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While there are many examples of Intelligent Transport System deployments in Poland, more attention should be paid to traffic incident management and detection on dual-carriageways and urban street networks. One of the aims of CIVITAS DYN@MO, a European Union funded project, is to use TRISTAR (an Urban Transport Management System) detection modules to detect incidents at junctions equipped with traffic signals. First part of paper provides an overview of urban incident detection methods and algorithms. Second part of paper describes how the TRISTAR system infrastructure and software are currently used for detecting incidents on urban artery sections (with higher speed limit). Because the need to detect incidents on other arteries was identified, research were undertaken that will lead to the development of algorithms for the detection of incidents on the streets equipped with traffic signals. The initial results of simulation studies (using VISSIM software) are presented in the third part of the paper. Their objective was to initially select parameters for detecting incidents at junctions equipped with traffic signals. Further research will look at a fusion of variables and possible other variables that may develop the algorithms. (C) 2016 The Authors. Published by Elsevier B.V.
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- Kategoria:
- Aktywność konferencyjna
- Typ:
- materiały konferencyjne indeksowane w Web of Science
- Opublikowano w:
-
Transportation Research Procedia
nr 14,
strony 3466 - 3475,
ISSN: 2352-1465 - Tytuł wydania:
- TRANSPORT RESEARCH ARENA TRA2016 strony 3466 - 3475
- ISSN:
- 2352-1465
- Język:
- angielski
- Rok wydania:
- 2016
- Opis bibliograficzny:
- Oskarbski J., Zawisza M., Żarski K..: Automatic Incident Detection at Intersections with Use of Telematics, W: TRANSPORT RESEARCH ARENA TRA2016, 2016, ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS,.
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.trpro.2016.05.309
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 137 razy