Collision Avoidance System for Light Rail Vehicles

The purpose of this Request for Information (RFI) is to gather insights into available technologies, system capabilities, implementation requirements, and vendor qualifications for advanced collision avoidance systems designed for light rail transit operations. Valley Metro is seeking information on existing or innovative solutions to enhance safety, reduce collision risks, and improve operational efficiency across its light rail and streetcar system. The RFI is interested in systems capable of real-time detection, prediction, and mitigation of potential collisions involving trains, vehicles, pedestrians, and obstacles. • System Description: overview of the collision avoidance solution, core technologies, system architecture, and components • Capabilities: real-time object detection and classification, predictive analytics, automatic warning and/or intervention mechanisms, performance in various environmental conditions • Integration: compatibility with existing rail systems, communication protocols, cybersecurity features • Deployment & Implementation: installation requirements, scalability, timeline for deployment • Safety & Compliance: compliance with relevant rail safety standards, certifications, fail-safe and redundancy mechanisms • Data & AI Model Management: data requirements, model training, updates, continuous learning capabilities • Maintenance & Support: ongoing maintenance requirements, software updates, lifecycle support, training for staff • Performance Metrics: detection accuracy rates, false positive/negative rates, response times • Case Studies / References: previous deployments, measurable safety improvements, lessons learned • Cost Information (Optional): high-level pricing structure, licensing, hardware, implementation costs