Evaluating Pavement Roughness Based on Vibration Analysis Due to Road Health Monitoring System

Document Type : Research Article

Authors

1 School of Civil and Environmental Engineering, Road and Transportation Engineering, AmirKabir University of Technology, Tehran, Iran

2 Transportation group, Civil dept, AUT

3 MSc Student, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

4 Electrical Eng Faculty, amirkabir University of Technology

5 Assistant Professor, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract

The implementation of an efficient pavement management system is dependent on the acquiring desired information from the pavement condition. The automatic data collection is welcomed by mechanized systems due to adequate precision and speed. However, the various systems are developed that have high construction and operation costs. Therefore, the development of cost-effective devices that is independent from the vehicle vibrations and equipped with instrumentation is necessary. In this study, the health monitoring system is developed as a system of longitudinal profile measurement and road roughness evaluation based on response-type vehicle with applying the accelerometers, distance meter, geographical positioning system. Upon harvesting of the vibration response of the health monitoring system and the vehicle, data preparation and signal filtration are performed through the digital signal processing techniques. Therefore, the dynamic equations governing on the behavior of the health monitoring system are derived based on one degree of freedom. The dynamic parameters of system are extracted based on optimization approach using the genetic algorithm and the particle swarm optimization algorithm. Afterwards, the extracted longitudinal profile based on the vibration responses is became to the longitudinal profile with the specific speed by the developed algorithm which is set by the relationship between speed and frequency of harvested data. Then, the International Roughness Index is calculated from the longitudinal profile of the studied pathway by ProVal software. Accuracy of the health monitoring system results is validated by manual method with measuring of the error percentage average and the root mean square error normalized between the outputs of the system and the Road Surface Profiler with values of 19.72% and 9.68% respectively. Finally, evaluation of the repeatability and the obtained results from the validation output indicates accuracy and significant quality of the road health monitoring system.

Keywords


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