Research Article | 21-April-2017
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
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
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
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
. 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