Publication type: Conference paper
Type of review: Not specified
Title: Vehicular traffic data analysis and its benefits to prevent traffic congestion
Authors: Steiner, Albert
Hosang, Jürg
Meierhofer, Jürg
Proceedings: Proceedings of the IPLnet 2004 Workshop
Conference details: IPLnet 2004 Workshop, Automation and logistics for manufacturing in Switzerland, Murten, 7-8 September 2004
Issue Date: 2004
Publisher / Ed. Institution: IPLnet
Language: English
Subjects: Verkehr; Pattern recognition; Wavelet
Subject (DDC): 
Abstract: Traffic and traffic congestions in particular have an increasing economic impact at a national as well as a regional level. Data available from surveys performed on the Swiss freeway network show a surge in the accumulated yearly hours of congestion between the years 1994 and 2003. Congestions have different causes. However, the three major reasons identified are capacity overloads, incidents and temporary building sites where mainly the capacity overloads had a strong increase over the last years. Therefore, the focus of this paper is on this topic. In this paper, we present two data analysis methods, which are applied to vehicular traffic data. The goal of the first method is to estimate link travel times based on a re-identification algorithm applied on single vehicle data. The second approach seeks for incident detection using discrete wavelet transformation (DWT) technique. Both methods are implemented within a MATLAB®-environment and are intended to be a basis for other, superior algorithms to be developed for “Intelligent Transportation Systems (ITS)”. Their feasibility as well as their benefit is shown using real data. Moreover, a comparison of the estimated points in time of the beginning and the end of the congestion observed is conducted. The results show good consistence and thus represent a promising basis for further research on these topics.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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