Driving risks assessment and in-vehicle warning design for improving work zone safety.

Area of Science:

• Traffic Safety Engineering
• Human Factors in Transportation
• Intelligent Transportation Systems

Background:

• Work zones pose significant risks to drivers and road workers due to their complex and dynamic environments.
• Existing warning systems may not adequately address the nuanced behavioral changes required for safe navigation through work zones.
• Lane-changing maneuvers within work zones are a critical safety concern, often influenced by approach behaviors.

Purpose of the Study:

• To develop and evaluate a novel two-stage in-vehicle warning system designed to optimize driver behavior approaching work zones.
• To investigate the impact of the two-stage warning system on driver approach speed, headway distance, and lane-changing initiation points.
• To assess the effectiveness of the warning system in mitigating lane-changing risks under varying speed limits and visibility conditions.

Main Methods:

• A driving simulation experiment was conducted with 38 participants under controlled conditions, manipulating warning modes, speed limits, and visibility.
• Generalized Estimating Equation (GEE) models were used to analyze driver behavior during the approaching phase.
• Fuzzy C-Means (FCM) clustering was applied for risk assessment, followed by an influencing analysis to link approach behavior to lane-changing risk.

Main Results:

• The two-stage warning system significantly reduced average approaching speed by 2.25% and increased headway distance by 19.02% compared to baseline.
• Drivers initiated lane-changing maneuvers approximately 42.8 meters earlier on average with the two-stage warning, reducing overall risk.
• Higher speeds and fog conditions exacerbated risks, underscoring the importance of the advanced warning system.

Conclusions:

• The two-stage in-vehicle warning system effectively enhances driver behavior in work zones, leading to safer approach and lane-changing maneuvers.
• The system provides a practical foundation for developing advanced in-vehicle warning technologies to improve work zone safety.
• Findings highlight the need for adaptive warning strategies that consider speed and visibility to mitigate risks in dynamic work zone environments.