bibliographically approved

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Mbiydzenyuy, GideonDahl, MattiasHolmgren, Johan
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CiteExportLink to record
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Citation style
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