BLISS: Big Data Leveraged Intersection Safety System

Description:

BLISS integrates advanced sensing, data fusion, and predictive analytics to anticipate, prevent, and mitigate unsafe conditions at intersections, prioritizing the safety of drivers and vulnerable road users. Utilizing a combination of high-resolution cameras, LiDAR, radar, and machine learning algorithms, BLISS offers a comprehensive approach to improving traffic safety by accurately predicting vehicle and pedestrian movements to prevent potential accidents.

Key Advantages:

• Real-time detection and classification of vehicles and vulnerable road users.
• Advanced risk assessment incorporating historical crash data and traffic volume analysis.
• Equity considerations to ensure benefits are distributed across communities.
• Cost-effective implementation for widespread deployment.
• Adaptive learning for continuous improvement based on real-world performance.

Problems Solved:

• Reduces the likelihood of intersection-related accidents and fatalities.
• Addresses the challenge of comprehensive situational awareness at intersections.
• Improves safety for vulnerable road users through anticipatory warning systems.
• Facilitates safer, more efficient intersection crossing decisions.
• Ensures equitable safety improvements across diverse communities.

Market Applications:

• Smart city infrastructure and urban planning.
• Automotive safety systems and autonomous vehicle technologies.
• Public transportation system enhancements.
• Traffic management and control systems.
• Policy development and implementation for pedestrian and cyclist safety.