High accuracy monitoring system to estimate forest road surface degradation on horizontal curves
- 74 Downloads
Well-maintained pavements reduce occurring severe accidents on horizontal curves. For this reason, the monitoring and evaluation of pavement conditions are important. This study evaluates pavement conditions considering volumetric degradation or displacement on 11 horizontal curves in forest roads, depending on meteorological conditions, traffic effects, and curve parameters. Within this context, pavement displacement (degradation) was investigated and measured with terrestrial laser scanning (TLS) for a year on a monthly basis. In this study, two multiple regression models were developed to estimate the degradation values of a forest road. According to model 1, which was developed to estimate the loss volume values, the adjusted R2 was 0.658. For model 2, which was developed to estimate the gain volume values, the adjusted R2 was 0.490. Validations of models were evaluated with different statistical tests. In conclusion, volumetric degradation can be calculated with TLS-based data. Forest road designers should determine horizontal curve characteristics, taking into consideration the pavement degradation and traffic safety.
KeywordsForest road Road deformation Point cloud Traffic Meteorological data Terrestrial laser scanning Surface displacement
This paper is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) with the grant number 214O214.
- Akay, A. O., Akgul, M., & Demir, M. (2018). Determination of temporal changes on forest road pavement with terrestrial laser scanner. Fresenius Environmental Bulletin, 27(3), 1437–1448.Google Scholar
- Akgul, M., Yurtseven, H., Akburak, S., Demir, M., Cigizoglu, H. K., Ozturk, T., Eksi, M., & Akay, A. O. (2017). Short term monitoring of forest road pavement degradation using terrestrial laser scanning. Measurement, 103, 283–293. https://doi.org/10.1016/j.measurement.2017.02.045.CrossRefGoogle Scholar
- Ali, T. A. (2004). On the selection of an interpolation method for creating a terrain model (TM) from LIDAR data. Proceedings of the American Congress on Surveying and Mapping (ACSM) Conference.Google Scholar
- Boghian, V., Apăfăian, A., Bratu, C., & Ignea, G. (2015). A review on degradation factors affecting the forest roads and their prevention. In Proceedings of the Biennial International Symposium. Forest and Sustainable Development, Brașov, Romania, 24–25th October 2014 (pp. 209–214). Transilvania University Press.Google Scholar
- Castagnetti, C., Bertacchini, E., Capra, A., & Dubbini, M. (2012). Terrestrial laser scanning for preserving cultural heritage: analysis of geometric anomalies for ancient structures. Proceedings of the FIG Working Week.Google Scholar
- Chang, K., Chang, J., & Liu, J. (2005). Detection of pavement distresses using 3D laser scanning technology. Computing in Civil Engineering, 1–11. https://doi.org/10.1061/40794(179)103.
- Chaplot, V., Darboux, F., Bourennane, H., Leguédois, S., Silvera, N., & Phachomphon, K. (2006). Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform types and data density. Geomorphology, 77(1), 126–141. https://doi.org/10.1016/j.geomorph.2005.12.010.CrossRefGoogle Scholar
- Ciobanu, V., Alexandru, V., & Săceanu, S. (2012). Degradation forms of forest gravel road roadways under heavy vehicles used in timber transport. Bulletin of the Transilvania University of Brasov, Series II. Forestry, Wood Industry, Agricultural Food Engineering (1).Google Scholar
- Eskioglou, P. (2001). The reduction of the destructive elements of forest road construction projects. Proceedings from the 1st Ecological Protection of the Planet earth Inter. Conference.Google Scholar
- Hutchinson, M. (1996). A locally adaptive approach to the interpolation of digital elevation models. Proceedings, Third International Conference/Workshop on Integrating GIS and Environmental Modeling (pp. 21–26).Google Scholar
- Lee, J., Nam, B., & Abdel-Aty, M. (2015). Effects of pavement surface conditions on traffic crash severity. Journal of Transportation Engineering, 141(10), 04015020. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000785.CrossRefGoogle Scholar
- Li, Z., Zhu, Q., & Gold, C. (2005). Digital terrain modeling: principles and methodology. New York: CRC Press.Google Scholar
- Morgado, J., & Neves, J. (2014). Work zone planning in pavement rehabilitation: integrating cost, duration, and user effects. Journal of Construction Engineering and Management, 140(11), 04014050. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000888.CrossRefGoogle Scholar
- Nasiri, M., & Hojjati, S. M. (2012). Designing geometric specifications of main access road and its effect on pavement rutting. Biological Research, 3(5), 2491–2499.Google Scholar
- Nasiri, M., Hosseini, S. A., Tafazoli, M., & Sohrab, M. (2012). The role of logging operation on rut development in Hyrcanian forest roads. Journal of Applied Biological Sciences, 6(3), 7–11.Google Scholar
- Sheimy, N., Valeo, C., & Habib, A. (2005). Digital terrain modeling: acquisition, manipulation and applications. Artech House, Incorporated.Google Scholar
- Tsai, J. Y.-C., Li, F., & Wu, Y.-C. (2013). A new rutting measurement method using emerging 3D line-laser-imaging system. International Journal of Pavement Research and Technology, 6(5), 667–672. https://doi.org/10.6135/2fijprt.org.tw/2f2013.6(5).667.CrossRefGoogle Scholar
- Wilson, J. P., & Gallant, J. C. (2000). Terrain analysis: principles and applications. New York: Wiley.Google Scholar