| Title |
Transporto srauto parametrų nustatymas panaudojant kelio dangoje integruotus jutiklius / |
| Translation of Title |
Traffic flow parameters identification using intrusive road sensors. |
| Authors |
Balamutas, Juozas |
| Full Text |
|
| Pages |
55 |
| Keywords [eng] |
vehicle length estimation ; vehicle classification ; magnetic signature ; vehicle vibration analysis |
| Abstract [eng] |
Master thesis main objective is test road intrusive sensors signals ant various methods for vehicle parameter evaluation. Magnetic and seismic signals are used from stationary and moving vehicles. First part of this work is dedicated for literature review. Available intrusive sensors and their usage possibilities, advantages and disadvantages are compared. Methods for vehicle speed, length calculation using magnetic sensors are compared. Second part is for hardware overview. Used sensors and signal conditioning algorithms are presented. In third part different vehicle length calculation error decrease methods are evaluated. Also influence of vehicle speed and signature complexion is discussed. Fourth part is for seismic sensor signal analysis and usage possibilities. Signals are tested then different vehicles are moving and stationary. Time and frequency signal analysis is conducted. Fifth part is for machine learning using only magnetic sensor data. Classification errors using seismic signals and magnetic signals are compared. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2020 |
