Rapid Assessment of Dynamic Friction Coefficient of Asphalt Pavement Using Reflectance Spectroscopy PROJECT TITLE :Rapid Assessment of Dynamic Friction Coefficient of Asphalt Pavement Using Reflectance SpectroscopyABSTRACT:Mapping road conditions is a vital issue for city and state authorities worldwide. Today, pavement safety is assessed by specific assemblies primarily based on a mechanical wheel device, which is a methodology that's limited in its potential product and operation. In this letter, we examined the possibility of harnessing remote reflectance spectroscopy to predict asphalt's dynamic friction coefficient, thereby enabling the identification and mapping of road conditions. We used a near-infrared analysis technique to guage an artificial neural network prediction model designed to assess the friction coefficient solely from spectral readings. This letter describes the method for extracting such a model and presents promising results with an accuracy of and high significance of between actual and predicted friction values. This model was acquired using nine principal elements and three neurons. The potential of this technology is also discussed. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Multiobjective Dynamic Optimal Power Flow Considering Fuzzy-Based Smart Utilization of Mobile Electric Vehicles Analysis and design of a high-speed permanent magnet characteristic actuator using eddy current effect for high-voltage vacuum circuit breaker
