کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7226173 | 1470612 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Bayesian Network for the Transportation Accidents of Hazardous Materials Handling Time Assessment
ترجمه فارسی عنوان
یک شبکه بیژین برای حوادث حمل و نقل مواد خطرناک ارزیابی زمان
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کلمات کلیدی
حوادث حمل و نقل مواد خطرناک، شبکه بیزی، زمان اتلاف وقت، نجات اضطراری،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
چکیده انگلیسی
To improve the efficiency of emergency rescue in transportation accidents of hazardous materials(HAZMAT), a Bayesian network(BN) was developed in this paper to estimate the accident handling time. Also, based on this BN, the difficulty of handling every types of accidents can be quantified. According to theoretical analysis and literature review, 7 nodes (season, time, type of road, type of HAZMAT, the former accident, the secondary accident and handling time) are used to set up the BN. The value of mutual information was calculated to refine the BN. A database of 902 transportation accident of HAZMAT cases was built up for Bayesian parameter learning. Based on the parameter learning of BN, the results were summarized as follow: (1) The BN could be used to estimate the probabilities of handling time in different periods which include '0 to 2 hours', '2 to 4 hours', '4 hours and more'. (2) The difficulty of each type of accident can be ordered as follow: rollover> rear-end> internal faultâ impact> falling> tire fault> vehicle body fire. Leakage>combustion explosion.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Engineering - Volume 211, 2018, Pages 63-69
Journal: Procedia Engineering - Volume 211, 2018, Pages 63-69
نویسندگان
Jia-rui Chen, Ming-guang Zhang, Shi-jie Yu, Jian Wang,