Influence of Socio-Demographic, Experience, and Geometric Factors on Drivers' Ability to Distinguish Sharpness of Consecutive Horizontal Curves
About 25-30% of fatal crashes occur on horizontal curves, with 60-70% as single-vehicle run-off-road (ROR) crashes. Driver errors are one of the primary reasons for such crashes resulting from inexperience, distraction, and poor perception. This study evaluated the effects of drivers' age, type...
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| Published in | Journal of the Eastern Asia Society for Transportation Studies Vol. 15; pp. 2367 - 2384 |
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| Format | Journal Article |
| Language | English |
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Eastern Asia Society for Transportation Studies
2024
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| Abstract | About 25-30% of fatal crashes occur on horizontal curves, with 60-70% as single-vehicle run-off-road (ROR) crashes. Driver errors are one of the primary reasons for such crashes resulting from inexperience, distraction, and poor perception. This study evaluated the effects of drivers' age, type, experience, education, use of eyeglasses, and radii of consecutive curves on their ability to distinguish differences in curve sharpness. The preliminary survey revealed that static and dynamic curve presentation methods are statistically comparable. Fifty-seven 3D static consecutive curve combinations of four-lane divided highways were developed using AutoCAD® Civil 3D to record driver responses. Confusion matrices for the curve combinations were estimated to examine false negative rates (FNR) of driver groups. The results revealed that socio-demographic and experience factors do not influence drivers' FNR. Critical curve combinations were identified based on FNR, which could be beneficial in geometric design for improving consistency and safety. |
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| AbstractList | About 25-30% of fatal crashes occur on horizontal curves, with 60-70% as single-vehicle run-off-road (ROR) crashes. Driver errors are one of the primary reasons for such crashes resulting from inexperience, distraction, and poor perception. This study evaluated the effects of drivers' age, type, experience, education, use of eyeglasses, and radii of consecutive curves on their ability to distinguish differences in curve sharpness. The preliminary survey revealed that static and dynamic curve presentation methods are statistically comparable. Fifty-seven 3D static consecutive curve combinations of four-lane divided highways were developed using AutoCAD® Civil 3D to record driver responses. Confusion matrices for the curve combinations were estimated to examine false negative rates (FNR) of driver groups. The results revealed that socio-demographic and experience factors do not influence drivers' FNR. Critical curve combinations were identified based on FNR, which could be beneficial in geometric design for improving consistency and safety. |
| Author | MAJI, Avijit ATIF, Mohd SIL, Gourab |
| Author_xml | – sequence: 1 fullname: ATIF, Mohd organization: Indian Institute of Technology Indore, Department of Civil Engineering – sequence: 2 fullname: SIL, Gourab organization: Indian Institute of Technology Indore, Department of Civil Engineering – sequence: 3 fullname: MAJI, Avijit organization: Indian Institute of Technology Bombay, Department of Civil Engineering |
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(2022) Investigating the Driver Skills, Safety Concerns, and Risk-Taking Behaviors of Professional and Non-Professional Drivers: An Assessment of Each Group's Perception of Each Group. Uludağ University Faculty of Arts and Sciences, Journal of Social Science, 23(43), 1331-1363. Bazilinskyy, P., Eisma, Y.B., Dodou, D., de Winter, J.C.F. (2020) Risk perception: A study using dashcam videos and participants from different world regions. Traffic Injury Prevention, 21, 347–353. Hassan, Y., Easa, S.M. (2000) Modeling of Required Preview Sight Distance. Journal of Transportation Engineering, 126, 13–20. Tharwat, A. (2021) Classification assessment methods. Applied computing and informatics, 17(1), 168-192. Kuniyoshi, J.R.G., Costa, A.T., Cruz Figueira, A., Kabbach, F.I., Larocca, A.P.C. (2021) Driver's visual perception as a function of age. Using a driving simulator to explore driver's eye movements in vertical signs. Transportation Research Interdisciplinary Perspective, 11, 100460. Zakowska, L. (1999) Road Curve Evaluation Based on Road View Perception Study. Transportation research record, 1689(1), 68-72. Charlton, S.G. (2007) The role of attention in horizontal curves: A comparison of advance warning, delineation, and road marking treatments. Accident Analysis & Prevention, 39, 873–885. Lehtonen, E., Lappi, O., Koirikivi, I., Summala, H. (2014) Effect of driving experience on anticipatory look-ahead fixations in real curve driving. Accident Analysis & Prevention, 70, 195–208. Bidulka, S., Sayed, T., Hassan, Y. (2002) Influence of Vertical Alignment on Horizontal Curve Perception: Phase I: Examining the Hypothesis. Transportation Research Record, 1796(1), 12-23. WHO (2021) Road traffic injuries. Retrieved from https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries (accessed 2.5.22). Hasan, M., Sayed, T., Hassan, Y. (2005). Influence of vertical alignment on horizontal curve perception: Effect of spirals and position of vertical curve. 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Cejun Liu, A., Subramanian, R., Chen, C.-L., Hanna, R., Simons, J., Kahane, C., Flemons, D., Amjadi, R., Andersen, C., Satterfield, C., Cicchino, J. (2009) Factors Related to Fatal Single-Vehicle Run-Off-Road Crashes (No. HS-811 232). Reason, J., Manstead, A., Stephen, S., Baxter, J., Campbell, K. (1990) Errors and violations on the roads: A real distinction? Ergonomics, 33, 1315–1332. Matthews, M.L., Moran, A.R. (1986) Age differences in male drivers' perception of accident risk: The role of perceived driving ability. Accident Analysis & Prevention, 18(4), 299-313. Alexander, G. J. (1986). Driver expectancy in highway design and traffic operations. US Department of Transportation, Federal Highway Administration, Office of Traffic Operations. Bärgman, J. (2016) Methods for analysis of naturalistic driving data in driver behavior research. Chalmers Tekniska Hogskola (Sweden). Pajković, V., & Grdinić-Rakonjac, M. (2022) Age-related differences in attitudes and perception on road safety issues in Montenegro. Transportation Research Procedia, 60, 584-591. Choudhari, T., Maji, A. (2019) Effect of horizontal curve geometry on the maximum speed reduction: a driving simulator-based study. Transportation in developing economies, 5, 1-8. Lyu, N., Cao, Y., Wu, C., Xu, J., Xie, L. (2018) The effect of gender, occupation and experience on behavior while driving on a freeway deceleration lane based on field operational test data. Accident Analysis & Prevention, 121, 82–93. Fox, M.D. (1989) Elderly Drivers' Perceptions of Their Driving Abilities Compared to Their Functional Visual Perception Skills and Their Actual Driving Performance. Physical & Occupational Therapy in Geriatrics, 7(1-2), 13-50. MORTH (2019) Road accidents in India 2019. MORTH Publications, New Delhi. Iehisa, I., Ayaki, M., Tsubota, K., Negishi, K. (2020) Factors affecting depth perception and comparison of depth perception measured by the three-rods test in monocular and binocular vision. Heliyon, 6(9), e04904. Dorn, L., Barker, D. (2005) The effects of driver training on simulated driving performance. Accident Analysis & Prevention, 37, 63–69. Akoglu, H. (2018) User's guide to correlation coefficients. Turkish journal of emergency medicine, 18(3), 91-93. Bener, A., Özkan, T., Lajunen, T. (2008) The Driver Behaviour Questionnaire in Arab Gulf countries: Qatar and United Arab Emirates. Accident Analysis & Prevention, 40, 1411–1417. Hassan, Y., Asce, M., Easa, S.M. (2003) Effect of Vertical Alignment on Driver Perception of Horizontal Curves. Journal of Transportation Engineering, 129(4), 399-407. IRC-73 (1980) IRC: 73-1980 Geometric Design Standards for Rural (Non-Urban) Highways. In The Indian Roads Congress, New Delhi. Vos, J., Farah, H., Hagenzieker, M. (2021) How do Dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice? IATSS Research, 45, 258–266. Calvi, A. (2015) A Study on Driving Performance Along Horizontal Curves of Rural Roads. Journal of Transportation Safety and Security, 7, 243–267. Faubert, J. (2002) Visual Perception and Aging. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 56(3), 164. Hassan, Y., Sayed, T. (2002) Use of Computer Animation in Quantifying Driver Perception of Three-Dimensional Road Alignments. Applications of Advanced Technologies in Transportation, 877-884. |
| References_xml | – reference: Bazilinskyy, P., Eisma, Y.B., Dodou, D., de Winter, J.C.F. (2020) Risk perception: A study using dashcam videos and participants from different world regions. Traffic Injury Prevention, 21, 347–353. – reference: Akoglu, H. (2018) User's guide to correlation coefficients. Turkish journal of emergency medicine, 18(3), 91-93. – reference: Calvi, A. (2015) A Study on Driving Performance Along Horizontal Curves of Rural Roads. Journal of Transportation Safety and Security, 7, 243–267. – reference: Cejun Liu, A., Subramanian, R., Chen, C.-L., Hanna, R., Simons, J., Kahane, C., Flemons, D., Amjadi, R., Andersen, C., Satterfield, C., Cicchino, J. (2009) Factors Related to Fatal Single-Vehicle Run-Off-Road Crashes (No. HS-811 232). – reference: Kang, X., Kim, W., Namgung, M. (2020) Driver Emotional and Perceptual Evaluation over Various Highway Horizontal Curves. KSCE Journal of Civil Engineering, 24, 2201–2213. – reference: Bidulka, S., Sayed, T., Hassan, Y. (2002) Influence of Vertical Alignment on Horizontal Curve Perception: Phase I: Examining the Hypothesis. Transportation Research Record, 1796(1), 12-23. – reference: Charlton, S.G. (2007) The role of attention in horizontal curves: A comparison of advance warning, delineation, and road marking treatments. Accident Analysis & Prevention, 39, 873–885. – reference: Hassan, Y., Easa, S.M. (2000) Modeling of Required Preview Sight Distance. Journal of Transportation Engineering, 126, 13–20. – reference: Bärgman, J. (2016) Methods for analysis of naturalistic driving data in driver behavior research. Chalmers Tekniska Hogskola (Sweden). – reference: Hassan, Y., Sayed, T. (2002) Use of Computer Animation in Quantifying Driver Perception of Three-Dimensional Road Alignments. Applications of Advanced Technologies in Transportation, 877-884. – reference: WHO (2021) Road traffic injuries. Retrieved from https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries (accessed 2.5.22). – reference: Reason, J., Manstead, A., Stephen, S., Baxter, J., Campbell, K. (1990) Errors and violations on the roads: A real distinction? Ergonomics, 33, 1315–1332. – reference: Kuniyoshi, J.R.G., Costa, A.T., Cruz Figueira, A., Kabbach, F.I., Larocca, A.P.C. (2021) Driver's visual perception as a function of age. Using a driving simulator to explore driver's eye movements in vertical signs. Transportation Research Interdisciplinary Perspective, 11, 100460. – reference: Åberg, L., Rimmö, P.A. (1998) Dimensions of aberrant driver behaviour. Ergonomics, 41, 39–56. – reference: Vos, J., Farah, H., Hagenzieker, M. (2021) How do Dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice? IATSS Research, 45, 258–266. – reference: Borowsky, A., Shinar, D., Oron-Gilad, T. (2010) Age, skill, and hazard perception in driving. Accident Analysis & Prevention, 42, 1240–1249. – reference: Matthews, M.L., Moran, A.R. (1986) Age differences in male drivers' perception of accident risk: The role of perceived driving ability. Accident Analysis & Prevention, 18(4), 299-313. – reference: Hasan, M., Sayed, T., Hassan, Y. (2005). Influence of vertical alignment on horizontal curve perception: Effect of spirals and position of vertical curve. Canadian Journal of Civil Engineering, 32, 204–212. – reference: Blockey, P., Hartley, L.R. (1995) Aberrant driving behaviour: errors and violations. Ergonomics, 38, 1759–1771. – reference: Choudhari, T., Maji, A. (2019) Effect of horizontal curve geometry on the maximum speed reduction: a driving simulator-based study. Transportation in developing economies, 5, 1-8. – reference: Öz, B., Özkan, T., Lajunen, T. (2010) Professional and non-professional drivers' stress reactions and risky driving. Transportation Research Part F: Traffic Psychology and Behaviour, 13, 32–40. – reference: Zwahlen, Helmut T, Schnell, T., Zwahlen, H T (1999) Driver-Headlamp Dimensions, Driver Characteristics, and Vehicle and Environmental Factors in Retroreflective Target Visibility Calculations. Transportation research record, 1692(1), 106-118. – reference: Cordellieri, P., Baralla, F., Ferlazzo, F., Sgalla, R., Piccardi, L., Giannini, A.M. (2016) Gender effects in young road users on road safety attitudes, behaviors and risk perception. Frontiers in psychology, 7, 1412. – reference: Faubert, J. (2002) Visual Perception and Aging. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 56(3), 164. – reference: Sil, G., Maji, A., Majumdar, B.B., Maurya, A.K. (2022) Drivers' ability to distinguish consecutive horizontal curves. Canadian Journal of Civil Engineering, 49, 1518–1531. – reference: AASHTO (2011) A policy on Geometric Design of Highways and Streets. AASHTO, Washington, DC. – reference: Bener, A., Özkan, T., Lajunen, T. (2008) The Driver Behaviour Questionnaire in Arab Gulf countries: Qatar and United Arab Emirates. Accident Analysis & Prevention, 40, 1411–1417. – reference: MORTH (2019) Road accidents in India 2019. MORTH Publications, New Delhi. – reference: Ram, T., Chand, K. (2016) Effect of drivers' risk perception and perception of driving tasks on road safety attitude. Transportation Research Part F: Traffic Psychology and Behaviour, 42, 162–176. – reference: Salduz, M., Azik, D., Öz, B. (2022) Investigating the Driver Skills, Safety Concerns, and Risk-Taking Behaviors of Professional and Non-Professional Drivers: An Assessment of Each Group's Perception of Each Group. Uludağ University Faculty of Arts and Sciences, Journal of Social Science, 23(43), 1331-1363. – reference: Tharwat, A. (2021) Classification assessment methods. Applied computing and informatics, 17(1), 168-192. – reference: Alexander, G. J., Lunenfeld, H. (1986) Driver expectancy in highway design and traffic operations. Final report (No. FHWA-TO-86-1). – reference: IRC-73 (1980) IRC: 73-1980 Geometric Design Standards for Rural (Non-Urban) Highways. In The Indian Roads Congress, New Delhi. – reference: Iehisa, I., Ayaki, M., Tsubota, K., Negishi, K. (2020) Factors affecting depth perception and comparison of depth perception measured by the three-rods test in monocular and binocular vision. Heliyon, 6(9), e04904. – reference: Dorn, L., Barker, D. (2005) The effects of driver training on simulated driving performance. Accident Analysis & Prevention, 37, 63–69. – reference: Fox, M.D. (1989) Elderly Drivers' Perceptions of Their Driving Abilities Compared to Their Functional Visual Perception Skills and Their Actual Driving Performance. Physical & Occupational Therapy in Geriatrics, 7(1-2), 13-50. – reference: Hoo, Z.H., Candlish, J., Teare, D. (2017) What is an ROC curve? Emergency Medicine Journal, 34, 357–359. – reference: Zakowska, L. (1999) Road Curve Evaluation Based on Road View Perception Study. Transportation research record, 1689(1), 68-72. – reference: Choudhari, T., Maji, A. (2019) Socio-demographic and experience factors affecting drivers' runoff risk along horizontal curves of two-lane rural highway. Journal of Safety Research, 71, 1–11. – reference: Lehtonen, E., Lappi, O., Koirikivi, I., Summala, H. (2014) Effect of driving experience on anticipatory look-ahead fixations in real curve driving. Accident Analysis & Prevention, 70, 195–208. – reference: Trapsilawati, F., Priatna, N.U., Wijayanto, T., Widyanti, A., Syafitri, U.D., Chamidah, N. (2021) Examining drivers' socio-demographic variables and perceptions towards sanction mechanisms on speeding behaviour on highways: Targeting appropriate prevention. Journal of Navigation, 74, 726–737. – reference: Hassan, Y., Asce, M., Easa, S.M. (2003) Effect of Vertical Alignment on Driver Perception of Horizontal Curves. Journal of Transportation Engineering, 129(4), 399-407. – reference: Lyu, N., Cao, Y., Wu, C., Xu, J., Xie, L. (2018) The effect of gender, occupation and experience on behavior while driving on a freeway deceleration lane based on field operational test data. Accident Analysis & Prevention, 121, 82–93. – reference: Shinar, D., McDonald, S.T., Treat, J.R. (1976) Interaction between Causally-Implicated Driver Mental and Physical Conditions and Driver Errors Causing Traffic Accidents. In Proceedings of the Human Factors Society Annual Meeting, Sage CA: Los Angeles, CA: SAGE Publications, Vol. 20, No. 15, pp. 329-333. – reference: Pajković, V., & Grdinić-Rakonjac, M. (2022) Age-related differences in attitudes and perception on road safety issues in Montenegro. Transportation Research Procedia, 60, 584-591. – reference: Alexander, G. J. (1986). Driver expectancy in highway design and traffic operations. US Department of Transportation, Federal Highway Administration, Office of Traffic Operations. |
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| Snippet | About 25-30% of fatal crashes occur on horizontal curves, with 60-70% as single-vehicle run-off-road (ROR) crashes. Driver errors are one of the primary... |
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| SubjectTerms | confusion matrix consecutive horizontal curves curve sharpness experience four-lane divided highways Socio-demography |
| Title | Influence of Socio-Demographic, Experience, and Geometric Factors on Drivers' Ability to Distinguish Sharpness of Consecutive Horizontal Curves |
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