Radiofrequency Identification by using Drones in Railway Accidents and Disaster Situations

Dániel Tokody () and Géza Károly Kiss Leizer
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Dániel Tokody: Doctoral School of Safety and Security Sciences of Óbuda University, Budapest, Hungary
Géza Károly Kiss Leizer: Doctoral School of Safety and Security Sciences of Óbuda University, Budapest, Hungary

Interdisciplinary Description of Complex Systems - scientific journal, 2017, vol. 15, issue 2, 114-132

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 (search for similar items in EconPapers)
JEL-codes: L92 O18 R41 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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