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Evaluating the effectiveness of rhythmic visual guidance technology for mitigating driving risks in highway tunnel
Haoran Zheng1, Zhigang Du2, Chengfeng Jia3
1School of Industrial Design, Hubei University of Technology, 28# Nanli Road, Wuhan, Hubei 430068, China.
Accident; Analysis and Prevention
|January 31, 2025
Summary
Rhythmic visual guidance (RVG) technology reduces driving risks in highway tunnel groups by using dynamic cues. This adaptive system improves driver control and regulates speed, offering a safer alternative to static signals and excessive lighting.
Area of Science:
- Transportation Engineering
- Human Factors in Driving
- Traffic Safety Systems
Background:
- Highway tunnel groups present complex driving environments with frequent changes, increasing risks.
- Traditional visual guidance systems often use static signals, which are less effective in dynamic tunnel conditions.
- Driver adaptation to tunnel environments is crucial for mitigating risks and improving traffic flow.
Purpose of the Study:
- To propose and evaluate a novel adaptive method, rhythmic visual guidance (RVG) technology, for mitigating driving risks in highway tunnel groups.
- To integrate drivers' preferences for rhythmic information with tunnel structure characteristics for enhanced safety.
- To investigate the effectiveness of RVG in improving driver awareness and control within tunnel environments.
Main Methods:
- Developed an adaptive method using rhythmic visual guidance (RVG) technology.
- Employed fuzzy mathematics to quantify and prioritize rhythmic forms for visual guidance.
- Simulated and analyzed RVG effectiveness using metrics like lateral offset, driving speed, and vehicle acceleration.
Main Results:
- RVG technology significantly reduces vehicle lateral offset and enhances driver control of tunnel sidewalls and trajectories.
- RVG effectively regulates driving speed, decreasing it regardless of lighting conditions and showing insignificant variation in speed distribution.
- Increased lighting levels did not necessarily improve stability and could increase costs and risks.
Conclusions:
- RVG technology offers a practical and effective solution for enhancing traffic operation and safety management in highway tunnel groups.
- The study provides valuable insights for the low-carbon design of tunnel groups by optimizing visual guidance.
- RVG demonstrates superior performance compared to static guidance and highlights potential drawbacks of solely increasing lighting levels.
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