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 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.
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References
The Official Gazette of the Republic of Serbia, No. 40/12, 102/12, 19/13, 41/13, 102/14, 41/15, 78/15, 111/15, 14/16, 108/16, 7/17 (ispravka) i 63/17 Rulebook on the Classification of Motor Vehicles and Trailers, and Technical Conditions for Vehicles in Road Traffic
Knight, I.: A study of the implementation of Directive 2007/38/EC on the retrofitting of blind spot mirrors to HGVs, PUBLISHED PROJECT REPORT PPR588 (2011)
Regulation No. 46 Uniform provisions concerning the approval of devices for indirect vision and of motor vehicles with regard to the installation of these devices
Orlaco. https://www.orlaco.com/files/vision%20systems/MirrorEye/truck/fov-truck-orlaco.png. Accessed 12 Dec 2018
Way, M.L., Reed, M.P.: A method for measuring the field of view in vehicle mirrors. In: SAE International, 2003-01-0297 (2003)
Blower, D.: Truck mirrors, fields of view, and serious truck crashes, Report No. UMTRI-2007-25 (2007)
Summerskill, S., Marshall, R.: Understanding direct and indirect driver vision from heavy goods vehicles, Summary report (2016)
Ball, J.K., Danaher, D.A., Ziernicki, R.M.: A method for determining and presenting driver visibility in commercial vehicles. In: SAE International, 2007-01-4232 (2007)
Jevtić, V.: Speed as an indicator of motorcyclists’ safety. Doctoral dissertation, University of Belgrade, Faculty of Transport and Traffic Engineering (2015)
Bayındırlı, C., Akansu, Y.E., Salman, M.S.: The determination of aerodynamic drag coefficient of truck and trailer model by wind tunnel tests. Int. J. Automot. Eng. Technol. 5(2), 53–60 (2016)
WUWT – Watts Up With That. https://wattsupwiththat.files.wordpress.com/2009/11/semi-truck-savings.png. Accessed 17 Dec 2018
Orlaco. https://www.orlaco.com/mirroreye-for-trucks. Accessed 02 Dec 2018
Brigade Electronics Group Plc. https://brigade-electronics.com/vehicles/articulated-truck-safety-products/. Accessed 17 Dec 2018
Brigade Electronics Group Plc. https://brigade-electronics.com/products/backeye360/. Accessed 17 Dec 2018
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.
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Stojanovic, N., Grujic, I., Glisovic, J., Abdullah, O.I., Vasiljevic, S. (2020). Application of New Technologies to Improve the Visual Field of Heavy Duty Vehicles’ Drivers. In: Karabegović, I. (eds) New Technologies, Development and Application II. NT 2019. Lecture Notes in Networks and Systems, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-18072-0_48
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DOI: https://doi.org/10.1007/978-3-030-18072-0_48
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