Method of Serious Traffic Incidents Analysis with the Use of Stochastic Timed Petri Nets

Jacek Skorupski

Abstract

One of the primary sources of information and inspiration in the creation of new, more secure solutions in traffic organization are the occurrences with most serious consequences called accidents (air), serious accidents (rail) or catastrophes (road, sea). Accidents investigation is usually conducted in terms of searching for the reasons of these events and to make preventive recommendations aimed at elimination of these causes. In this paper, it is proposed to draw more attention to the events of somewhat less severity of the consequences ] serious incidents (air), traffic conflicts (road) and incidents (rail, maritime). A model of real serious traffic incident, created with the use of stochastic, timed Petri nets is presented. Simulation experiments were carried out, which allowed for determination of the probability of transformation of the incident into the accident. The proposed method of analyzing serious traffic incidents also allows to determine the effectiveness of the barriers that have prevented an accident in a real occurrence.
Author Jacek Skorupski (FT / DATE)
Jacek Skorupski,,
- Department of Air Transport Engineering
Journal seriesTransNav -The International Journal on Marine Navigation and Safety of Sea Transportation, ISSN 2083-6473
Issue year2013
Vol7
No4
Pages599-606
Publication size in sheets0.5
Keywords in English Safety Barriers, Traffic Incident Analysis, Serious Traffic Incidents, Accidents Investigation, Stochastic Timed Petri Nets, Air Traffic, Transport Safety, Traffic Incidents in Transport
DOIDOI:10.12716/1001.07.04.16
URL http://www.transnav.eu/Article_Method_of_Serious_Traffic_Skorupski,28,470.html
Languageen angielski
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Method of Serious Traffic Incidents Analysis with the Use of Stochastic Timed Petri Nets.pdf 371.69 KB
Score (nominal)12
ScoreMinisterial score = 7.0, 05-09-2019, ArticleFromJournal
Ministerial score (2013-2016) = 12.0, 05-09-2019, ArticleFromJournal
Citation count*1 (2020-09-19)
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