TY - JOUR JF - Marine-Engineering JO - Marine Engineering VL - 14 IS - 27 PY - 2018 Y1 - 2018/7/01 TI - Ship Collision Probabilistic Risk Analysis by Traffic simulation in Persian Gulf TT - تحلیل ریسک احتمالاتی برخورد شناورها با شبیه‌سازی ترافیک در خلیج فارس N2 - Marine transportation industry, as the main basis of world trade, is of great importance. Here, collision and grounding are the most frequent ones, threatening the industry. To study collision accident and assessment of its occurrence risk, we need to identify ship routes, in which Automatic Identification Systems introduces the best tool. Here, based on the concept of safety domain applied on traffic, high collision concentration locations are identified. Accordingly, probability of collision occurrence in the high risk locations is examined based on the Bayesian network. This study just show sample result of implementing new approaches in accident analysis, which has no previous record in our country. SP - 95 EP - 110 AU - filom, siyavash AU - panahi, roozbeh AD - Assisstant professor, Tarbiat Modares University KW - Maritime transportation KW - Ship collision KW - AIS KW - Bayesian network KW - Persian Gulf UR - http://marine-eng.ir/article-1-638-en.html ER -