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Research Article | 21-April-2017

Determine the safe transport of dangerous goods route

algorithms, working out the optimal routes for dangerous goods transportation by the minimum of the RTA occurrence probability.

Viktor DOLIA, Irina ENGLEZI

Transport Problems, Volume 10 , ISSUE 1, 31–44

Article | 15-March-2021

RISK ASSESSMENT DURING THE TRANSPORTATION OF DANGEROUS GOODS CONSIDERING THE FUNCTIONAL STATE OF THE DRIVER

become more important every time. The specific importance of this becomes clear when drivers operate vehicles that transport dangerous goods. Therefore, research on the interaction of chains of the DARE system (using improved existing and developed methods by the authors) is carried out in this paper, taking into account the indicators of drivers’ FS in different situations (stress index, which consists in evaluation of the heart and brain operations). The results obtained provide an

Yevhen FORNALCHYK, Maksym AFONIN, Taras POSTRANSKYY, Mykola BOIKIVBOIKIV

Transport Problems, Volume 16 , ISSUE 1, 139–152

Article | 31-December-2020

RISK AND HUMAN FACTOR IN CARRIAGE OF DANGEROUS GOODS BY ROAD

into account the human factor both on planned and existing routes depending on the categorization of road sections, the division into classes of dangerous goods, the effect of possible scenarios, and risks on transport safety.

Sylwia BĘCZKOWSKA, Włodzimierz CHOROMAŃSKI, Iwona GRABAREK

Transport Problems, Volume 15 , ISSUE 4, Part 1, 19–28

Article | 01-March-2012

HSCLOUD: CLOUD ARCHITECTURE FOR SUPPORTING HOMELAND SECURITY

M. Fazio, M. Paone, A. Puliafito, M. Villari

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 246–276

Article | 01-March-2015

A STUDY OF X-RAY MACHINE IMAGE LOCAL SEMANTIC FEATURES EXTRACTION MODEL BASED ON BAG-OFWORDS FOR AIRPORT SECURITY

. It’s easy for the confused screeners to miss or incorrectly detect dangerous articles. This has been a hidden danger for civil aviation safety. For image recognition improvement, the researcher analyzed the visual semantics of dangerous goods images and applied a local semantic features extraction method. After classification and summarization, the method was used to train the screeners for particular image recognition. The comparison showed the improved accuracy and efficiency of image recognition

Ning Zhang, Jinfu Zhu

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 45–64

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