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Using a V2V- and V2I-based collision warning system to improve vehicle interaction at unsignalized intersections
Yan Huang1, Yun Wang1, Xuedong Yan1
1MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
Journal of Safety Research
|December 8, 2022
Summary
A new warning system using vehicle-to-vehicle and vehicle-to-infrastructure communication effectively reduces collisions at unsignalized intersections. This connected vehicle technology enhances driver safety by improving decision-making and reducing near-crashes.
Area of Science:
- Road safety
- Traffic engineering
- Human-computer interaction
Background:
- Unsignalized intersections are high-risk areas for traffic collisions.
- Existing safety measures are insufficient to prevent frequent accidents.
Purpose of the Study:
- To design and evaluate a connected vehicle-based collision warning system for unsignalized intersections.
- To improve driver performance and safety through Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication.
Main Methods:
- A driving simulator experiment with 48 participants in 24 pairs.
- Assessed performance under conditions with and without the Unsignalized Intersection Collision Warning System (UICWS).
- Evaluated the impact of standard versus improved Intersection Field of View (IFOV).
Main Results:
- The UICWS significantly reduced right-angle collisions and near-collisions.
- Improved IFOV aided drivers in making earlier crossing decisions and smoother speed adjustments.
- Collision risks escalated when vehicles approached intersections at similar distances without prior action.
Conclusions:
- The developed UICWS effectively mitigates collisions and near-collisions in connected vehicle environments.
- Findings support the development of active intervention strategies for safer intersection navigation.
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