In order to further improve the safety of truck braking process, the reliability of truck stopping sight distance on downhill section of highway is studied. A four-stage stopping sight distance model considering the ABS is constructed. The reliability theory is introduced to analyze the reliability of truck stopping sight distance on the downhill section of the highway by using Monte Carlo method, and the suggested value of truck stopping sight distance is given. Furthermore, the rationality of the model is verified by engineering examples and TruckSim simulation. The results show that there is a positive correlation between the probability of stopping sight distance failure and the accident rate; the error of the calculated value of the reliability model is smaller than the standardized value, and the results are more conservative. It shows that the research results have certain practical significance for reducing road safety risks.
LiShuo, MaYu-kun, HanHui, et al. Analysis of causes and random parameters of truck accident severity on mountainous highways[J]. Journal of Highway and Transportation Research and Development, 2023, 40(4): 228-236.
ChengGuo-zhu, ChengRui, XuLiang, et al. Risk evaluation of highway roadside accidents based on occupant injury analysis[J]. Journal of Jilin University (Engineering and Technology Edition), 2021, 51(3): 875-885.
[5]
XuZ W, ZhangL, RongX. Clutter suppression for hypersonic vehicle-borne radar with frequency diverse array[J]. Systems Engineering and Electronics,2017, 28(3): 481-492.
[6]
QinP P, ChenC C, GuoH L. Analyzing the influence of aggregate properties on stopping distance on truck escape ramps[J].Journal of Shanghai Jiaotong University (Science), 2019, 24(3): 323-327.
WuShan-gen, LiTao, LinXuan-cai, et al. Research on stopping sight distance of highway based on braking deceleration[J]. Journal of Highway and Transportation Research and Development, 2021, 38(9):51-59.
[9]
MavromatisS, MatragosV, PasiasP, et al. Vertical clearance assessment of overpassing structures on sag vertical curves[J].Transportation Research Record, 2022, 2676(8): 376-385.
[10]
NavinF P D. Reliability indices for road geometric design[J]. Canadian Journal of Civil Engineering, 1992, 19(5): 760-766.
[11]
ChenY, ZhuF, ChenW Y, et al. A new stopping sight distance model and fuzzy reliability analysis comparison[J]. IEEE Access, 2022, 10: 69568-69576.
ShengXu-gao, YuMeng-ge, HuoWei. Research on the safety reliability of highway vehicle braking under heavy rainfall based on parking sight distance[J]. Journal of Highway and Transportation Research and Development, 2023, 40(1): 227-235.
[14]
JTG D20—2017 公路路线设计规范 [S].
[15]
GB 7258—2017 机动车运行安全技术条件 [S].
[16]
周志立,徐立友. 汽车ABS原理与结构[M]. 北京:机械工业出版社, 2011.
[17]
单慧敏. 多车道高速公路停车视距研究[D]. 西安:长安大学公路学院, 2020.
[18]
ShanHui-min. Research on stopping sight distance of multi-lane highway[D]. Xi'an: College of Highway, Chang'an University, 2020.
ZhangChi, RenShi-peng, WangBo, et al. Characterization and prediction of truck operating speed on long downhill sections[J]. Journal of South China University of Technology (Natural Science Edition), 2022, 50(3):38-49.
[22]
LenzoB. Vehicle Dynamics[M]. Berlin: Springer International Press, 2022.
XieJing-fang, De-baoLyu, WangBao-shu. Forecasting method of meteorological index of highway pavement friction[J]. Journal of Meteorology and Environment, 2006(6): 18-21.
QiCong. Traffic safety management method of highway in case of meteorological disasters[D]. Changchun: College of Construction Engineering, Jilin University, 2014.
WangYuan-yuan. Research on the relationship between skid resistance characteristics of asphalt pavement and its surface roughness characteristics[D]. Nanjing: College of Transportation, Southeast University, 2017.
[29]
KaneM, ZhaoD, DoM T.Exploring the ageing effect of binder on skid resistance evolution of asphalt pavement[J].Road Materials and Pavement Design, 2010, 11: 543-557.
LiuChen-yang. Hazards of overloading transportation of trucks on highway and the impact of economic benefits[D]. Zhengzhou: College of Mechanical & Electrical Engineering, Henan Agricultural University, 2016.
GuoMeng-zhu. Research on driver fatigue state monitoring and warning technology based on reaction time [D]. Changchun: College of Transportation, Jilin University, 2017.