@article{ref1,
title="Method to evaluate performance of measurement equipment in automated vehicle traffic control systems",
journal="Transportation research procedia",
year="2020",
author="Safiullin, Ravil and Fedotov, Vitaly and Marusin, Alexey",
volume="50",
number="",
pages="20-27",
abstract="The authors develop a unified approach to the substantiation of requirements for the automated traffic control system as a &quot;measurement equipment - identification - vehicle traffic control&quot; 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.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2020.10.003",
url="http://dx.doi.org/10.1016/j.trpro.2020.10.003"
}