Enhanced Operating Speed Prediction Models for Horizontal Curves on Non-Urban Two-Lane Roads: A Case Study from South India

International Journal of Civil Engineering

© 2025 by SSRG - IJCE Journal

Volume 12 Issue 5

Year of Publication : 2025

Authors : Neena M Joseph, Hari Krishna M, Anjaneyulu M.V.L.R.

10.14445/23488352/IJCE-V12I5P101

How to Cite?

Neena M Joseph, Hari Krishna M, Anjaneyulu M.V.L.R., "Enhanced Operating Speed Prediction Models for Horizontal Curves on Non-Urban Two-Lane Roads: A Case Study from South India," SSRG International Journal of Civil Engineering, vol. 12,  no. 5, pp. 1-10, 2025. Crossref, https://doi.org/10.14445/23488352/IJCE-V12I5P101

Abstract:

The inconsistency in geometric parameters of road alignment significantly influences individual vehicle speeds, contributing to increased crash occurrences. The lack of uniformity and accuracy in existing operating speed models has led to improper selection of geometric parameters, impacting road design consistency and vehicle operating speed. Furthermore, current models are limited to passenger cars and often consider only a narrow set of geometric variables.

This study addresses the limitations of poor accuracy and uniformity in existing models by including all types of vehicles and incorporating a comprehensive range of geometric variables influencing speed. Traffic data from 261 curves and 261 tangents are used to develop refined speed prediction models. A mixed-effect modelling approach is employed to account for the clustered complexity of the model variables. The proposed mixed-effect models account for the heterogeneous nature of traffic conditions in India. These models demonstrate the ability to compute operating speeds with high accuracy, especially when compared to existing models developed under homogeneous traffic conditions with limited data. By considering a broader range of vehicles and geometric variables, this work aims to contribute to more reliable and applicable operating speed models for diverse traffic scenarios.

Keywords:

Horizontal curves, Operating speed models, Clustering, Speed data, Mixed effect models.

References:

[1] Huafeng Gong, and Nikiforos Stamatiadis, “Operating Speed Prediction Models for Horizontal Curves on Rural Four-Lane Highways,” Transportation Research Record: Journal of the Transportation Research Board, vol. 2075, no. 1, pp. 1-7, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Muhammad Ashraf Javid, and Arwa Faris Ahmad Al-Roushdi, “Causal Factors of Driver’s Speeding Behaviour, a Case Study in Oman: Role of Norms, Personality, and Exposure Aspects,” International Journal of Civil Engineering, vol. 17, pp. 1409-1419, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[3] John C. Glennon, “Effect of Alignment on Highway Safety,” Transportation Research Board, National Research Council, Report, Washington, DC, USA, pp. 48-63, 1987.
[Google Scholar] [Publisher Link]
[4] Federal Highway Administration, “Low-Cost Treatments of Horizontal Curve Safety,” U.S. Department of Transportation, Report, pp. 1-95, 2006.
[Google Scholar] [Publisher Link]
[5] David Harris Solomon, “Accidents on Main Rural Highways Related to Speed, Driver, and Vehicle,” U.S. Department of Commerce, Bureau of Public Roads, pp. 1-44, 1964.
[Google Scholar]
[6] N.S. Srinivasan, “Effect of Roadway Elements and Environment on Road Safety,” Journal of the Institution of Engineers, vol. 63, no. 1, pp. 37-43, 1982.
[Google Scholar]
[7] Paolo Perco, “Influence of the General Character of Horizontal Alignment on Operating Speed of Two-Lane Rural Roads,” Transportation Research Record: Journal of the Transportation Research Board, vol. 2075, no. 1, pp. 16-23, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Anitha Jacob, and M. V. L. R. Anjaneyulu, “Operating Speed of Different Classes of Vehicles at Horizontal Curves on Two-Lane Rural Highways,” Journal of Transportation Engineering, vol. 139, no. 3, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Kay Fitzpatrick et al., “Design Factors that Affect Driver Speed on Suburban Arterials,” FHWA/TX-00/1769-3, Texas Transportation Institute, Technical Report, pp. 1-164, 2000.
[Google Scholar] [Publisher Link]
[10] M. Islam and P. Seneviratne, “Evaluation of Design Consistency of Two-lane Rural Highways,” Institute of Transportation Engineers, vol. 64, no. 2, pp. 28-31, 1994.
[Google Scholar]
[11] R.A. Krammes et al., “Horizontal Alignment Design Consistency for Rural Two-Lane Highways,” FHWA-RD-94-034, Federal Highway Administration, Report, U.S. Department of Transportation, pp. 1-127, 1995.
[Google Scholar] [Publisher Link]
[12] R. Luque, and M. Castro, “Highway Geometric Design Consistency Speed Models and Local or Global Assessment,” International Journal of Civil Engineering, vol. 14, pp. 347-355, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Gaetano Bosurgi, Nicola Bongiorno, and Orazio Pellegrino, “A Nonlinear Model to Predict Drivers’ Track Paths Along a Curve,” International Journal of Civil Engineering, vol. 14, pp. 271-280, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Ruediger Lamm, and Elias M. Choueiri, “Recommendations for Evaluating Horizontal Alignment Design Consistency based on Investigations in the State of New York,” Transportation Research Record, vol. 1122, pp. 68-78, 1987.
[Google Scholar] [Publisher Link]
[15] Ruediger Lamm, Elias M. Choueiri, and Theodor Mailaender “Comparison of Operating Speeds on Dry and Wet Pavements of Two-lane Rural Highways,” Transportation Research Record, vol. 1280, pp. 199-207, 1990.
[Google Scholar] [Publisher Link]
[16] Anthony P. Voigt, and Raymond A. Krammes, “An Operational and Safety Evaluation of Alternative Horizontal Curve Design Approaches on Rural Two-lane Highways,” Transportation Research Circular, vol. 11, pp. 1-8, 1998.
[Google Scholar] [Publisher Link]
[17] Rizwan A. Memon, G.B. Khaskheli, and A. Sami Qureshi, “Operating Speed Models for Two-lane Rural Roads in Pakistan,” Canadian Journal of Civil Engineering, vol. 35, no. 5, pp. 443-453, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[18] G. Kenellaidis, J. Golias, and S. Efstathiadis, “Driver’s Speed Behavior on Rural Road Curves,” Traffic Engineering Control, vol. 31, no. 7-8, pp. 414-415, 1990.
[Google Scholar]
[19] Transportation Research Circular E-C151, “Modeling Operating Speeds: Synthesis Report,” Transportation Research Board of the National Academies, Report, pp. 1-126, 2011.
[Google Scholar] [Publisher Link]
[20] Joseph P. Tarris et al., “Predicting Operating Speeds on Low-Speed Urban Streets: Regression and Panel Analysis Approaches,” Transportation Research Record: Journal of the Transportation Research Board, vol. 1523, no. 1, pp. 46-54, 1996.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Eric J. Fitzsimmons et al., “Determining Vehicle Operating Speed and Lateral Position Along Horizontal Curves Using Linear Mixed-Effects Models,” Traffic Injury Prevention, vol. 14, no. 3, pp. 309-321, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Jun Wang, “Operating Speed Models for Low-speed Urban Environments based on In-vehicle GPS Data,” Thesis, Doctor of Philosophy in Civil Engineering, Georgia Institute of Technology, pp. 1-24, 2006.
[Google Scholar] [Publisher Link]
[23] “TIRTL V3 Firmware User Manual,” CEOS Industrial Pty. Ltd., Report, pp. 1-62, 2014.
[Publisher Link]
[24] Y. Hassan and S.M. Easa, “Modeling of Required Preview Sight Distance,” Journal of Transportation Engineering, vol. 126, no. 1, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Manju Kaushik, and Bhawana Mathur, “Comparative Study of K-means and Hierarchical Clustering Techniques,” International Journal of Software & Hardware Research in Engineering, vol. 2, no. 6, pp. 93-98, 2014.
[Google Scholar] [Publisher Link]
[26] Kay Fitzpatrick, William H. Schneider, and Eun Sug Park, “Comparisons of Crashes on Rural Two-lane and Four-lane Highways in Texas,” Texas Transportation Institute, Report, FHWA/TX-06/0-4618-1, pp. 1-156, 2005.
[Google Scholar] [Publisher Link]
[27] Douglas M. Bates, Lme4: Mixed-Effects Modeling with R, Springer, pp. 1-129, 2005.
[Google Scholar] [Publisher Link]
[28] Leonard Kaufman, and Peter J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, Wiley, pp. 1-342, 1990.
[Google Scholar] [Publisher Link]
[29] Peter J. Rousseeuw, “Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis,” Journal of Computational and Applied Mathematics, vol. 20, pp. 53-65, 1987.
[CrossRef] [Google Scholar] [Publisher Link]
[30] J. MacQueen, “Some Methods for Classification and Analysis of Multivariate Observations,” Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, vol. 1, pp. 281-297, 1967.
[Google Scholar] [Publisher Link]
[31] Hamid Shirmohammadi, Farhad Hadadi, and Moatasem Saeedian, “Clustering Analysis of Drivers based on Behavioral Characteristics Regarding Road Safety,” International Journal of Civil Engineering, vol. 17, pp. 1327-1340, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Nejdet Dogru, and Abdulhamit Subasi, “Comparison of Clustering Techniques for Traffic Accident Detection,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 23, pp. 2124-2137, 2015.
[Google Scholar] [Publisher Link]
[33] “Geometric Design Standards for Rural (Non-urban) Highways,” The Indian Road Congress, Report, IRC-73, pp. 1-38, 1980.
[Google Scholar] [Publisher Link]
[34] Simon Washington et al., Statistical and Econometric Methods for Transportation Data Analysis, 3rd ed., CRC Press, pp. 1-496, 2020.
[Google Scholar] [Publisher Link]
[35] Ruediger Lamm et al., “Possible Design Procedure to Promote Design Consistency in Highway Geometric Design on Two-lane Rural Roads,” Transportation Research Record, vol. 1195, pp. 111-122, 1988.
[Google Scholar] [Publisher Link]
[36] Ashish Dhamaniya, and Satish Chandra, “Influence of Operating Speed on Capacity of Urban Arterial Midblock Sections,” International Journal of Civil Engineering, vol. 15, pp. 1053-1062, 2017.
[CrossRef] [Google Scholar] [Publisher Link]