[1] MOHAMMADNAZAR A, ARVIN R, KHATTAK A J.
Classifying travelers' driving style using basic safety
messages generated by connected vehicles: Application
of unsupervised machine learning[J]. Transportation
Research Part C: Emerging Technologies, 2021, 122: 1-
18.
[2] TOLEDO T, MUSICANT O, LOTAN T. In-vehicle data
recorders for monitoring and feedback ondrivers' behavior
[J]. Transportation Research Part C: Emerging
Technologies, 2008, 16(3): 320-331.
[3] MEHDIZADEH A, YAZDI M, CAI M, et al. Predicting
unsafe driving risk among commercial truck drivers
using machine learning: Lessons learned from the
surveillance of 20 million driving miles[J]. Accident
Analysis & Prevention, 2021, 159: 1-12.
[4] NIU S, UKKUSURI V. Risk assessment of commercial
dangerous-goods truck drivers using geolocation data:
Acase study in China [J]. Accident Analysis &
Prevention, 2020, 137: 1-14.
[5] GSUL M, 胡予红, 周旋, 等. 道路交通运输安全发展报告(2017) [J]. 中国应急管理, 2018, 12(2): 48-58. [GSUL
M, HU Y H, ZHOU X, et al. Road traffic safety
development report(2017) [J]. China Emergency
Management, 2018, 12(2): 48-58.]
[6] 侯海晶, 金立生, 关志伟, 等. 驾驶风格对驾驶行为的影响[J]. 中国公路学报, 2018, 31(4): 18-27. [HOU H J,
JIN L S, GUAN Z W, et al. Effects of driving style on
driver behavior[J]. China Journal of Highway
Transportation, 2018, 31(4): 18-27.]
[7] 熊坚, 施锦浩, 万华森. 人车路综合风险场模型构建及驾驶风格评估[J]. 交通运输系统工程与信息,
2021, 21(6): 105-114. [XIONG J, SHI J H, WAN H S.
Modeling of driver-vehicle-road integrated risk field and
driving style assessment[J]. Journal of Transportation
Systems Engineering and Information Technology, 2021,
21(6): 105-114.]
[8] 郝景贤, 余卓平, 赵治国, 等. 混合动力汽车驾驶风格识别的研究[J]. 汽车工程, 2017, 39(12): 1444-1450.
[HAO J X, YU Z P, ZHAO Z G, et al. A Study on the
driving style recognition of hybrid electric vehicle[J].
Automotive Engineering, 2017, 39(12): 1444-1450.]
[9] 徐婷, 张香, 张亚坤, 等. 基于 AdaBoost 算法的货车驾驶人安全倾向性分类[J]. 安全与环境学报, 2019, 19
(4): 1273-1281. [XU T, ZHUANG X, ZHANG Y K, et al.
Truck driver safety tendency classification based on the
AdaBoost algorithm[J]. Journal of Safety and
Environment, 2019, 19(4): 1273-1281.]
[10] 朱冰, 蒋渊德, 邓伟文, 等. 基于KL散度的驾驶员驾驶习性非监督聚类[J]. 汽车工程, 2018, 40(11): 1317-
1323. [ZHU B, JIANG Y D, DENG W W, et al.
Unsupervised clustering of driving styles based on KL
divergence[J]. Automotive Engineering, 2018, 40 (11):
1317-1323.]
[11] FIGUEREDO G P, AGRAWAL U, MASE J M M, et al.
Identifying heavy goods vehicle driving styles in the
United Kingdom[J]. IEEE Transactions on Intelligent
Transportation Systems, 2019, 20(9): 3324-3336.
[12] 孙川, 吴超仲, 褚端峰, 等. 基于车联网数据挖掘的营运车辆驾驶速度行为聚类研究[J]. 交通运输系统工程与信息, 2015, 15(6): 82-87. [SUN C, WU C Z, CHUD F, et al. Driving speed behavior clustering for
commercial vehicle based on connected vehicle data
mining[J]. Journal of Transportation Systems Engineering
and Information Technology, 2015, 15(6): 82-87.]
[13] 王海星, 王翔宇, 王招贤, 等. 基于数据挖掘的危险货物运输风险驾驶行为聚类分析[J]. 交通运输系统工程与信息, 2020, 20(1): 183-189. [WANG H X, WANG X
Y, WANG Z X, et al. Dangerous driving behavior
clustering analysis for hazardous materials transportation
based on data mining[J]. Journal of Transportation
Systems Engineering and Information Technology, 2020,
20(1): 183-189.]
[14] ZHENG K, ZHENG Y, XIE X, et al. Reducing
uncertainty of low-sampling-rate trajectories[C]// 28th
International Conference on Data Engineering, Arlington,
VA: IEEE, 2012: 1144-1155.
[15] 中华人民共和国交通运输部.道路运输车辆动态监督管理办法[EB/OL]. (2019-12-31) [2022-02-03]. http://
jtw. beijing. gov. cn/xxgk/flfg/zcfg/201912/t20191231_
1547577.html. [Ministry of Transport of the People's
Republic of China. Measures for dynamic supervision
and management of road transport vehicles [EB/OL].
(2019- 12- 31) [2022- 02- 03]. http: //jtw.beijing.gov.cn/
xxgk/flfg/zcfg/201912/t20191231_1547577.html.]
[16] YU R, LONG X, LI J. Driving style analyses for carsharing users utilizing low-frequency trajectory data[C]//
5th International Conference on Transportation
Information and Safety (ICTIS), Liverpool: IEEE, 2019:
927-933.
[17] WANG Q, ZHANG R, WANG Y, et al. Machine learningbased driving style identification of truck drivers in openpit mines[J]. Electronics, 2019, 9(1): 19-42.
[18] NADERI H, NASSIRI H, SAHEBI S. Assessing the
relationship between heavy vehicle driver sleep problem
and confirmed driver behavior measurement tools in Iran
[J]. Transportation Research Part F: Traffic Psychology
and Behaviour, 2018, 59: 57-66.
[19] 中华人民共和国国务院. 中华人民共和国道路交通安全法实施条例[EB/OL]. (2020-12-27). [2022-02-
03]. http: //www. gov. cn/ zhengce/ 2020-12/27/content_
5574617.html. [The State Council of the People's
Republic of China. Regulations on the implementation of
the road traffic safety law of the People's Republic of
China[EB/OL]. (2020-12-27). [2022-02-03] http://www.
gov.cn/zhengce/2020-12/27/content_5574617.html.]
|