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作者:

Li, Haijian (Li, Haijian.) | Li, Yuxuan (Li, Yuxuan.) | Chen, Kaiqun (Chen, Kaiqun.) | Zhao, Xiaohua (Zhao, Xiaohua.)

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EI Scopus SCIE

摘要:

The foggy freeway is a scenario with a high incidence of accidents. Different traffic flow conditions will affect the driving behavior of conditionally autonomous vehicle drivers in the foggy areas of the freeway. In this study, the experiment was carried out by using the driving simulation system. Forty-two participants drove on a foggy freeway according to two traffic conditions and two non-driving related tasks. Wilcoxon Signed-Rank Test and Survival Analysis were applied to explore the impact. The results show that the effects of different non-driving related tasks on driving behavior are mainly concentrated in the takeover process; The deceleration reaction time of the free flow (6.04 s) is much lower than that of bound flow (9.40 s); In the condition of bound flow, the driver is more inclined to slow down without braking. Potential application areas of this research comprise safety assessment of conditional autonomous driving and formulating autonomous driving policy.

关键词:

Traffic flow Driver behavior Survival analysis Driving simulator Fog zone L3 autonomous vehicle

作者机构:

  • [ 1 ] [Li, Haijian]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guaran, Beijing, Peoples R China
  • [ 2 ] [Li, Yuxuan]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guaran, Beijing, Peoples R China
  • [ 3 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guaran, Beijing, Peoples R China
  • [ 4 ] [Chen, Kaiqun]Guangxi Xinfazhan Commun Grp Co Ltd, Guangxi, Peoples R China
  • [ 5 ] [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guaran, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guaran, Beijing, Peoples R China;;[Zhao, Xiaohua]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Engn Res Ctr Urban Transport Operat Guaran, Beijing 100124, Peoples R China;;

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来源 :

MEASUREMENT

ISSN: 0263-2241

年份: 2022

卷: 207

5 . 6

JCR@2022

5 . 6 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:49

JCR分区:1

中科院分区:2

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次: 7

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 7

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