Research of Distorted Vehicle Magnetic Signatures Recognitions, for Length Estimation in Real Traffic Conditions

Autor: Inigo Cuinas, Dangirutis Navikas, Donatas Miklusis, Darius Andriukaitis, Algimantas Valinevicius, Vytautas Markevicius, Juozas Balamutas, Mindaugas Cepenas, Dardan Klimenta, Mindaugas Zilys
Přispěvatelé: MDPI AG (Basel, Switzerland)
Rok vydání: 2021
Předmět:
Zdroj: Sensors (Basel, Switzerland)
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Sensors; Volume 21; Issue 23; Pages: 7872
Sensors, Vol 21, Iss 7872, p 7872 (2021)
ISSN: 1424-8220
Popis: Reliable cost-effective traffic monitoring stations are a key component of intelligent transportation systems (ITS). While modern surveillance camera systems provide a high amount of data, due to high installation price or invasion of drivers’ personal privacy, they are not the right technology. Therefore, in this paper we introduce a traffic flow parameterization system, using a built-in pavement sensing hub of a pair of AMR (anisotropic magneto resistance) magnetic field and MEMS (micro-electromechanical system) accelerometer sensors. In comparison with inductive loops, AMR magnetic sensors are significantly cheaper, have lower installation price and cause less intrusion to the road. The developed system uses magnetic signature to estimate vehicle speed and length. While speed is obtained from the cross-correlation method, a novel vehicle length estimation algorithm based on characterization of the derivative of magnetic signature is presented. The influence of signature filtering, derivative step and threshold parameter on estimated length is investigated. Further, accelerometer sensors are employed to detect when the wheel of vehicle passes directly over the sensor, which cause distorted magnetic signatures. Results show that even distorted signatures can be used for speed estimation, but it must be treated with a more robust method. The database during the real-word traffic and hazard environmental condition was collected over a 0.5-year period and used for method validation. Lietuvos Mokslo Taryba | Ref. S-MIP-21-34
Databáze: OpenAIRE