Method to evaluate performance of measurement equipment in automated vehicle traffic control systems

The authors develop a unified approach to the substantiation of requirements for the automated traffic control system as a “measurement equipment - identification - vehicle traffic control” system. Studies show that to establish requirements for vehicle identification systems, it is reasonable to use a method for the substantiation of technical requirements and the evaluation of the performance of measurement equipment in automated vehicle traffic control systems based on multi-criterion optimization consisting in the selection of an optimal solution from a defined area of search. The developed method of the automatic vehicle identification system shows high performance for a detection system in real-time. Most previous papers were based on one method: method of template matching or neural network method, which is ideal for the detection of some types but not suited for the detection of others. © 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
Safiullin R.1 , Fedotov V.2 , Marusin A. 1, 3, 4
Сборник материалов конференции
Издательство
Elsevier B.V.
Язык
Английский
Страницы
20-27
Статус
Опубликовано
Том
50
Год
2020
Организации
  • 1 Saint Petersburg State University of Architecture and Civil Engineering, 4 Vtoraja Krasnoarmejskaja St., Saint Petersburg, 190005, Russian Federation
  • 2 Saint Petersburg Mining University, 2 21st Line of Vasilyevsky Island, Saint Petersburg, 199106, Russian Federation
  • 3 Moscow Automobile and Road Construction State Technical University (MADI), 64 Leningradsky Prosp., Moscow, 125319, Russian Federation
  • 4 Рeoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation
Ключевые слова
Automated vehicle traffic control system; Measurement equipment; Method; Vehicles
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