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Direct observation of rerouting phenomena in traffic networks

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper we propose how available dataset can be used to estimate rerouting phenomena in traffic networks. We show how to look at set of paths observed during unexpected events to understand the rerouting phenomena. We use the information comply model [1] and propose its estimation method. We propose the likelihood formula and show how the theoretical and observed rerouting probabilities can be obtained. We conclude with illustrative example showing how a single observed path can be processes and what information it provides. Contrary to parallel paper [2] where rerouting phenomena is estimated using real traffic flow measures from Warsaw, here we use only synthetic data. The paper is organized as follows. First we elaborate on rerouting phenomena and define the traffic network, then we summarize the literature behind rerouting phenomena. We follow with a synthetic definition of dynamic traffic assignment needed to introduce ICM model in subsequent section. Based on that introduction we define the observations and propose estimation method based on them followed by illustrative example. Paper is summarized with conclusions and pointing of future directions.
Rocznik
Strony
57--66
Opis fizyczny
Bibliogr. 44 poz., wykr.
Twórcy
autor
  • Cracow University of Technology, Department of Transportation Systems, Cracow, Poland
autor
  • DICEA, Sapienza University of Rome, Rome, Italy
Bibliografia
  • [1] Kucharski, R., Gentile, G. & Meschini, L. 2014, Information Comply Model - new model to represent rerouting phenomena in Dynamic Traffic Assignment. 5th International Symposium on Dynamic Traffic Assignment, pages 1-32, Salerno, 2014.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5064fcfe-0cc3-4ed7-bec8-ee91df738301
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