Application of New Technologies to Improve the Visual Field of Heavy Duty Vehicles Drivers(Book Chapter)
- aFaculty of Engineering, University of Kragujevac, Sestre Janjic 6, Kragujevac, 34000, Serbia
- bDepartment of Energy Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq
- cHamburg University of Technology, Hamburg, Germany
- dHigh Technical School of Professional Studies, Kragujevac, 34000, Serbia
Abstract
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 cant 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. © 2020, Springer Nature Switzerland AG.
Funding details
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja | MPNTR |
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1
Acknowledgments. This paper was realized within the researching project “The research of vehicle safety as part of a cybernetic system: Driver-Vehicle-Environment” ref. no. TR35041, funded by Ministry of Education, Science and Technological Development of the Republic of Serbia.
- ISSN: 23673370
- Source Type: Book Series
- Original language: English
- DOI: 10.1007/978-3-030-18072-0_48
- Document Type: Book Chapter
- Publisher: Springer
Stojanovic, N.; Faculty of Engineering, University of Kragujevac, Sestre Janjic 6, Kragujevac, Serbia;
© Copyright 2019 Elsevier B.V., All rights reserved.
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