Intelligent driver assistance systems as factor of transportation safety assurance

The article discusses measures aimed at preventing road traffic accidents (RTAs). The main causes and conditions contributing to RTAs are investigated, specific measures are proposed to reduce the accident rate and its socially dangerous consequences for the country. The analysis of RTA causes shows that most of them are due to the driver's fault. The concept of solving the issue of safety of road users is substantiated not in terms of an already occurred collision but in terms of its prevention. In order to prevent possible accidents on roads, as well as to ensure the safety of drivers and passengers we suggest equipping vehicles with the ADAS Eagle Vision intelligent driver assistance system. The system monitors the distance between vehicles, timely warning of pedestrians on the roadway. A warning of violations and danger comes in the form of sound signals and displayed visually on the LCD display. Installation of this system will reduce the number of RTAs occurring due to the driver's fault. Based on the calculations performed, we can conclude that it is expedient to use the ADAS Eagle Vision intelligent driver assistance system. © 2020 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the XIV International Conference 2020 SPbGASU “Organization and safety of traffic in large cities”

Авторы
Popova I. 1 , Danilov I. 2 , Abdulina E.1
Сборник материалов конференции
Издательство
Elsevier B.V.
Язык
Английский
Страницы
552-558
Статус
Опубликовано
Том
50
Год
2020
Организации
  • 1 Branch of Samara State University of Railway Transport in Saratov, 1A Astrakhanskaya St., Saratov, 410004, Russian Federation
  • 2 Рeoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation
Ключевые слова
Economic effect; GPS sensor; Intelligent system; Road traffic accident (RTA); Road traffic safety; Vehicles; Video camera
Дата создания
20.04.2021
Дата изменения
29.04.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/71871/
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