کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
805812 905217 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Benefit/Cost/Deficit (BCD) model for learning from human errors
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
A Benefit/Cost/Deficit (BCD) model for learning from human errors
چکیده انگلیسی

This paper proposes an original model for interpreting human errors, mainly violations, in terms of benefits, costs and potential deficits. This BCD model is then used as an input framework to learn from human errors, and two systems based on this model are developed: a case-based reasoning system and an artificial neural network system. These systems are used to predict a specific human car driving violation: not respecting the priority-to-the-right rule, which is a decision to remove a barrier. Both prediction systems learn from previous violation occurrences, using the BCD model and four criteria: safety, for identifying the deficit or the danger; and opportunity for action, driver comfort, and time spent; for identifying the benefits or the costs. The application of learning systems to predict car driving violations gives a rate over 80% of correct prediction after 10 iterations. These results are validated for the non-respect of priority-to-the-right rule.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 96, Issue 7, July 2011, Pages 757–766
نویسندگان
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