Exploring the Use of Smartphone Accelerometer and Gyroscope to Study on the Estimation of Road Surface Roughness Condition

Viengnam Douangphachanh, Hiroyuki Oneyama

2014

Abstract

Smartphones are potentially useful to be adopted as a cost-effective and easy to implement tool for the measurement of road surface roughness condition, which is very essential for road monitoring and maintenance planning. In this study, an experiment has been carried out to collect data from accelerometers and gyroscopes on smartphones, which are placed at different locations inside vehicles running on road sections with different roughness conditions. The collected data is processed in the frequency domain to calculate magnitudes of the vibration. It has been revealed that at the considered frequency range of 40-50Hz, there is a very strong relationship between road roughness condition and the magnitudes of vibration, calculated from each axis of the accelerometers and gyroscopes; as well as the average speed. Road roughness condition that is modelled as a linear function of the vibration magnitudes, taking into account of both data from accelerometer and gyroscope as well as the average speed, achieves better estimation than the model that takes into account the magnitude from the accelerometer and the average speed alone. The finding is potentially significant for the development of a more accurate model and a better smartphone app to estimate road roughness condition from smartphone sensors.

References

  1. AndroSensor, 2012. [Smartphone App]. Google Play Store. Available at: https:// play.google.com/store/ apps/details?id=com.fivasim.androsensor&hl=en.
  2. BumpRecorder, 2013. [Smartphone App]. http:// www.bumprecorder.com/ [Accessed 15 July 2013]
  3. Douangphachanh, V., Oneyama, H., 2013a. A Study on the Use of Smartphones for Road Roughness Condition Estimation, Proc. Of the Eastern Asia Society for Transportation Studies, P297, Vol.9, 2013; and J. Eastern Asia Society for Transport Studies, Vol. 10, 1551-1564.
  4. Douangphachanh, V., Oneyama, H., 2013b. Using Smartphones to Estimate Road Pavement Condition, Paper presented at the 1st International Symposium for Next Generation Infrastructure, Wollongong, NSW, Australia, October 1-4.
  5. Douangphachanh V., Oneyama, H., 2013c. Estimation of Road Roughness Condition from Smartphones under Realistic Settings, Proc. Of the 13th International Conference on ITS Telecommunication (ITST), pp. 433-439.
  6. Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H., 2008. The pothole patrol: using a mobile sensor network for road surface monitoring, Paper presented at the Sixth International Conference on Mobile System, Applications and Services, Breckenridge, Colorado, United States, June 17-20.
  7. González, A., O'brien, E. J., Li ,Y. Y., Cashell, K., 2008. The use of vehicle acceleration measurements to estimate road roughness. Vehicle System Dynamics, 46(6), 483-499.
  8. Mednis, A., Strazdins, G., Zviedris, R., Kanonirs, G., Selavo, L., 2011. Real time pothole detection using Android smartphones with accelerometers, Paper presented at the 2011 International Conference on Distributed Computing in Sensor Systems, Barcelona, Spain, June 27-29.
  9. Mohan, P., Padmanabhan, V.N., Ramjee, R., 2008. Nericell: Rich Monitoring of Road and Traffic Condition using Mobile Smartphones. Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, 323-336.
  10. Perttunen, M., Mazhelis, O., Cong, F., Kauppila, M., Leppänen, T., Kantola, J., Collin J., Pirttikangas, S., Haverinen, J., Ristaniemi, T., 2011. Distributed road surface condition monitoring using mobile phones. Ubiquitous Intelligence and Computing, 64-78.
  11. Roadroid. 2014. [Smartphone App]. http:// www.roadroid.se/ [Accessed 9 December 2013]
  12. Sayer, M. W., Gillespie, T. D., Queiros, C. A. V., 1986. International Road Roughness Experiment. The World Bank. Available at: http://deepblue.lib.umich.edu/
  13. bitstream/handle/2027.42/3134/72773.pdf;jsessionid=2D5 5BF'AABCA31452E6A59CD28D17C1?sequence=2 [Accessed 12 September 2012]
  14. Strazdins, G., Mednis, A., Kanonirs, G., Zviedris, R., Selavo, L., 2011. Towards Vehicular Sensor Networks with Android Smartphones for Road Surface Monitoring, Paper presented at the 2nd International Workshop on Networks of Cooperating Objects, Chicago, USA, April 11.
  15. Tai, Y., Chan, C., Hsu, J. Y., 2010. Automatic road anomaly detection using smart mobile device, Paper presented at the 2010 Conference on Technologies and Applications of Artificial Intelligence, Hsinchu, Taiwan, November 18-20.
  16. VIMS., 2012a. Vehicle Intelligent Monitoring System, Bridge and Structure Laboratory, the University of Tokyo, Japan.
  17. VIMS., 2012b. VIMS Manual, VIMS Consortium, Nagasaki University, Japan.
Download


Paper Citation


in Harvard Style

Douangphachanh V. and Oneyama H. (2014). Exploring the Use of Smartphone Accelerometer and Gyroscope to Study on the Estimation of Road Surface Roughness Condition . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 783-787. DOI: 10.5220/0005117407830787


in Bibtex Style

@conference{icinco14,
author={Viengnam Douangphachanh and Hiroyuki Oneyama},
title={Exploring the Use of Smartphone Accelerometer and Gyroscope to Study on the Estimation of Road Surface Roughness Condition},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={783-787},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005117407830787},
isbn={978-989-758-039-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Exploring the Use of Smartphone Accelerometer and Gyroscope to Study on the Estimation of Road Surface Roughness Condition
SN - 978-989-758-039-0
AU - Douangphachanh V.
AU - Oneyama H.
PY - 2014
SP - 783
EP - 787
DO - 10.5220/0005117407830787