车载GPS数据驱动的危货运驾驶员安全绩效评价*

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

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (7): 164-171.doi: 10.16265/j.cnki.issn 1003-3033.2021.07.023

车载GPS数据驱动的危货运驾驶员安全绩效评价^*

韩天园, 李旋, 吕凯光, 周文财, 刘永涛, 乔洁^** 工程师

长安大学汽车学院,陕西西安 710064

收稿日期:2021-04-12 修回日期:2021-06-08 出版日期:2021-07-28 发布日期:2022-01-28
通讯作者: ** 乔洁(1988—),女,陕西大荔人,博士,工程师,主要从事人车路系统安全方面的研究。E-mail:qiaojie@chd.edu.cn。
作者简介:韩天园 (1996—),男,陕西延安人,硕士研究生,主要研究方向为人-车-路系统安全、道路交通事故分析与预防。E-mail:Hty_vehicle@163.com。
基金资助:
国家级大学生创新创业训练计划项目(S202010710024,S202010710030);陕西省重点研发计划项目(2020ZDLGY16-08)。

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

HAN Tianyuan, LI Xuan, LYU Kaiguang, ZHOU Wencai, LIU Yongtao, QIAO Jie

School of Vehicle, Chang'an University, Xi'an Shaanxi 710064, China

Received:2021-04-12 Revised:2021-06-08 Online:2021-07-28 Published:2022-01-28

摘要/Abstract

摘要： 为提高危化品道路运输驾驶员日常安全绩效考核的科学性与便捷性,首先,从车载全球定位系统(GPS)中挖掘自然驾驶数据,运用改进的基于坐标系自适应变换的行驶轨迹分段拟合方法,提取行驶速度、加速度、平面曲率、道路坡度与坡长等动态驾驶数据;然后,结合车辆侧翻车速预测模型、长大下坡制动鼓温升模型,建立行驶速度稳定性、车辆横向稳定性、长大下坡制动稳定性和驾驶状态稳定性4个层次共7个指标的安全评价体系;最后,采用组合赋权法,构建10分制的危化品道路运输驾驶员安全绩效评价模型。研究结果表明:基于坐标系自适应变换的行驶轨迹分段拟合方法平均减少19.23%的拟合残差,构建的评价模型对危险驾驶行为反应灵敏。

关键词: 车载全球定位系统(GPS), 危货运驾驶员, 安全绩效评价, 行驶轨迹, 组合赋权法

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

中图分类号:

X928.03

韩天园, 李旋, 吕凯光, 周文财, 刘永涛, 乔洁. 车载GPS数据驱动的危货运驾驶员安全绩效评价^*[J]. 中国安全科学学报, 2021, 31(7): 164-171.

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.

参考文献

[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.

车载GPS数据驱动的危货运驾驶员安全绩效评价^*

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

编辑推荐

Metrics

本文评价

[1]	李英帅, 闫琦若, 甄云竹, 王卫杰. 铰链车右转内轮差区域范围确定方法[J]. 中国安全科学学报, 2022, 32(3): 103-108.
[2]	王兴隆, 陈仔燕, 刘岩. 基于组合赋权法的空管监视信息质量评估^*[J]. 中国安全科学学报, 2022, 32(1): 41-50.
[3]	马爱迪, 岳忠, 孙宝平, 陈大伟. 基于改进组合赋权法的建筑火灾保险费率研究[J]. 中国安全科学学报, 2020, 30(11): 134-140.
[4]	李爱华. 岸桥金属结构的ICWGT-IVFS多级安全评价模型[J]. 中国安全科学学报, 2018, 28(12): 129-135.
[5]	李梦梅, 牟凤云, 林孝松, 龙秋月, 崔梦瑞. 基于GIS的公路洪灾危险性空间模糊综合评价[J]. 中国安全科学学报, 2018, 28(11): 149-155.
[6]	李英攀, 刘名强, 王芳, 李瑞格. 装配式建筑项目安全绩效云模型评价方法[J]. 中国安全科学学报, 2017, 27(6): 115-120.