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 |
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| Přispěvatelé: | MDPI AG (Basel, Switzerland) |
| Rok vydání: | 2021 |
| Předmět: |
Hazard (logic)
Automobile Driving Computer science Real-time computing 3327 Tecnología de Los Sistemas de Transporte road traffic monitoring TP1-1185 Accelerometer Biochemistry vehicle speed estimation Article Analytical Chemistry Physical Phenomena Magnetics triple-axis accelerometer Electrical and Electronic Engineering Instrumentation Intelligent transportation system AMR type magnetic field sensor Cross-correlation Chemical technology Magnetic Phenomena cross-correlation Traffic flow Atomic and Molecular Physics and Optics Signature (logic) Magnetic field threshold based method vehicle length estimation Key (cryptography) 3325 Tecnología de las Telecomunicaciones 3317.10 Ingeniería del Tráfico Algorithms |
| 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 |
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