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Risk Assessment of Horizontal Curves Based on Lateral Acceleration Index: A Driving Simulator-Based Study

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Abstract

This study aims to evaluate the risk level associated with the geometric parameters of two-lane horizontal curves. It is measured using critical average lateral acceleration (\({a}_{c}\)), a new performance index derived from lateral acceleration profile data and representing a normalized lateral acceleration beyond a threshold value. The required data for the study were obtained from a fixed-base driving simulator in which 41 drivers drove through the geometric configurations comprising 26 horizontal curves. The hierarchical clustering analysis provided three risk clusters for \({a}_{c}\) values represented as low-, moderate-, and high-risk events. These risk clusters were analyzed for the geometric parameters, such as radius, design speed, gradient, and preceding tangent length. The cross-tabulation results indicated that the curve radius less than 100 m represented 2–10 times higher crash risk than the curves with a larger radius (> 100 m). The curves on the descending gradient exhibited two times higher risk than the one on the flat and ascending gradient. Further, the decision tree provided design speed and its interaction with gradient and preceding tangent length as the significant parameters to assess risk along curves. Overall, this study establishes the suitability of the newly developed performance parameter as a surrogate safety measure for evaluating the risk associated with different geometric configurations.

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References

  1. MORTH (2016) Road accidents in India 2015. Transp Res Wing Minist Road Transp Highw India. https://morth.nic.in/showfile.asp?lid=2143. Accessed 14 Jan 2017

  2. Lamm R, Guenther AK, Choueiri EM (1995) Safety module for highway geometric design. Transp Res Rec 1512:7–15

    Google Scholar 

  3. Torbic JD, Harwood DW, Gilmore DK et al (2004) A guide for reducing collisions on horizontal curves. Trans Res Board, NCHRP Report 500, Washington D.C.

  4. Said D, Halim A, Hassan Y (2009) Methodology for driver behaviour data collection and analysis for integration in geometric design of highways. In: 4th International symposium on highway geometric design, Valencia, Spain

  5. Choudhari T, Maji A (2019a) Effect of horizontal curve geometry on the maximum speed reduction: a driving simulator-based study. Transp Dev Econ 5:14. https://doi.org/10.1007/s40890-019-0082-8

    Article  Google Scholar 

  6. Bella F (2007) Parameters for evaluation of speed differential: contribution using driving simulator. Transp Res Rec 2023:37–43. https://doi.org/10.3141/2023-05

    Article  Google Scholar 

  7. Choudhari T, Maji A (2017) Miscellaneous study on speed reduction along horizontal alignments of rural highways: a driving simulator based approach for developing countries like India. In: Annual Meeting at Transportation Research Board, pp 17–06699

  8. Misaghi P, Hassan Y (2005) Modeling operating speed and speed differential on two-lane rural roads. J Transp Eng 131:408–418. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:6(408)

    Article  Google Scholar 

  9. Jacob A, Anjaneyulu MVLR (2013) Operating speed of different classes of vehicles at horizontal curves on two-lane rural highways. J Transp Eng 139:287–294. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000503

    Article  Google Scholar 

  10. Sil G, Nama S, Maji A, Maurya AK (2019) Effect of horizontal curve geometry on vehicle speed distribution: a four-lane divided highway study. Transp Lett. https://doi.org/10.1080/19427867.2019.1695562

    Article  Google Scholar 

  11. Fitzpatrick K, Wooldridge MD, Tsimhoni O et al (2000) Alternative design consistency rating methods for two-lane rural highways. Fed Highw Adm No. FHWA-RD-99-172

  12. Choudhari T, Maji A (2019b) Socio-demographic and experience factors affecting drivers’ runoff risk along horizontal curves of two-lane rural highway. J Saf Res 71:1–11. https://doi.org/10.1016/J.JSR.2019.09.013

    Article  Google Scholar 

  13. Wang X, Wang T, Tarko A, Tremont PJ (2015) The influence of combined alignments on lateral acceleration on mountainous freeways: a driving simulator study. Accid Anal Prev 76:110–117. https://doi.org/10.1016/j.aap.2015.01.003

    Article  Google Scholar 

  14. Furtado G, Easa SM, Halim A (2002) Vehicle stability on combined horizontal and vertical alignments. In: Annual conference of the Canadian society for civil engineering, Canada, pp 167–176

  15. Pérez-Zuriaga AM, Garcia AG, Camacho-Torregrosa FJ, D’Attoma P (2010) Modeling operating speed and deceleration on two-lane rural roads with global positioning system data. Transp Res Rec 2171:11–20. https://doi.org/10.3141/2171-02

    Article  Google Scholar 

  16. Lamm R, Psarianos B, Choueiri ME, Soilemezoglou G (1995) A practical safety approach to highway geometric design international case studies: Germany, Greece, Lebanon, and the United States. In: The international symposium on highway geometric design practices, Boston, MA

  17. IRC: 73-1980 (1990) Geometric design standards for rural (non-urban) highways. Indian Roads Congress, New Delhi, India

  18. Eboli L, Mazzulla G, Pungillo G (2016) Combining speed and acceleration to define car users’ safe or unsafe driving behaviour. Transp Res Part C Emerg Technol 68:113–125. https://doi.org/10.1016/j.trc.2016.04.002

    Article  Google Scholar 

  19. Cafiso S, Cava G (2009) Driving performance, alignment consistency, and road safety. Transp Res Rec 2102:1–8. https://doi.org/10.3141/2102-01

    Article  Google Scholar 

  20. Choudhari T, Maji A (2018) Assessment of driver performance based on driver demography and road geometry. In: Annual meeting at transportation research board, pp 18–06523

  21. Guo F, Fang Y (2013) Individual driver risk assessment using naturalistic driving data. Accid Anal Prev 61:3–9. https://doi.org/10.1016/j.aap.2012.06.014

    Article  Google Scholar 

  22. Ghasemzadeh A, Hammit BE, Ahmed MM, Young RK (2018) Parametric ordinal logistic regression and non-parametric decision tree approaches for assessing the impact of weather conditions on driver speed selection using naturalistic driving data. Transp Res Rec. https://doi.org/10.1177/0361198118758035

    Article  Google Scholar 

  23. Weng J, Meng Q (2012) Effects of environment, vehicle and driver characteristics on risky driving behavior at work zones. Saf Sci 50:1034–1042. https://doi.org/10.1016/j.ssci.2011.12.005

    Article  Google Scholar 

  24. Reymond G, Kemeny A, Droulez J, Berthoz A (2001) Role of lateral acceleration in curve driving: driver model and experiments on a real vehicle and a driving simulator. Hum Factors 43:483–495. https://doi.org/10.1518/001872001775898188

    Article  Google Scholar 

  25. Zeeman AS, Booysen MJ (2013) Combining speed and acceleration to detect reckless driving in the informal public transport industry. IEEE Conf Intell Transp Syst Proc ITSC. https://doi.org/10.1109/ITSC.2013.6728322

    Article  Google Scholar 

  26. Bella F (2009) Can driving simulators contribute to solving critical issues in geometric design? Transp Res Rec 2138:120–126. https://doi.org/10.3141/2138-16

    Article  Google Scholar 

  27. Romano R, Park G, Paul V, Allen R (2016) Motion cueing evaluation of off-road heavy vehicle handling. In: SAE technical paper at SAE 2016 commercial vehicle engineering congress, p ID 2016-01-8041

  28. Mahmoud H, Said D, Radwan L (2016) Three-dimensional modelling of deceleration and acceleration rates on horizontal curves of two-lane rural roads. J Intell Transp Urban Plan 3:57–69. https://doi.org/10.18005/ITUP0303001

    Article  Google Scholar 

  29. Choueiri EM, Lamm R, Kloeckner JH, Mailaender T (1994) Safety aspects of individual design elements and their interactions on two-lane highways: international perspective. Transp Res Rec 1445:34–46

    Google Scholar 

  30. Charly A, Mathew TV (2019) Evaluation of driving performance in relation to safety on an expressway using field driving data. Transp Lett 00:1–9. https://doi.org/10.1080/19427867.2019.1591075

    Article  Google Scholar 

  31. Ahmed M, Huang H, Abdel-Aty M, Guevara B (2011) Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway. Accid Anal Prev 43:1581–1589. https://doi.org/10.1016/j.aap.2011.03.021

    Article  Google Scholar 

  32. Hassan BY, Gibreel G, Easa SM (2000) Evaluation of highway consistency and safety: practical application. J Transp Eng Am Soc Civ Eng 126:193–201

    Article  Google Scholar 

  33. Bella F, Calvi A, D’Amico F (2014) Analysis of driver speeds under night driving conditions using a driving simulator. J Saf Res 49:45–52. https://doi.org/10.1016/j.jsr.2014.02.007

    Article  Google Scholar 

  34. MVA (1988) The motor vehicles act. Ministry of Road Transport and Highways, India

  35. Sahami S, Jenkins JM, Sayed T (2010) Methodology to analyze adaptation in driving simulators. Transp Res Rec 2138:94–101. https://doi.org/10.3141/2138-13

    Article  Google Scholar 

  36. Pérez-Zuriaga AM, Camacho-Torregrosa FJ, García García A (2013) Tangent-to-curve transition on two-lane rural roads based on continuous speed profiles. J Transp Eng 139:1048–1057. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000583

    Article  Google Scholar 

  37. Choudhari T, Maji A (2019) Analysis of drivers’ speed behaviour along horizontal curves of two-lane rural highways using driving simulator. In: 5th Conference of the transportation research group of India (CTRG-2019), p 627

  38. Ward JH (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236–244. https://doi.org/10.1080/01621459.1963.10500845

    Article  MathSciNet  Google Scholar 

  39. Zegeer CV, Stewart JR, Council FM et al (1992) Safety effects of geometric improvements on horizontal curves. Transp Res Rec 1356:11–19. http://onlinepubs.trb.org/Onlinepubs/trr/1992/1356/1356-002.pdf

  40. Krammes RA, Brackett RQ, Shafer MA et al (1995) Horizontal alignment design consistency for rural two-lane highways. Fed Highw Adm No FHWA-RD-94-034

  41. Lamm R, Choueiri E (1987) Recommendations for evaluating horizontal design consistency based on investigations in the state of New York. Transp Res Rec 1122:68–78

    Google Scholar 

  42. Mcfadden J, Elefteriadou L (2000) Evaluating horizontal alignment design consistency of two-lane rural highways development of new procedure. Transp Res Rec 1737:9–17

    Article  Google Scholar 

  43. Calvi A, Bella F (2014) Modeling speed differential parameters in day and night environments using driving simulator. Proc Eng 84:648–661. https://doi.org/10.1016/j.proeng.2014.10.482

    Article  Google Scholar 

  44. Bella F (2005) Operating speed predicting models on two-lane rural roads from driving simulation. In: Annual meeting at Transp Res Board

  45. Choudhary P, Velaga NR (2019) Driver behaviour at the onset of yellow signal: a comparative study of distraction caused by use of a phone and a music player. Transp Res Part F Traffic Psychol Behav 62:135–148. https://doi.org/10.1016/j.trf.2018.12.022

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the opportunity provided by the 3rd Conference on Recent Advances in Traffic Engineering (RATE 2018) held at SVNIT Surat, India during 11–12 August 2018 to present this work, that forms the basis of this manuscript. The authors sincerely acknowledge the support provided by the Indian Institute of Technology (IIT) Bombay. The help rendered by the students and staffs of the Institute by participating in this study is also duly acknowledged.

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Correspondence to Tushar Choudhari.

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Choudhari, T., Maji, A. Risk Assessment of Horizontal Curves Based on Lateral Acceleration Index: A Driving Simulator-Based Study. Transp. in Dev. Econ. 7, 2 (2021). https://doi.org/10.1007/s40890-020-00111-2

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