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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.)

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CPCI-S

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) x 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.

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Author Community:

  • [ 1 ] [Chang, Xin]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Haijian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 3 ] [Rong, Jian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 4 ] [Zhao, Xiaohua]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 5 ] [Zhao, Guoqiang]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Li, Haijian]Beijing Univ Technol, Beijing Key Lab Traff Engn, Coll Metropolitan Transportat, Beijing 100124, Peoples R China

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Source :

2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC)

ISSN: 2153-0009

Year: 2019

Page: 2154-2159

Language: English

Cited Count:

WoS CC Cited Count: 0

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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