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作者:

Chang, Xin (Chang, Xin.) | Rong, Jian (Rong, Jian.) (学者:荣建) | Li, Haijian (Li, Haijian.) | Wu, Yiping (Wu, Yiping.) | Zhao, Xiaohua (Zhao, Xiaohua.)

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SSCI EI SCIE

摘要:

In view of the benefits and a promising prospect of the emerging connected vehicles (CV), more and more vehicles will be equipped with the in-vehicle human-machine interface (HMI). This study aims to assess the comprehensive impacts of HMIs on individual driving performance, traffic safety, and eco-driving behaviour based on a driving simulator. In order to explore how a driver responds to warnings when approaching a tunnel, this study divided the experimental road into five zones according to warning positions. A comparative analysis was conducted to examine the changes in driving comfort, speeding behaviour, the standard deviation of speed, time headway (THW), fuel consumption, and emissions. Results showed that the HMI could be beneficial to speed adjustment before entering a tunnel. Meanwhile, HMI may affect the THW of vehicles. Drivers were usually more cautious when the HMI was on. However, no significant effects of the HMI for driving comfort and eco-driving behaviour can be observed. It is expected that more efficient technology and different warning strategies can be developed to enhance eco-safe driving for different zones because they have different effects. The findings of this study are also helpful for active safety management and for evaluating the effectiveness of CV systems. © 2021 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology

关键词:

Automobile drivers Highway traffic control Vehicle performance

作者机构:

  • [ 1 ] [Chang, Xin]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Rong, Jian]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Li, Haijian]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Wu, Yiping]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhao, Xiaohua]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China

通讯作者信息:

  • [li, haijian]beijing key laboratory of traffic engineering, beijing university of technology, beijing, china

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来源 :

IET Intelligent Transport Systems

ISSN: 1751-956X

年份: 2021

期: 3

卷: 15

页码: 423-431

2 . 7 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:9

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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