(1) data collection cost is as low as possible, (2) data analysis can be completed in a short time, (3) data collection satisfies the requirement that data collection is not affected by the speed of other vehicles, especially busy roads The requirements are as follows. [2] Pavement surface distress measurements are an important part of PMS to determine cost-effective maintenance and recovery strategies. The field survey conducted by field engineers is still the most widely used method of pavement inspection and evaluation, but these assessments include high subjectivity, dangerous exposure and low yield.
Pavement performance measurements are determined by the Highway Performance Monitoring System (HPMS) Road Data Element. These data elements (or metrics) are collected in increments of 0.1 mile and are compared with the threshold to establish the score for each data element. The overall condition of a 0.1 mile increment is determined by various fraction combinations based on the type of pavement (asphalt pavement, joint concrete pavement or continuous reinforced concrete pavement). Finally, the state of each 0.1 mile segment was evaluated by NHS to determine the road surface condition measurements shown in Table 1. Specific paving data elements include 3:
Superpave is an acronym for Superior Performing Asphalt Pavements. It is the result of a strategic highway research program. Superpave contains a new mixed design and analysis system based on pavement performance characteristics. This is a multifaceted system that uses a layered approach to design asphalt mixtures based on the desired performance. Superpave contains old rule of thumb and several new mechanism based functions. Super-Pave hybrid design system is rapidly becoming a standard system used in the United States. The United States is looking for a new system to overcome road problems such as raccoons and cold cracks that are common when designing systems such as Marshall and Hveem. Super paving systems provide a solution to these problems in a reasonable way.
This project focuses on various laser methods based on the latest microcontroller function. The method performed by this system is based on its ability to perform rapid measurements of laser / optical properties. The proposed microcontroller configuration can measure the frequency and amplitude of each cycle of the input signal and the arrival time of each cycle. These measurements are then used to obtain the desired characteristics of the transmitter unit and the receiver unit. In this project, the laser essentially operates at a resonant frequency of 1163.7 Hz (1.163 kHz).