Determining highway slope ratio using a method based on slope angle calculation

Year 2021, , 98 - 103, 01.07.2021

Osman Salih Yılmaz , Gülgün Özkan Fatih Gülgen

https://doi.org/10.26833/ijeg.704317

Cited By: 3

Abstract

Geographic Information System (GIS) is a vital tool used in numerous areas related to natural science and engineering studies. Managing complex data and obtaining accurate results from the analysis are essential functions of GIS. It is also efficiently used in highway designing both in project and application phases. This study proposes a new calculation method of slope angles to determine the suitable slope modal of a road by using topographic and geological datasets in a GIS environment. Using this method in the preparation phase of the project enables a more accurate calculation of earthwork volume. The proposed method was applied to a highway to prove this idea. The selected road is a significant tertiary of which project was completed by the Turkish General Directorate of Highways. In this study, the calculated values of the project were considered as references. Comparing both results obtained from the proposed method and application project, the accuracy of the slope modal of the proposed method is 71%, and the accuracy of its earthwork volume is 99%. The proposed approach will enable project managers and designers to determine more reliable earthwork volume during project feasibility studies without any application in the field.

Keywords

Geographic Information Systems (GIS), Highway construction, Stability analysis, Slope ratio, Slope angle

References

• Abramson L W, Lee T S, Sharma S & Boyce G M (2001). Slope stability and stabilization methods. John Wiley & Sons. ISBN: 978-0471384939
• Aissi H, Chakhar S & Mousseau V (2012). GIS-based multicriteria evaluation approach for corridor siting. Environment and Planning B: Planning and Design, 39(2), 287–307. DOI: 10.1068/b37085
• Berry J K (2000). Analyzing accumulation surfaces. Map Analysis: Procedures and Applications in GIS Modelling Technical Report. Berry and Associates//Spatial Informations Systems Inc.
• Chang K T (2016). Introduction to geographical information systems. 8th edition. McGraw Hill. New York, USA.
• Chew E P, Goh C J & Fwa T F (1989). Simultaneous optimization of horizontal and vertical alignments for highways. Transportation Research Part B: Methodological, 23(5), 315–329. DOI: 10.1016/0191-2615(89)90008-8
• Clarke K C (1986). Advances in Geographic information systems. Computers, Environment and Urban Systems, 10, 175-184. DOI: 10.1016/0198-9715(86)90006-2
• Collischonn W & Pilar J V (2000). A direction dependent least-cost-path algorithm for roads and canals. International Journal of Geographical Information Science, 14(4), 397–406. DOI: 10.1080/13658810050024304
• Dijkstra E W (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271.
• Eastman J R (1989). Pushbroom algorithms for calculating distances in raster grids. In Proceedings Autocarto, 9, 288–297.
• Effat H A & Hassan O A (2013). Designing and evaluation of three alternatives highway routes using the Analytical Hierarchy Process and the least-cost path analysis, application in Sinai Peninsula, Egypt. The Egyptian Journal of Remote Sensing and Space Sciences, 16(2), 141–151. DOI: 10.1016/j.ejrs.2013.08.001
• Goodchild M F (2009). Geographic Information System. Encyclopedia of Database Systems. Springer, Boston, MA: Springer US.
• Gülgen F & Gökgöz T (2010). A new algorithm for extraction of continuous channel networks without problematic parallels from hydrologically corrected DEMs. Boletim de Ciências Geodésicas, 16(1), 20–38.
• Hoek E (1970). Estimating the stability of excavated slopes in opencast mines. Institution of Mining and Metallurgy A, 105, A132.
• Hutchinson M F (1989). A new procedure for gridding elevation and stream line data with automatic removal of spurious pits. Journal of Hydrology, 106(3–4), 211–232. DOI: 10.1016/0022-1694(89)90073-5
• Jha M K & Kim E (2006). Highway route optimization based on accessibility, proximity, and land-use changes. Journal of Transportation Engineering-Asce, 132(5), 435–439.
• Jha M K & Schonfeld P (2000a). Geographic Information System-Based Analysis of Right-of-Way Cost for Highway Optimization. Transportation Research Record, 1719(1), 241–249. DOI: 10.3141/1719-32
• Jha M K & Schonfeld P (2000b). Integrating genetic algorithms and geographic information system to optimize highway alignments. Transportation Research Record, 1719(1), 233–240. DOI: 10.3141/1719-31
• Jha M K & Schonfeld P (2003). Trade-offs Between Initial and Maintenance Costs of Highways in Cross-Slopes. Journal of Infrastructure Systems, 9(1), 16–25.
• Jha M K & Schonfeld P (2004). A highway alignment optimization model using geographic information systems. Transportation Research Part A: Policy and Practice, 38(6), 455–481. DOI: 10.1016/j.tra.2004.04.001
• Jha M K (2001a). Using a geographic information system for automated decision making in highway cost analysis. Transportation Research Record, 1768(1), 260–267. DOI: 10.3141/1768-30
• Jha M K, McCall C & Schonfeld P (2001b). Using GIS, genetic algorithms, and visualization in highway development. Computer-Aided Civil and Infrastructure Engineering, 16(6), 399–414.
• Jong J C & Schonfeld P (2003). An evolutionary model for simultaneously optimizing three-dimensional highway alignments. Transportation Research Part B: Methodological, 37(2), 107–128. DOI: 10.1016/S0191-2615(01)00047-9
• Jong J C (1998). Optimizing highway alignments with genetic algorithms. PhD Thesis. University of Maryland, College Park.
• Jong J C, Jha M K & Schonfeld P (2000). Preliminary highway design with genetic algorithms and geographic information systems. Computer-Aided Civil and Infrastructure Engineering, 15(4), 261-271.
• Kang M W, Jha M K & Schonfeld P (2012). Applicability of highway alignment optimization models. Transportation Research Part C: Emerging Technologies, 21(1), 257–286. DOI: 10.1016/j.trc.2011.09.006
• Kang M W, Schonfeld P & Yang N (2009). Prescreening and repairing in a genetic algorithm for highway alignment optimization. Computer-Aided Civil and Infrastructure Engineering, 24(2), 109–119.
• Kim E, Jha M K & Son B (2005). Improving the computational efficiency of highway alignment optimization models through a stepwise genetic algorithms approach. Transportation Research Part B: Methodological, 39(4), 339–360. DOI: 10.1016/j.trb.2004.06.001
• Kim E, Jha M K, Lovell D J & Schonfeld P (2004). Intersection modeling for highway alignment optimization. Computer-Aided Civil and Infrastructure Engineering, 19(2), 119–129.
• Lombard K & Church R L (1993). The gateway shortest path problem: generating alternative routes for a corridor location problem. Geographical Systems, 1, 25–45.
• Luettinger J & Clark T (2005). Geographic information system-based pipeline route selection process. Journal of Water Resources Planning and Management, 131(3), 193–200.
• Mohtarami E, Jafari A & Amini M (2014). Stability analysis of slopes against combined circular-toppling failure. International Journal of Rock Mechanics and Mining Sciences, 67, 43–56. DOI: 10.1016/j.ijrmms.2013.12.020
• Nelson A, Reuter H I & Gessler P (2009). DEM production methods and sources. Developments in Soil Science, 33, 65–85. DOI: 10.1016/S0166-2481(08)00003-2
• OECD (1973). Optimisation of Road Alignment by the Use of Computers. Organisation for Economic Co-operation and Development. ISBN: 978-9264111066
• Park H J, Lee J H, Kim K M & Um J G (2016). Assessment of rock slope stability using GIS-based probabilistic kinematic analysis. Engineering Geology, 203, 56–69. DOI: 10.1016/j.enggeo.2015.08.021
• Raghuvanshi T K (2019). Plane failure in rock slopes - A review on stability analysis techniques. Journal of King Saud University - Science, 31(1), 101–109. DOI: 10.1016/j.jksus.2017.06.004
• Ramírez-Rosado I J, Fernández-Jiménez L A, García-Garrido E, Zorzano-Santamaria P, Zorzano-Alba E, Miranda V & Monteiro C (2005). Advanced model for expansion of natural gas distribution networks based on geographic information systems. Analysis (Cell Size), 468(067), 280.
• Sadek S, Kaysi I & Bedran M (2000). Geotechnical and environmental considerations in highway layouts: An integrated GIS assessment approach. International Journal of Applied Earth Observation and Geoinformation, 2(3–4), 190–198. DOI: 10.1016/S0303-2434(00)85013-8
• Sjöberg J (1999). Analysis of large scale rock slopes. PHD Thesis, Luleå tekniska universitet, Sweden.
• Tomlin C D (1990). Geographic information systems and cartographic modeling. Prentice Hal, New Jersey, US. ISBN 0-13-350927-3
• Wyllie D C & Mah C W (2005) Rock Slope Engineering. 5th edition. Taylor&Francis, New York, USA. ISBN: 0-203-57083-9