Open AccessMulticriteria optimization in the study of active vehicle safety.
Author(s) -
A. I. Markovnina,
Vladimir Makarov,
V. V. Belyakov
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/695/1/012015
Subject(s) - installation , profitability index , active safety , advanced driver assistance systems , variety (cybernetics) , risk analysis (engineering) , transport engineering , task (project management) , computer science , field (mathematics) , system safety , road traffic safety , intelligent transportation system , engineering , road traffic , automotive engineering , reliability engineering , systems engineering , business , artificial intelligence , mathematics , finance , operating system , pure mathematics
Ensuring road safety is a paramount task to be solved by specialists in the field of automobile transport. It affects all aspects of the Driver-Car-Road-Environment system and is aimed at increasing the degree of protection of road users from traffic accidents, at reducing the degree of road traffic injuries and reducing the risk of mortality. Similar functions for ensuring road safety are performed by the active safety systems of the car, including intelligent driver assistance systems and assistants. With all the variety of possibilities of equipping automobiles with complex systems, there is a need to assess the feasibility and profitability of installing a particular complex of systems. For this, it is proposed to apply multi-criteria assessment methods. At the same time, the possibility of multi-parameter optimization according to two or more criteria is considered, respectively, several approaches to solving the problem are described. As a result, a concept is developed that is close to universal, in assessing the active safety systems of a car and intelligent systems.