|Publisher DOI:||10.1007/978-3-030-18072-0_48||Title:||Application of New Technologies to Improve the Visual Field of Heavy Duty Vehicles Drivers||Language:||English||Authors:||Stojanovic, Nadica
Abdullah, Oday Ibraheem
|Issue Date:||2020||Source:||Lecture Notes in Networks and Systems (76): 411-421 (2020-01-01)||Journal or Series Name:||Lecture notes in networks and systems||Abstract (english):||The World Health Organization has declared pedestrians, cyclists and motorcycle, moped drivers and passengers, as vulnerable categories of participants in traffic. Some of the reasons are that they often can be found in a blind spot of the cars, vans and heavy duty vehicles. Therefore, the drivers of such vehicles can t notice them. Determination of the visual field of heavy duty vehicles drivers, is performed in the paper by applying Catia V5 software, module Ramsis (in case if only rear-view mirrors are used). Based on this approach, the reasons for using cameras and sensors instead of a rear-view mirror are reflected in the reduction of blind spots and reduction of the aerodynamic drag coefficient, the numerical simulation was obtained by using Ansys/Workbench 14.5 software.||URI:||http://hdl.handle.net/11420/2675||ISBN:||978-3-030-18071-3
|ISSN:||2367-3370||Institute:||Laser- und Anlagensystemtechnik G-2||Type:||InBuch (Kapitel / Teil einer Monographie)|
|Appears in Collections:||Publications without fulltext|
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