FIRST RESPONDERS
Know What's Ahead Before You Reach the Crossing
A REAL RESPONSE ISSUE
Blocked Crossings Can Delay Emergency Response
A blocked railroad crossing isn’t simply a traffic inconvenience. For police, fire, EMS, and other emergency personnel, an incident, hospital, or other critical destination.
The Federal Railroad Administration recognizes blocked crossings as an issue that can hinder emergency services and encourages first responders to understand the railroad crossings within their jurisaletions and incorporate rall considerations into emergency response planning.
90%
of responder delays at rail crossings were eliminated in an FRA-sponsored study using real-time and pre-active crossing information. Source: Federal Railroad Administration, DOT/FRA/ORD-25/02.
Real-Time Crossing Status for Better Situational Awareness
Oculus Rail’s AI-enabled, solar-powered sensors independently monitor railroad crossings and identify when a train blocks the roadway and when the crossing clears. That information gives public safety teams a real-time picture of crossing status, supporting more informed routing decisions.
KNOW
See whether monitored railroad crossings are blocked or clear.
ROUTE
Use current crossing status to support informed routing decisions.
RESPOND
Reduce the chance of discovering an unexpected blockage.
Supporting Every Part of the Response
Fire and Rescue
Help crews identify blocked monitored crossings before they encounter them on the way to an incident.
Emergency Medical Services
Support routing decisions when transporting personnel or patients through communities divided by active rail corridors.
Law Enforcement
Improve awareness of railroad crossing activity during emergency response and other time-sensitive operations.
Emergency Dispatch & 911
Give dispatch operations another source of real-time transportation intelligence to support situational awareness.
A Proven, Standalone Solution
Oculus Rail sensors are installed adjacent to railroad crossings and operate independently of railroad signaling infrastructure. Each unit uses AI-enabled computer vision to determine when a train blocks the roadway and when the crossing clears. Solar power and cellular connectivity allow the system to operate as a self-contained roadside monitoring solution.