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Journal of Intelligent and Connected Vehicles 2021, 4(2): 41-51 https://doi.org/10.1108/JICV-11-2020-0012
Research paper | Open Access | Issue | Published: 03 June 2021

Evaluation of fog warning system on driving under heavy fog condition based on driving simulator

Show Author's Information Xiaohua Zhao1,  Xuewei Li1,  Yufei Chen2,  Haijian Li3( ),  Yang Ding3
Beijing University of Technology, Beijing, China and Tsinghua University State Key Laboratory of Automotive Safety and Energy, Beijing, China
China Automotive Engineering Research Institute, Beijing, China
Beijing University of Technology, Beijing, China
Keywords:
Driving simulator, Heavy fog conditions, Fog warning system, Dynamic message sign, Driver performance
Cite this article:
Zhao X, Li X, Chen Y, et al. Evaluation of fog warning system on driving under heavy fog condition based on driving simulator. Journal of Intelligent and Connected Vehicles, 2021, 4(2): 41-51. https://doi.org/10.1108/JICV-11-2020-0012
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Abstract Full text About this article
Purpose

Heavy fog results in low visibility, which increases the probability and severity of traffic crashes, and fog warning system is conducive to the reduction of crashes by conveying warning messages to drivers. This paper aims at exploring the effects of dynamic message sign (DMS) of fog warning system on driver performance.

Design/methodology/approach

First, a testing platform was established based on driving simulator and driver performance data under DMS were collected. The experiment route was consisted of three different zones (i.e. warning zone, transition zone and heavy fog zone), and mean speed, mean acceleration, mean jerk in the whole zone, ending speed in the warning zone and transition zone, maximum deceleration rate and mean speed reduction proportion in the transition zone and heavy fog zone were selected. Next, the one-way analysis of variance was applied to test the significant difference between the metrics. Besides, drivers’ subjective perception was also considered.

Findings

The results indicated that DMS is beneficial to reduce speed before drivers enter the heavy fog zone. Besides, when drivers enter a heavy fog zone, DMS can reduce the tension of drivers and make drivers operate more smoothly.

Originality/value

This paper provides a comprehensive approach for evaluating the effectiveness of the warning system in adverse conditions based on the driving simulation test platform. The method can be extended to the evaluation of vehicle-to-infrastructure technology in other special scenarios.


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Abstract
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About this article

Evaluation of fog warning system on driving under heavy fog condition based on driving simulator

Show Author's information Xiaohua Zhao1, Xuewei Li1, Yufei Chen2, Haijian Li3( ), Yang Ding3
Beijing University of Technology, Beijing, China and Tsinghua University State Key Laboratory of Automotive Safety and Energy, Beijing, China
China Automotive Engineering Research Institute, Beijing, China
Beijing University of Technology, Beijing, China

Abstract

Purpose

Heavy fog results in low visibility, which increases the probability and severity of traffic crashes, and fog warning system is conducive to the reduction of crashes by conveying warning messages to drivers. This paper aims at exploring the effects of dynamic message sign (DMS) of fog warning system on driver performance.

Design/methodology/approach

First, a testing platform was established based on driving simulator and driver performance data under DMS were collected. The experiment route was consisted of three different zones (i.e. warning zone, transition zone and heavy fog zone), and mean speed, mean acceleration, mean jerk in the whole zone, ending speed in the warning zone and transition zone, maximum deceleration rate and mean speed reduction proportion in the transition zone and heavy fog zone were selected. Next, the one-way analysis of variance was applied to test the significant difference between the metrics. Besides, drivers’ subjective perception was also considered.

Findings

The results indicated that DMS is beneficial to reduce speed before drivers enter the heavy fog zone. Besides, when drivers enter a heavy fog zone, DMS can reduce the tension of drivers and make drivers operate more smoothly.

Originality/value

This paper provides a comprehensive approach for evaluating the effectiveness of the warning system in adverse conditions based on the driving simulation test platform. The method can be extended to the evaluation of vehicle-to-infrastructure technology in other special scenarios.

Keywords: Driving simulator, Heavy fog conditions, Fog warning system, Dynamic message sign, Driver performance

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Publication history
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Publication history

Received: 04 November 2020
Revised: 04 March 2021
Accepted: 12 March 2021
Published: 03 June 2021
Issue date: September 2021

Copyright

© 2021 Xiaohua Zhao, Xuewei Li, Yufei Chen, Haijian Li and Yang Ding. Published in Journal of Intelligent and Connected Vehicles. Published by Emerald Publishing Limited.

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This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode

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