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Train Control Infrastructure Predictive Analytics System

Overview


Data Analytics, AI & Cloud Hosting
California, United StatesPosted: August 7, 2026Deadline: September 21, 2026

Settle Signals


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SUMMARY


The agency is seeking a predictive analytics and remote condition monitoring platform for LA Metro train control infrastructure. The system must monitor multiple wayside assets, predict failures, provide configurable alarms and dashboards, and support secure cloud or local processing.

DESCRIPTION


The agency seeks a vendor to provide a remote condition monitoring and predictive analytics system for train control wayside infrastructure. The system must support real-time monitoring and predictive analysis of LA Metro train control assets, including switch machines, interlockings, track circuits, grade crossings, batteries, and ground faults.

The solution must include the hardware, software, associated components, and cabling required to collect, monitor, record, analyze, and predict asset conditions. Required capabilities include automatically generated or manually configured alarm thresholds, asset trend and performance charts, early identification of failure conditions, fault prediction, and comprehensive system reporting. The system must also support alerts and reports through email or text messages.

The solution should be expandable and future-proof, with the ability to add monitoring for additional factors through sensors such as vibration, angle, and temperature. Data acquisition units must communicate through Ethernet or Wi-Fi routers. Vendors must provide flexible cloud or local processing options, along with data protection features including encryption and user credentials.

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Frequently asked questions


When is the submission deadline?
Submissions are due September 21, 2026.
Who is a good fit for this opportunity?
  • Experience developing predictive analytics and remote condition monitoring systems
  • Proven expertise in railway signaling, train control, or wayside infrastructure
  • Capability to deliver integrated hardware, software, sensors, and communications components
  • Experience with real-time monitoring, automated alarm thresholds, dashboards, and predictive maintenance
  • Strong cloud, edge-processing, cybersecurity, encryption, and access-control capabilities
  • Ability to provide scalable systems supporting future sensors and asset types

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