Roadway User Safety

Harness GenAI to anticipate high-risk areas and generate empirically validated safety measures for vulnerable roadway user safety. The project focuses on capturing spatial-temporal dynamics, uncovering regional trends, and pinpointing critical hotspots to proactively address safety issues.

Approach To Achieve User Safety Using PeopleSense

Data Collection and Deep Learning Techniques

The dataset is analyzed using cutting-edge deep learning techniques from PeopleSense.AI to extract valuable insights. By analyzing vast datasets, the PeopleSenseTM algorithms identify patterns and predict high-risk locations for Vulnerable Road User (VRUs).

Proactive Safety Measures

By comparing characteristics of crash sites, such as roadway geometry, traffic and VRU behaviors, traffic counts, crash data, speed profiles, and lighting conditions, the PeopleSense.AI proactively discerns conflict patterns. This enables transportation operators and engineers to anticipate safety issues in advance and address them more quickly.

Safety Recommendation System

The system generates recommendations for safety measures and infrastructure improvements for integration into Caltrans’ systems for implementation. A Monitoring & Reporting Module tracks the outcomes of implemented measures and reports on the system’s performance.

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Managed Cloud Environments

The solution systems, including databases and additional components, will be integrated and hosted within a managed cloud environment to ensure centralized management and security.

Security Tools and Technologies

Security Tools and technologies will be employed to implement security measures and ensure compliance. This includes adherence to the required Cloud Security Guide, which outlines robust security measures.

Monitoring and Reporting Tools

Tools will be put in place for monitoring and reporting on GenAI solution prompt inputs, responses, and system performance. This ensures factual accuracy, coherence, and appropriateness in the AI-generated responses.

GenAI integration for a comprehensive solution that aligns PeopleSense algorithms with the goals of improving transportation safety, addressing high-risk areas, and facilitating infrastructure improvements.
This outlines a robust framework for enhancing safety on US roadways.