Safety performance evaluation of dangerous chemicals transport drivers based on vehicle GPS data

doi:10.16265/j.cnki.issn 1003-3033.2021.07.023

Abstract

Abstract: In order to improve science and convenience of daily safety performance evaluation of drivers in road transportation of dangerous chemicals, firstly, natural driving data were mined from vehicle GPS to evaluate drivers' safety performance. By using improved piecewise fitting method based on adaptive transformation of coordinate system, dynamic driving data such as driving speed, acceleration, plane curvature, road slope and slope length were extracted. Then, combined with vehicle rollover speed prediction model and brake drum temperature rise model, a safety evaluation system with seven indexes was established, which includes four levels: driving speed stability, vehicle lateral stability, braking stability and driving state stability. Finally, combination weighting method was used to build a 10 point safety performance evaluation model for road transport drivers of dangerous chemicals. The results show that piecewise-fitting method based on adaptive transformation of coordinate systemreduces fitting residual by 19.23% on average, and evaluation model is sensitive to dangerous driving behavior.

Key words: vehicle global positioning system(GPS), dangerous chemicals transport drivers, safety performance evaluation, driving track, combination weighting method

CLC Number:

X928.03

HAN Tianyuan, LI Xuan, LYU Kaiguang, ZHOU Wencai, LIU Yongtao, QIAO Jie. Safety performance evaluation of dangerous chemicals transport drivers based on vehicle GPS data[J]. China Safety Science Journal, 2021, 31(7): 164-171.

References

[1] 赵金龙, 袁杰, 赵荣华, 等. 危化品公路泄漏多主体应急协同调度系统[J]. 中国安全科学学报, 2020, 30(8):116-121.
ZHAO Jinlong, YUAN Jie, ZHAO Ronghua, et al. Multi-Agent emergency cooperative dispatching system for dangerous chemicals leakage on highways[J]. China Safety Science Journal, 2020, 30(8):116-121.
[2] 曹建, 施式亮, 鲁义,等. 2013—2018年罐车公路运输危化品事故分析[J]. 中国安全科学学报, 2020, 30(2):119-126.
CAO Jian, SHI Shiliang, LU Yi, et al. Analysis on tank transportation accidents of hazardous chemicals from 2013 to 2018[J]. China Safety Science Journal, 2020, 30(2):119-126.
[3] HUANG Xin, ZHANG Mingguang, WANG Jian, et al. Study on law of scenario evolution based on accident statistics of hazardous chemicals transportation[C]. 2018 IEEE International Conference of Safety Produce Informatization (IICSPI). IEEE, 2018:80-83.
[4] ZHOU Kai, HUANG Ge, WANG Shan, et al. Research on transportation safety of hazardous chemicals based on fault tree analysis(FTA)[C]. 2020 9th International Conference on Industrial Technology and Management (ICITM). IEEE, 2020:206-209.
[5] DAS A, AHMED M M, GHASEMZADEH A. Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: an association rules mining approach[J]. Accident Analysis & Prevention, 2019, 129:250-262.
[6] GHASEMZADEH A, AHMED M M. Utilizing naturalistic driving data for in-depth analysis of driver lane-keeping behavior in rain: Non-parametric MARS and parametric logistic regression modeling approaches[J]. Transportation Research Part C: Emerging Technologies, 2018, 90:379-392.
[7] 刘通, 付锐, 张名芳, 等. 融合K-means与高斯混合模型的驾驶风格聚类研究[J].中国安全科学学报, 2019, 29(12):40-45.
LIU Tong, FU Rui, ZHANG Mingfang, et al. Study on driving style clustering based on K-means and Gaussian mixture model[J]. China Safety Science Journal, 2019, 29(12):40-45.
[8] GUO Ming, HU Lily, YE Long. Cognition and driving safety: how does the high-speed railway drivers' cognitive ability affect safety performance[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 65:10-22.
[9] DIJKEN J, VELDSTRA J, LOO A, et al. The influence of alcohol (0.5‰) on the control and manoeuvring level of driving behaviour, finding measures to assess driving impairment: a simulator study[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2020, 73:119-127.
[10] 陈岳峰, 陈礼彪, 黄键, 等. 考虑驾驶行为稳定性与交通流状态稳定性的路标效用评价模型[J]. 公路交通科技, 2019, 36(10):137-143.
CHEN Yuefeng, CHEN Libiao, HUANG Jian, et al. A model for evaluating effect of guide sign considering stability of driving behavior and traffic flow state[J]. Journal of Highway and Transportation Research and Development, 2019, 36(10):137-143.
[11] MANLEY H, PAISARNSRISOMSUK N, HILL A,et al. The development and validation of a hazard perception test for Thai drivers[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2020, 71:229-237.
[12] 交通运输部. 道路运输车辆动态监督管理办法[L]. 2014-07-01.
[13] MALAGHAN V, PAWAR D S. Operating speed differential model for heavy vehicles using GPS driving data[J]. Transportation Research Procedia, 2020, 48:3 706-3 716.
[14] ISLAM M, MANNERING F. A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving[J].Analytic Methods in Accident Research, 2020, 27:100128.
[15] 陈富坚,郑峰,徐培培.基于货车制动安全的公路长大下坡可靠性设计方法[J].北京工业大学学报,2017, 43(7):1 100-1 107.
CHEN Fujian, ZHENG Feng, XU Peipei. Reliability design method for long steep downgrades based on trucks' braking safety[J]. Journal of Beijing University of Technology, 2017, 43(7):1 100-1 107.