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Short Term Travel Time Prediction Using Floating Car Data Based On Cluster Analysis

Sohr, Alexander and Wagner, Peter (2008) Short Term Travel Time Prediction Using Floating Car Data Based On Cluster Analysis. 15th World Congress on ITS 2008, 2008-11-16 - 2008-11-20, New York City, NY (USA).



Precise short-term prediction of traffic parameters such as flow and travel-time is a necessary component for many ITS applications. This work describes the research on a novel, fast, and robust algorithm which is based on a partitioning cluster analysis. It is able to calculate travel times from Floating Car Data (FCD) for a whole city, even for minor roads. A potential problem with FCD is the insufficient penetration rate of smaller taxi fleets and the resulting noisy and/or missing data (4). The new approach accounts for this by smoothing the data by a local fit method based on polynomials with the help of a Singular Value Decomposition (SVD). Numerical experiments confirm the high efficiency of the algorithm and a promising quality of the prediction.

Item URL in elib:https://elib.dlr.de/57318/
Document Type:Conference or Workshop Item (Paper)
Title:Short Term Travel Time Prediction Using Floating Car Data Based On Cluster Analysis
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Date:November 2008
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Prediction, traffic, floating car data, cluster analysis, smoothing, singular value decomposition
Event Title:15th World Congress on ITS 2008
Event Location:New York City, NY (USA)
Event Type:international Conference
Event Dates:2008-11-16 - 2008-11-20
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:V SM - Sicherung der Mobilität (old)
DLR - Research area:Transport
DLR - Program:V SM - Sicherung der Mobilität
DLR - Research theme (Project):V - Terrestrische Verkehrsdatenerfassung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Traffic Management
Deposited By: Sohr, Alexander
Deposited On:14 Jan 2009
Last Modified:31 Jul 2019 19:23

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