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作者:

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

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EI Scopus

摘要:

In this paper, we discuss the impacts of the fog warning systems on driving behavior and traffic safety under different fog conditions. Firstly, in order to obtain the driving data, an empirical driving simulator platform was established based on a real-world road in Beijing. The comparison study was conducted for eight scenarios which comprise four warning systems under fog conditions. Thirty-five test drivers drove an instrumented vehicle eight times, 2 fog conditions (light fog, heavy fog) × 4 systems (No warning, Dynamic Message Sign only, On-Board Unit only, On-Board Unit Dynamic Message Sign). The results show that intelligent warning systems could be beneficial to driving behavior and traffic safety. Meanwhile, the vehicle-to-vehicle warning system can significantly optimize individual driving behavior. It is suggested that proper warning systems should be considered for different fog conditions since they have different effect. The study results are helpful to select proper information release form in the context of connected vehicle. © 2019 IEEE.

关键词:

Accident prevention Advanced traveler information systems Fog Highway traffic control Intelligent systems Traffic signs Vehicles

作者机构:

  • [ 1 ] [Chang, Xin]Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing; 100124, China
  • [ 2 ] [Li, Haijian]Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing; 100124, China
  • [ 3 ] [Rong, Jian]Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing; 100124, China
  • [ 4 ] [Zhao, Xiaohua]Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing; 100124, China
  • [ 5 ] [Zhao, Guoqiang]Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing; 100124, China

通讯作者信息:

  • [li, haijian]beijing university of technology, beijing key laboratory of traffic engineering, college of metropolitan transportation, beijing; 100124, china

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年份: 2019

页码: 2154-2159

语种: 英文

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