This work introduces the laboratory equipment and tests performed on the materials and samples of bitumen and asphalt. The results showed that advanced technology includes Remote Sensing (RS) facilities, advanced sensors, modems and data logger systems help the maintenance of asphalt. The intelligent maintenance of asphalt mixtures brings more stability and less fatigue value. This fact indicates that the modified samples were more resistant to shear stress by intelligence maintenance. Also, the results of resilience modulus tests, deformation as well as fatigue tests showed that organic compound was able to improve the properties of asphalt mixtures in all situations. This work also investigated the Geospatial Information System (GIS) as a low-cost, high-precision, and rapid method for identifying fatigue values. Finally, this work showed that (GIS) can be linked to new techniques including Remote Sensing (RS) and the Internet of Things (IoT) which can be serious subjects for future research in the field of pavement engineering.
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Khanal et al. (2022) studied this question.
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