J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (1): 126-135.doi: 10.1007/s12204-023-2575-1
收稿日期:2021-12-18
出版日期:2023-01-28
发布日期:2023-02-10
PANG Na1 (庞 娜), LUO Wenguang1∗ (罗文广), WU Ruoyuan1 (吴若园), LAN Hongli1 (蓝红莉), QIN Yongxin1 (覃永新), SU Qi2 (苏 琦)
Received:2021-12-18
Online:2023-01-28
Published:2023-02-10
摘要: 为预防和减少道路交通事故,提高驾驶员的安全意识,改善驾驶员的不良驾驶行为,研究了一种商用车驾驶行为安全性评价方法。根据商用车行驶数据,提取了3项驾驶风格分类指标及4项一级、10项二级安全评价指标。其中针对商用车运输货物的稳定性程度,将加速度这一指标按照统计学中的第三四分位法分为三个等级,并建立了安全性指标评价表达式。利用k-means++将驾驶员分为保守型、温和型、激进型3种驾驶类型,采用层次分析法(AHP)和客观权重赋权法(CRITIC)相结合的方法计算各指标对应的权重,结合安全性指标得分标准计算各类驾驶员的驾驶行为得分。运用商用车驾驶员实际驾驶行为数据对建立的安全性评价模型进行验证,计算结果表明AHP-CRITIC评价模型能够明显区分出不同驾驶风格的驾驶员,验证了改进后算法的合理性,表明了该评价体系可以对驾驶员安全性驾驶行为进行有效的评价,为运输企业等管理部门提供参考。
中图分类号:
. 基于AHP-CRITIC算法的商用车驾驶行为安全性评价[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(1): 126-135.
PANG Na1 (庞 娜), LUO Wenguang1∗ (罗文广), WU Ruoyuan1 (吴若园), LAN Hongli1 (蓝红莉), QIN Yongxin1 (覃永新), SU Qi2 (苏 琦). Safety Evaluation of Commercial Vehicle Driving Behavior Using the AHP—CRITIC Algorithm#br#
| [1] National Bureau of Statistics. China statistical yearbook [M]. Beijing: China Statistics Press, 2021: 16-23 (in Chinese). [2] YAO Y, ZHAO X H, ZHANG Y L, et al. Modeling of individual vehicle safety and fuel consumption under comprehensive external conditions [J]. Transportation Research Part D: Transport and Environment, 2020, 79: 102224. [3] HU L, BAO X Q, LIN M, et al. Research on risky driving behavior evaluation model based on CIDAS real data [J]. Journal of Automobile Engineering, 2021, 235(8): 2176-2187. [4] ZHANG Z H. Research on driving behavior based on OBD data analysis [D]. Xi’an: Chang’an University, 2017 (in Chinese). [5] LEI C L, ZHONG T Y, CAI X Y, et al. Road safety evaluation method based on OBD data of internet of vehicles [J]. Highways & Automotive Applications, 2019 (1): 30-36 (in Chinese). [6] WEN J H, YANG X M, WU C Z. A characteristic analysis of driving behaviors for operation vehicles based on big data [J]. Journal of Transport Information and Safety, 2018, 36(4): 42-50 (in Chinese). [7] LIU Y J, ZENG C, WANG S J, et al. An evaluation method of safety and energy-saving driving behavior based on satellite positioning data [J]. Journal of Highway and Transportation Research and Development, 2018, 35(1): 121-128 (in Chinese). [8] SU Y M, WANG L. Integrated framework for test and evaluation of autonomous vehicles [J]. Journal of Shanghai Jiao Tong University (Science), 2021, 26(5): 699-712. [9] CAO W W, LI M G, WU W, et al. Safety evaluation method for long-term operation of metro based on combination weighting method [J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(6): 700-705. [10] SUN Y F, BI Y, HAN Y, et al. Research on safe driving behavior of transportation vehicles based on vehicle network data mining [J]. Transactions on Emerging Telecommunications Technologies, 2020, 31(5): e3772. [11] LIU Z Q, WANG T. Real-time safety assessment method of driving behavior based on improved TOPSIS [J]. Journal of Chongqing University of Technology (Natural Science), 2021, 35(11): 58-66 (in Chinese). [12] ZHANG T R, CHAN A H S, XUE H J, et al. Driving anger, aberrant driving behaviors, and road crash risk: Testing of a mediated model [J]. International Journal of Environmental Research and Public Health, 2019, 16(3): 297. [13] LIU Y G, WANG J M, ZHAO P, et al. Research on classification and recognition of driving styles based on feature engineering [J]. IEEE Access, 2019, 7: 89245-89255. [14] SHI X P, WONG Y D, LI M Z F, et al. A feature learning approach based on XGBoost for driving assessment and risk prediction [J]. Accident Analysis & Prevention, 2019, 129: 170-179. [15] ZHENG H J, XIONG X, ZHANG S. Driver behavior analysis based on vehicle network data mining [J]. Information & Communications, 2019, 32(8): 52-55 (in Chinese). [16] KINNEAR N, HELMAN S, WALLBANK K, et al. An experimental study of factors associated with driver frustration and overtaking intentions [J]. Accident Analysis & Prevention, 2015, 79: 221-230. [17] CHEN D P. Research on vehicle driving behavior analysis method based on random forest [J]. Computer Knowledge and Technology, 2019, 15(35): 204-206 (in Chinese). [18] JúNIOR J F, CARVALHO E, FERREIRA B V, et al. Driver behavior profiling: An investigation with different smartphone sensors and machine learning [J]. PLoS ONE, 2017, 12(4): e0174959. [19] DENG Z J, CHU D F, WU C Z, et al. Curve safe speed model considering driving style based on driver behaviour questionnaire [J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 65: 536-547. [20] HUANG J, CHEN Y M, PENG X Y, et al. Study on the driving style adaptive vehicle longitudinal control strategy [J]. IEEE/CAA Journal of Automatica Sinica, 2020, 7(4): 1107-1115. [21] HUSSAIN B, SATO H, MIWA T, et al. Influence of personality traits on aberrant driving behaviors: A comparison of Japanese, Chinese, and Vietnamese drivers [J]. Journal of Safety Research, 2020, 75: 178-188. [22] HAN W L. Study on driving behavior characteristics and safety risk of heavy truck drivers[D]. Xi’an: Chang’an University, 2021 (in Chinese). [23] XU Z Q, YAO Y, ZHOU X S, et al. Research on driving safety evaluation technology based on fuzzy comprehensive evaluation [J]. Computer Measurement & Control, 2019, 27(7): 261-265 (in Chinese). [24] WEI C H, LEE Y, LUO Y W, et al. Incorporating personality traits to assess the risk level of aberrant driving behaviors for truck drivers [J]. International Journal of Environmental Research and Public Health, 2021, 18(9): 4601. [25] LI Z X, LIN K D, GUO J H, et al. Transportation vehicle safety evaluation model based on vehicle network data [J]. Journal of Nantong University (Natural Science Edition), 2020(1): 26-32 (in Chinese). [26] CAI X M, ZHANG Z P, ZHANG J N, et al. Vehicle safety driving evaluation model based on analytic hierarchy process and ideal point approach [J]. Journal of Langfang Normal University (Natural Science Edition), 2020(3): 5-11 (in Chinese). [27] WANG K, LU J, JIANG Y M. Abnormal road driving behavior spectrum establishment and characteristic value calculation method based on vehicle driving trajectory [J]. Journal of Traffic and Transportation Engineering, 2020(6): 236-249 (in Chinese). |
| [1] | 顾晨星, 权冀川, 黄志雄, 刘贵宾. 基于改进AHP-CRITIC-TOPSIS的空中目标威胁评估模型[J]. 空天防御, 2025, 8(4): 68-77. |
| [2] | 于超, 仝英利, 刘昊, 陈长钦, 孙海防, 宋坤明. 基于层次分析法的FPSO油气水分离系统综合评价指标权重分析[J]. 海洋工程装备与技术, 2025, 12(2): 144-151. |
| [3] | 王泉, 刘新爱, 何永鹏, 程洋, 秋峰, 王素平. 基于Fuzzy-AHP的反辐射导弹作战效能评估应用研究[J]. 空天防御, 2024, 7(2): 47-51. |
| [4] | 蒋毅, 傅俊诚, 李泽文, 张雨青, 尹骏刚, 姚建刚. 基于改进TOPSIS的楼宇多指标综合评价[J]. 上海交通大学学报, 2023, 57(7): 868-877. |
| [5] | 罗菁, 张逸楠. 基于改进Grey-AHP的察打一体无人机作战效能评估方法[J]. 空天防御, 2022, 5(2): 1-7. |
| [6] | 陈仁朋, 王志腾, 吴怀娜, 刘源, 孟凡衍. 基于FAHP法和区间数改进TOPSIS法的盾构隧道下穿建筑物风险评估[J]. 上海交通大学学报, 2022, 56(12): 1710-1719. |
| [7] | 王威, 陆思逵, 杨成忠, 冯青松. 有砟客专路基结构参数的优化研究[J]. 上海交通大学学报, 2021, 55(1): 48-55. |
| [8] | 赵智剑, 余科, 马跃华, 潘俊, 杨革文. 基于AHP-云模型的雷达抗干扰性能评估[J]. 空天防御, 2020, 3(1): 65-72. |
| [9] | 张士伦1,张孟喜1,吉随旺2,陈强2,罗康军2. 基于模糊分析的松散体边坡稳定性评价[J]. 上海交通大学学报(自然版), 2015, 49(07): 1035-1039. |
| [10] | 王建1,庞永杰1,杨卓懿1,胡中慧2. 改进模糊层次分析法在AUV总体性能评价中的应用[J]. 上海交通大学学报(自然版), 2015, 49(02): 275-280. |
| [11] | 郑凯1,胡洁1,詹振飞2,戚进1,彭颖红1. 动态系统模型验证的多元响应分析[J]. 上海交通大学学报(自然版), 2015, 49(02): 191-195. |
| [12] | 谭远玲, 褚学宁, 张在房. 基于改进重要度绩效分析法的服务属性决策[J]. 上海交通大学学报(自然版), 2011, 45(09): 1281-1287. |
| [13] | 张守华,孙树栋. 高 新 技 术 科 研 项 目 评 价 [J]. 上海交通大学学报(自然版), 2011, 45(01): 134-0138. |
| [14] | 马文娟,王东,高懿. 基于改进层次分析法的汽车零部件物流网络规划 [J]. 上海交通大学学报(自然版), 2010, 44(12): 1697-1703. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||