Original scientific paper

https://doi.org/10.7906/indecs.15.2.1

Radiofrequency Identification by using Drones in Railway Accidents and Disaster Situations

Géza Károly Kiss Leizer ; Doctoral School of Safety and Security Sciences of Óbuda University, Budapest, Hungary
Dániel Tokody orcid.org/0000-0002-9984-0434 ; Doctoral School of Safety and Security Sciences of Óbuda University, Budapest, Hungary

Abstract

Today, railway operation procedures include the transportation of large amount of hazardous substances. Our research has been motivated by the desire to find concrete and urgent solutions to the safety issues of handling waste generated manly in case of accidents and disaster situations during the transportation of hazardous substances In order to ensure safety in the transportation of dangerous goods, and to facilitate the fast and efficient waste handling of hazardous substances released into the environment during unexpected events, we have elaborated a new method, in which we suggest the radiofrequency identification of dangerous consignments in case of disaster situations by the use of drones.

Keywords

railway accidents; transportation of dangerous goods; waste management; radiofrequency identification; drone

Hrčak ID:

183681

URI

https://hrcak.srce.hr/183681

Publication date:

30.6.2017.

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