Effects of Transition Curves and Superelevation on the Critical States of Truck Rollovers on Sharp Curves
DOI:
https://doi.org/10.7250/bjrbe.2024-19.627Keywords:
driving stability, rollover, superelevation, transition curve, traffic safetyAbstract
Sharp curves are vulnerable sections for rollover accidents. This study was conducted to investigate the effects of transition curve and superelevation on the critical speed and critical braking distance of truck rollovers. Using different transition types (spiral, Bloss and Grabowski curve) and different superelevation values (6%, 120 m transition length and 8%, 160 m) as variables, experiments of constant speed driving and hard braking were simulated and conducted by Trucksim. Conclusions regarding the influence of these road design factors on the stability of vehicles were then proposed. Grabowski curve allowed for the maximum critical rollover speed. The difference in critical rollover speed between different transition types was only determined by the length of the transition section. Simply extending the length of the transition section increased the critical rollover speed of spiral curve, at the same time decreasing the critical speed of Bloss and Grabowski curve. Hard braking experiments showed completely different characteristics. As the initial speed increased, only spiral curve became safer. Increasing superelevation made the braking behaviour of the vehicle more dangerous and fraught with uncertainties due to different target speed, starting curvature and changing superelevation. Based on these findings, a number of useful recommendations for drivers and road designers were put forward.
References
Anas, A., & Khaled, K. (2022). Impact of mountainous interstate alignments and truck configurations on rollover propensity. Journal of Safety Research, 80, 160–174. https://doi.org/10.1016/j.jsr.2021.11.012
Bettle, J., Holloway, A., & Venart, J. (2003). A computational study of the aerodynamic forces acting on a tractor-trailer vehicle on a bridge in cross-wind. Journal of Wind Engineering and Industrial Aerodynamics, 91(5), 573–592. https://doi.org/10.1016/s0167-6105(02)00461-0
Bonfitto, A., Feraco, S., Tonoli, A., & Amati, N. (2019). Combined regression and classification artificial neural networks for sideslip angle estimation and road condition identification. Truck System Dynamics, 58(11), 1766–1787. https://doi.org/10.1080/00423114.2019.1645860
Chen, Y., & Ahmadian, M. (2020). Countering the destabilizing effects of shifted loads through pneumatic suspension design. SAE International Journal of Vehicle Dynamics, Stability, and NVH, 4(1), 5–17. https://doi.org/10.4271/10-04-01-0001
Chen, Y., Zhang, Z., Campbell, N., & Mehdi, A. (2022). When is it too late to brake? Vehicle System Dynamics, 61(11), 2888–2911. https://doi.org/10.1080/00423114.2022.2144386
Chinese Ministry of Public Security. (2015). Statistics annals of road traffic accident of peoples Republic of China. Traffic Administration Bureau.
Chu, D., Yang, J., Lu, L., He, Y., Wu, C., & Zhang, C. (2018). Curve speed model considering coupled effect vehicle and road for preventions of rollover and sideslip. 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA, 1358–1363. https://doi.org/10.1109/ITSC.2018.8569277
Czechowicz, M. P., & Mavros, G. (2014). Analysis of vehicle rollover dynamics using a high-fidelity model. Vehicle System Dynamics, 52(5), 608–636. https://doi.org/10.1080/00423114.2013.863362
Himes, S., Porter, R. J., Hamilton, I., & Donnell, E. (2019). Safety evaluation of geometric design criteria: horizontal curve radius and side friction demand on rural, two-lane highways. Transportation Research Record, 2673(3), 516–525. https://doi.org/10.1177/0361198119835514
Huang, H. H., Yedavalli, R. K., & Guenther, D. A. (2012). Active roll control for rollover prevention of heavy articulated vehicles with multiple-rollover index minimization. Vehicle System Dynamics, 50(3), 471–493. https://doi.org/10.1080/00423114.2011.597863
Kobryń, A. (2017). Transition curves for highway geometric design (STTT, vol. 14). Springer International Publishing. https://doi.org/10.1007/978-3-319-53727-6
Li, B., & Bei, S. (2019). Research method of vehicle rollover mechanism under critical instability condition. Advances in Mechanical Engineering, 11(1). https://doi.org/10.1177/1687814018821218
Li, S., Yang, S., & Chen, L. (2016). Investigation on cornering brake stability of a heavy-duty vehicle based on a nonlinear three-directional coupled model. Applied Mathematical Modelling, 40(13–14), 6310–6323. https://doi.org/10.1016/j.apm.2016.03.001
Li, X., Tang, B., Ball, J., Doude, M., & Carruth, D. W. (2019). Rollover-free path planning for off-road autonomous driving. Electronics, 8(6), Article 614. https://doi.org/10.3390/electronics8060614
Liu, Z., He, J., Zhang, C., Xing, L., & Zhou, B. (2020). The impact of road alignment characteristics on different types of traffic accidents. Journal of Transportation Safety & Security, 12(5), 697–726. https://doi.org/10.1080/19439962.2018.1538173
Nair, H., & Sujatha, C. (2020). Prevention of vehicle rollover after wheel lift-off using energy-based controller with proportional gain augmentation. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234(4), 963–980. https://doi.org/10.1177/0954407019867508
Richl, L., & Sayed, T. (2005). Effect of speed prediction models and perceived radius on design consistency. Canadian Journal of Civil Engineering, 32(2), 388–399. https://doi.org/10.1139/l04-103
Wolhuter, K. (2015). Geometric design of roads handbook (1st ed.). CRC Press. https://doi.org/10.1201/b18344
Xu, J., Xin, T., Gao, C., & Sun, Z. (2022). Study on the maximum safe instantaneous input of the steering wheel against rollover for trucks on horizontal curves. International Journal of Environmental Research and Public Health, 19(4), Article 2025. https://doi.org/10.3390/ijerph19042025
Estébanez, A., Díaz, J. J., Rabanal, F. P., & Muñoz, P. (2017). Performance analysis of wind fence models when used for truck protection under crosswind through numerical modeling. Journal of Wind Engineering and Industrial Aerodynamics, 168, 20–31. https://doi.org/10.1016/j.jweia.2017.04.021
Hassan, M. A., Abdelkareem, M. A. A., Moheyeldein, M., Elagouz, A., & Tan, G. (2020). Advanced study of tire characteristics and their influence on vehicle lateral stability and untripped rollover threshold. Alexandria Engineering Journal, 59(3), 1613–1628. https://doi.org/10.1016/j.aej.2020.04.008
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