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

References

[1]    G. Loprencipe, G. Cantisani, Unified Analysis of Road Pavement Profiles for Evaluation of Surface Characteristics, Modern Applied Science, 7(8) (2013).
[2]    G.P. Ong, S. Noureldin, K. Sinha, Automated Pavement Condition Data Collection Quality Control, Quality Assurance, and Reliability, Purdue University, (2011).
[3]    K. reza kashyzadeh, M.J. Ostad Ahmad Ghorabi, A. Arghavan, Airstrip Roughness Simulation to Dynamic and Vibration Analysis For Take off and Land on, International Journal of Engineering Science and Technology, 3 (2013) 245.
[4]    CR. Bennett and PE. Salt, Evaluation of the ARAN high speed profilometer, N.D. Lea International Ltd. V6G 2T3, Canada, (1994).
[5]    G. Cantisani, G. Loprencipe, Road Roughness and Whole Body Vibration: Evaluation Tools and Comfort Limits, Journal of Transportation Engineering, 136(9) (2010) 818-826.
[6]    O. Kavianipour, M. Montazeri-Gh, M. Moazamizadeh, Road profile measurement using the two degrees of freedom response-type mechanism, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 229(6) (2014) 1074-1087.
[7]    P. Múčka, Road Roughness Limit Values Based on Measured Vehicle Vibration, Journal of Infrastructure Systems, 23(2) (2017) 04016029.
[8]    D.M. Vines-Cavanaugh, M.L. Wang, J.G. McDaniel, Real-world application and validation of vehicle-mounted pavement inspection system, in:  Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2013, SPIE, (2013).
[9]    M. Gdula, J.A. Brache, N.D. Angelini, C. Shevlin, Mapping City Potholes, Worcester Polytechnic Institute, 2006.
[10] N. Abulizi, A. Kawamura, K. Tomiyama, S. Fujita, Measuring and evaluating of road roughness conditions with a compact road profiler and ArcGIS, Journal of Traffic and Transportation Engineering (English Edition), 3(5) (2016) 398-411.
[11] S.-Y. Chen, A. Shih, C.-Y. Hsiao, Road conditions detection using Arduino based sensing module and smartphone, in:  2015 IEEE International Conference on Consumer Electronics - Taiwan, IEEE, (2015) 254-255.
[12] A.R. Maurya, A. Yadav, P. Arote, A. Baviskar, J. Baviskar, Real Time Arduino Based Depth Sensing for Road Condition Monitoring, 4(4) (2016) 947–952.
[13] O. Rajmane, V. Rane, A. Bhosale, Road Condition Detection Using Arduino Based Sensing Module And Android Smartphone-IJAERD, in, (2017) 52–57.
[14] V. Douangphachanh, H. Oneyama, A study on the use of smartphones under realistic settings to estimate road roughness condition, EURASIP Journal on Wireless Communications and Networking, 2014(1) (2014).
[15] A. González, E.J. O'Brien, Y.Y. Li, K. Cashell, The use of vehicle acceleration measurements to estimate road roughness, Vehicle System Dynamics, 46(6) (2008) 483-499.
[16] M. Ahmad, W. Raza, Z. Omer, M. Asif, A Participatory System to Sense the Road Conditions, International Journal of Engineering and Manufacturing, 7(3) (2017) 31-40.
[17] Misc, National Instrument Company, On the WWW, May. URL http://www.ni.com/en-us/shop/labview.
[18] Misc, ARDUINO Software, On the WWW, May. URL http://www.arduino.cc\en\Main Software.
[19] M.M. Gh, S.Y.J. M, M. Soleymani, Vehicle ride evaluation based on a time-domain variable speed driving pattern, International Journal of Vehicle Design, 47(1/2/3/4) (2008) 81.
[20] W.T. Thomson, Theory of Vibration  with Applications, in, CRC Press, (2018).
[21] Practice for Computing International Roughness Index of Roads from Longitudinal Profile Measurements, in, ASTM International E.1926, 14 (1999) 1-18.
[22] M. Sayers, S. Karamihas, The little book of profiling: basic information about measuring and interpreting road profiles, in, 9 (1998) 100.
[23] Misc, ProVAL (Profile Viewing and Analysis) software, On the WWW, May. URL http://www. roadprofile.com\proval-software.
[24] Test Method for Measuring the Longitudinal Profile of Traveled Surfaces with an Accelerometer Established Inertial Profiling Reference, in, ASTM International E950/950M-09,9 (2009) 1135-1140.
Amirkabir Journal of Civil Engineering
Volume 51, Issue 6
January and February 2020
Pages 1277-1296

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