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Author:

Dai, Yibo (Dai, Yibo.) | Bian, Yang (Bian, Yang.) | Wu, Yiping (Wu, Yiping.) | Zhao, Xiaohua (Zhao, Xiaohua.) (Scholars:赵晓华) | Zhang, Jianhua (Zhang, Jianhua.)

Indexed by:

EI Scopus SCIE

Abstract:

In order to meet the visual guidance needs of drivers and improve the traffic safety of foggy bridges, a prevention and control strategy with active visual guidance as the core was proposed. To verify its safety efficiency and the impact on drivers in case of emergency based on risk recognition process, the typical environment of the E'dong Yangtze River Bridge was considered as an example and experimental tests based on a driving simulator were performed. The results show that the strategy significantly improves the drivers' psychological perception and behavioral performance. When the driver encounters an emergency, the strategy can alleviate the urgency of the event and reduce the risk of collision. The effect of high brightness is better than low brightness. This study realizes safety evaluation of the prevention and control strategy, and the configuration optimization of intelligent guidance lamps for foggy bridges. It provides a reference for traffic risk prevention of bridges.

Keyword:

Driving performance Active visual guidance Foggy bridge Driving simulator Emergency

Author Community:

  • [ 1 ] [Dai, Yibo]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Bian, Yang]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Wu, Yiping]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Zhao, Xiaohua]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Jianhua]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

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Source :

MEASUREMENT

ISSN: 0263-2241

Year: 2023

Volume: 217

5 . 6 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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