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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

  • 李海舰

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

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Source :

Year: 2019

Page: 2154-2159

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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