A Novel GIS Approach for Locating No-Passing Zones and Assessing Passing Sight Distance on Two-Lane, Two-Way Highways: A Case Study of MO Route 5 in the State of Missouri, USA
On two-lane, two-way highways faster vehicles frequently overtake slower moving vehicles. In order to secure a safe passing maneuver, the passing driver should be able to see a sufficient distance ahead, clear of traffic, to complete the passing maneuver without cutting off the passed vehicle before meeting an opposing vehicle. This is called the minimum recommended passing sight distance ahead, which is considered as an important factor in the marking of passing zones and no-passing zones along two-lane, two-way highways. In this paper, a novel Geographic Information System (GIS)-based viewshed analysis is developed to assess existing passing sight distances on two-lane, two-way highways using the American Association of State Highway and Transportation Officials (AASHTO) criteria. This new approach is extremely beneficial in that passing sight distance can be rapidly estimated for highways over a large geographic extent without using the traditional field methods, such as the two-vehicle method or putting personnel at risk. The developed method was applied to evaluate passing sight distance on Missouri Route-5, a two-lane, two-way highway in the state of Missouri, USA. The results indicate that the developed approach provides a precise assessment of passing sight distance, and effectively locates the passing zones and no-passing zones along the highway.
Cite this paper
Abdulhafedh, A. (2023). A Novel GIS Approach for Locating No-Passing Zones and Assessing Passing Sight Distance on Two-Lane, Two-Way Highways: A Case Study of MO Route 5 in the State of Missouri, USA. Open Access Library Journal, 10, e376. doi: http://dx.doi.org/10.4236/oalib.1110376.
The American Association of State Highway and Transportation Officials (2018) A Policy on Geometric Design of Highways and Streets. 7th Edition, The American Association of State Highway and Transportation Officials, Washington DC.
The American Association of State Highway and Transportation Officials (2011) A policy on geometric design of highways and streets. 6th Edition,The American Association of State Highway and Transportation Officials, Washington, DC.
The American Association of State Highway and Transportation Officials (2004) A policy on geometric design of highways and streets. 5th Edition, The American Association of State Highway and Transportation Officials, Washington, DC.
The American Association of State Highway and Transportation Officials (2001) A policy on geometric design of highways and streets. 4th Edition, The American Association of State Highway and Transportation Officials, Washington, DC.
Abdulhafedh, A. (2020) Highway Stopping Sight Distance, Decision Sight Distance, and Passing Sight Distance Based on AASHTO Models. Open Access Library Journal, 7, e6095. https://doi.org/10.4236/oalib.1106095
Harwood, D.W., Gilmore, D.K., Richard, K.R., Dunn, J.M. and Sun, C. (2007) National Cooperative Highway Research Program Report 605: Passing Sight Distance Criteria. National Cooperative Highway Research Program, Transportation Research Board, Washington DC.
Glennon, J.C. (1998) New and Improved Model of Passing Sight Distance on Two-Lane Highways. Transportation Research Record 1195. Transportation Research Board, National Research Council, Washington DC.
Hassan, Y., Easa, S.M. and Abd El Halim, A.O. (1996) Passing Sight Distance on Two-Lane Highways: Review and Revision. Transportation Research Part A: Policy and Practice, 30, 453-467. https://doi.org/10.1016/0965-8564(95)00032-1
De Floriani, L. and Magillo, P. (1994) Visibility Algorithms on Triangulated Terrain Models. International Journal of Geographical Information Systems, 8, 13-41.
https://doi.org/10.1080/02693799408901985
Polus, A., Livneh, M. and Frischer, B. (2000) Evaluation of the Passing Process on Two Lane Rural Highways. Transportation Research Record, 1701, 53-60.
https://doi.org/10.3141/1701-07
Brown, R.L. and Hummer, J.E. (2000) Determining the Best Method for Measuring No-Passing Zones. Transportation Research Record, 1701, 61-67.
https://doi.org/10.3141/1701-08
Kim, Y., Rana, S. and Wise, S. (2004) Exploring Multiple Viewshed Analysis Using Terrain Features and Optimization Techniques. Computers and Geosciences, 30, 1019-1032. https://doi.org/10.1016/j.cageo.2004.07.008
Abdulhafedh, A. (2019) An Innovative GIS Method for Evaluating the Visibility of the Road Using the ArcMap-Tools. Open Access Library Journal, 6, e5586.
https://doi.org/10.4236/oalib.1105586
Ben-Arieh, D., Chang, S., Rys, M. and Zhang, G. (2004) Geometric Modeling of Highways Using Global Positioning System Data and B-Spline Approximation. Journal of Transportation Engineering, 130, 632-636.
https://doi.org/10.1061/(ASCE)0733-947X(2004)130:5(632)
Nehate, G. and Rys, M. (2006) 3D Calculation of Stopping-Sight Distance from GPS Data. Journal of Transportation Engineering, 132, 691-698.
https://doi.org/10.1061/(ASCE)0733-947X(2006)132:9(691)
Castro, M., Iglesias, L., Rodríguez-Solano, R. and Sánchez, J.A. (2006) Geometric Modelling of Highways Using Global Positioning System (GPS) Data and Spline Approximation. Transportation Research Part C: Emerging Technologies, 14, 233-243. https://doi.org/10.1016/j.trc.2006.06.004
Imran, M., Hassan, Y. and Patterson, D. (2006) GPS-GIS-Based Procedure for Tracking Vehicle Path on Horizontal Alignments. Computer-Aided Civil and Infrastructure Engineering, 21, 383-394. https://doi.org/10.1111/j.1467-8667.2006.00444.x
Cai, H. and Rasdorf, W. (2008) Modeling Road Centerlines and Predicting Lengths in 3-D Using LIDAR Point Cloud and Planimetric Road Centerline Data. Computer Aided Civil and Infrastructure Engineering, 23, 157-173.
https://doi.org/10.1111/j.1467-8667.2008.00518.x
Tsai, Y., Hu, Z. and Wang, Z. (2010) Vision-Based Roadway Geometry Computation. Journal of Transportation Engineering, 136, 223-233.
https://doi.org/10.1061/(ASCE)TE.1943-5436.0000073
Abdulhafedh, A. (2017) Identifying Vehicular Crash High Risk Locations along Highways via Spatial Autocorrelation Indices and Kernel Density Estimation. World Journal of Engineering and Technology, 5, 198-215.
https://doi.org/10.4236/wjet.2017.52016
Shaker, A., Yan, W.Y. and Easa, S. (2011) Construction of Digital 3D Highway Model Using Stereo IKONOS Satellite Imagery. Geocartography International, 26, 49-67. https://doi.org/10.1080/10106049.2010.537785
Azimi, M. and Hawkins, H. (2013) Algorithm for Analyzing Horizontal Sight Distance from Lane Centerline Coordinates. Transportation Research Record, 2358, 12-19. https://doi.org/10.3141/2358-02
Berbel, D.C., Castro, M., Medina, L.C. and Maria, S.P.G. (2014) Sight Distance Studies on Roads: Influence of Digital Elevation Models and Roadside Elements. Procedia-Social and Behavioral Sciences, 160, 449-458.
https://doi.org/10.1016/j.sbspro.2014.12.157
Abdulhafedh, A. (2017) A Novel Hybrid Method for Measuring the Spatial Autocorrelation of Vehicular Crashes: Combining Moran’s Index and Getis-Ord Gi* Statistic. Open Journal of Civil Engineering, 7, 208-221.
https://doi.org/10.4236/ojce.2017.72013
