Interpretation of the Magnetic Field Signals Emitted by Encoded Asphalt Pavement Materials

Paulina Leiva-Padilla, Fernando Moreno-Navarro, Guillermo Iglesias and Carmen Rubio-Gamez Mª
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Paulina Leiva-Padilla: Laboratory of Construction Engineering, University of Granada (LabIC.UGR), 18071 Granada, Spain
Fernando Moreno-Navarro: Laboratory of Construction Engineering, University of Granada (LabIC.UGR), 18071 Granada, Spain
Guillermo Iglesias: Department of Applied Physics, University of Granada, 18071 Granada, Spain
Carmen Rubio-Gamez Mª: Laboratory of Construction Engineering, University of Granada (LabIC.UGR), 18071 Granada, Spain

Sustainability, 2020, vol. 12, issue 18, 1-11

Abstract: Asphalt materials modified with different types and dosages of magnetically responsive materials can emit patterns of magnetic signals easily detectable by magnetic field sensors. These patterns could be used to encode roads and improve infrastructure-to-vehicle (I2V)/road-to-vehicle (R2V) communications. In this sense, this paper presents a laboratory study addressed to analyze the magnetic field signals emitted by encoded asphalt specimens manufactured with various dosages of steel fibers. The analysis consisted in the evaluation of the influence of three parameters: (1) the height of placement of the magnetic field sensors, (2) the approach speed of the encoded specimen/vehicle and (3) the distance from signal detection. Results show that, for each one of the parameters evaluated, there is a limit value below which it is possible to work with the magnetic signal emitted by the encoded samples. A proof of concept was used to validate the results obtained.

Keywords: encoded asphalt materials; smart roads; road-to-vehicle; infrastructure-to-vehicle (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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