Method to evaluate performance of measurement equipment in automated vehicle traffic control systems
Ravil Safiullin, Vitaly Fedotov, Alexey Marusin
Abstract
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.