Assessment of possible cable car accidents by employee competencies using neural networks

Abstract

Rope transport has received quite a lot of development in the field of passenger and cargo transportation. In some cases (for example, in ski resorts), it is indispensable. To prevent emergency situations, a sufficiently large number of standards and rules for safe operation and maintenance have been developed. However, emergencies do occur. One of the reasons is the insufficient professional training of rope transport workers, who must know and possess the skills to apply the provisions of regulatory documentation, as well as properly perform their professional duties. This article is devoted to the scientific problem of probabilistic assessment of the possibility of various emergency situations on cable transport, depending on the level of mastery of professional competencies and their constituent knowledge, skills and abilities. To solve this problem, a technology based on neural network training has been applied. As an example, specialists in the professional standard «Specialist in the organization of safe operation of passenger cable cars and funiculars» are considered.

Keywords

• accident
• emergency
• cable car
• probability
• assessment
• competence
• human factor
• neural network