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Analysis of causes and consequences of electric car accidents

Authors: Michal Ballay; Jozef Kubas;

Analysis of causes and consequences of electric car accidents

Abstract

The vision of a climate-neutral European continent directly relates to road transport, which represents an energy-demanding area. The annual increase in the share of electric cars also contributes to this vision in road traffic. Therefore, it is common that the driver of an electric car causes or is a participant in an accident. These electric powered vehicles require increased attention, especially in matters of the safety of emergency services in the event of accidents. The article is focused on the issue of electric vehicle accidents in terms of their causes and consequences. In this regard, it is important to understand all the risks, which result from accidents involving electric cars. The article is primarily focused on the analysis of the causes and consequences of accidents. For the purposes of risk analysis, the failure mode and effect analysis method is applied. In connection with the wide range of applications of the method in question in various systems and areas, the application of the method in the article is significant and unique. It is based on predefined scenarios of electric car accident events. Its application consists of identification and numerical phases. These are created and calculated on the basis of expert estimates and determine the level of risk of defined scenarios. The degree of risk in the form of a risk number defines the importance of an accident event. The article includes a diagram, which is based on Pareto analysis and points to the susceptibility of defined accident events. The importance of the analysis lies in the discovery of a small number of causes, which significantly influence the defined consequences of accident events.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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