Analysis of road safety assessment methods

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 2019 International Conference on Innovations in Automotive and Aerospace Engineering, ICI2AE 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1757-899X/632/1/012015

Аннотация: This article analyzes advantages and disadvantages of the methods approved at the legislative level and methods developed by various researchers. To identify advantages and disadvantages of each method, an experiment were carried out. During the experiment, safety of the 796 km section of the federal road R255 was assessed. Based on the analysis, all the methods were divided into three large groups: statistical methods, probabilistic methods, and methods based on the analysis of car movement on the road section under consideration. All the accident analysis methods applied in Russia and approved at the legislative level assess road safety when the accident has already occurred, i.e. post-factum. In this regard, it is relevant to identify patterns between the characteristics of the road section, vehicle movement parameters and road accident probability. Using these patterns, road safety can be improved. © Published under licence by IOP Publishing Ltd.

Ссылки на полный текст

Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: Vol. 632, Is. 1

Номера страниц: 12015

ISSN журнала: 17578981

Издатель: Institute of Physics Publishing

Авторы

  • Pulyanova K.V. (Department of Transport, Siberian Federal University, 79 prospekt Svobodnyy, Krasnoyarsk, 660041, Russian Federation)
  • Voevodin E.S. (Department of Transport, Siberian Federal University, 79 prospekt Svobodnyy, Krasnoyarsk, 660041, Russian Federation)
  • Fadeev A.I. (Department of Transport, Siberian Federal University, 79 prospekt Svobodnyy, Krasnoyarsk, 660041, Russian Federation)
  • Fomin E.V. (Department of Transport, Siberian Federal University, 79 prospekt Svobodnyy, Krasnoyarsk, 660041, Russian Federation)
  • Askhabov A.M. (Department of Transport, Siberian Federal University, 79 prospekt Svobodnyy, Krasnoyarsk, 660041, Russian Federation)
  • Kashura A.S. (Department of Transport, Siberian Federal University, 79 prospekt Svobodnyy, Krasnoyarsk, 660041, Russian Federation)

Вхождение в базы данных

  • Scopus

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.