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Research on Sensors for Transportation Control Systems

Įvykio data: 
Penktadienis, Vasario 9, 2018 - 12:00

Author, Institution: Mindaugas Čepėnas, Kaunas University of Technology

Science Area, Field of Science: Technological Sciences, Electrical and Electronic Engineering – 01T

Summary of the Doctoral Thesis: Summary

Scientific Supervisor: Prof. Dr. Vytautas Markevičius (Kaunas University of Technology, Technology Sciences, Electrical and Electronics Engineering - 01T).



Dissertation Defence Board of Electrical and Electronics Engineering Science Field:

Prof. Dr. Vaidotas Marozas (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering – 01T) – chairman;

Prof. Dr. Liudas Mažeika (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering – 01T);

Prof. Dr. Jurij Novickij (Vilnius Gediminas Technical University, technologijo,Technological Sciences, Electrical and Electronics Engineering – 01T);

Assoc. Prof. Dr. Habil. Krzysztof Okarma (West Pomeranian University of Technology, Technological Sciences, Electrical and Electronics Engineering – 01T);

Prof. Dr. Darius Viržonis (Kaunas University of Technology, Technological Sciences, Electrical and Electronics Engineering – 01T).

The doctoral dissertation is available on the internet and at the library of Kaunas University of Technology (K. Donelaičio g. 20,Kaunas)

Annotation:

The shortcomings of detection methods currently on the market has resulted in an absence of uncovered vehicle parking lots where car detection sensors would be installed. The introduced magnetic field measurement method using magneto-resistive sensors is universal and can be used in both covered and uncovered parking lots, hence increasing the control of parking places. In addition, sensors with more advanced technical parameters compared to the existing ones were presented. Their resistance to disturbance, weather conditions and practical recommendations regarding installation of the systems with the mentioned sensors were investigated and delivered. The supplied practical magnetic field analysis data allows to estimate the efficiency of the system based on the mentioned method. The models for electromagnetic disturbances and the means of transportation detection were derived in Matlab and ComsolMultiphysics, which can be used later for designing and improving other transport detection systems with magnetic sensors.

A prototype of vehicle detection sensor to be used in the transportation control system was designed, produced and applied for the study needs.