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 
Grujic, Ivan 
Glisovic, Jasna 
Abdullah, Oday Ibraheem 
Vasiljevic, Sasa 
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
978-3-030-18072-0
ISSN: 2367-3370
Institute: Laser- und Anlagensystemtechnik G-2 
Type: InBuch (Kapitel / Teil einer Monographie)
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