Artificial Intelligence Intersection Video Analytics

The Regional Transportation Commission of Southern Nevada is seeking proposals for an Artificial Intelligence Intersection Video Analytics system, funded through the USDOT FY 22 SMART Grant initiative aimed at enhancing traffic safety and efficiency. The project involves deploying AI and machine learning technologies to analyze existing camera feeds from RTC FAST, with the goal of gaining detailed insights into intersection operations, near-miss incidents involving pedestrians, bicyclists, and vehicles, including transit and emergency vehicles, as well as red light running and traffic volume data. The collected analytics will be accessible via a web-based platform, providing RTC with critical data on incident rates and severity, thereby supporting safety improvements and operational decision-making. The solicitation, posted under number 24-262J-1 Addendum 1, is open to qualified vendors and emphasizes compliance with procurement rules, cybersecurity standards, and submission procedures. The contract is structured within the NAICS code 541715, indicating a focus on research and development in computer programming, with the response deadline set for February 15, 2024. The primary point of contact for inquiries is David Gloria, reachable via email and phone. This initiative aligns with broader efforts to leverage advanced analytics and AI to improve transportation safety and efficiency in Nevada, with the project’s progress and details accessible through the designated online portal.