Application of New Technologies to Improve the Visual Field of Heavy Duty Vehicles Drivers

First published in
Lecture notes in networks and systems  
Number in series
76 LNNS
Start Page
411
End Page
421
Citation
Lecture Notes in Networks and Systems 76: 411-419 (2020)
Contribution to Conference
New Technologies, Development and Application II, NT 2019  
Publisher DOI
10.1007/978-3-030-18072-0_48
Scopus ID
2-s2.0-85065436297
Publisher
Springer
ISBN
978-3-030-18072-0
978-3-030-18071-3
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.
DDC Class
600: Technik