Railway Emergency Communication
One press floods every cab, dispatcher and handheld in the emergency area — location-scoped, pre-emptive, sub-second call setup.
FRS §10.11 · FIS §4.3Applications
The complete UIC FRMCS v2.1 application catalogue — every box in FIS Figure 2 — implemented symmetrically trackside and on-board, and carried across all three skies.
▶ Click any application to watch it work — an animated 3D walkthrough opens for that application.
GSM-R's voice heritage, rebuilt on 3GPP mission-critical push-to-talk — group calls, priority, pre-emption and location-driven call routing.
One press floods every cab, dispatcher and handheld in the emergency area — location-scoped, pre-emptive, sub-second call setup.
FRS §10.11 · FIS §4.3Point-to-point and group voice between drivers, signallers and control — functional addressing by train number, not phone number.
FRS §10.2 · TS 24.379Link-assured group voice for shunting teams — handhelds and shunting-loco cabs, with continuous link supervision.
FRS §10.8 · FIS §4.4Driver Safety Device events auto-raise an SOS voice path to dispatch — the pedal is pressed, the network is already talking.
FRS §5.1, §11.34The applications where FRMCS earns its "future railway" name: ETCS/ATP and ATO signalling over IP, guarded by railway-grade key management and PKI.
Automatic Train Protection traffic between EVC and RBC over FRMCS — the migration path off GSM-R circuit data, per ERA Subset-037/-098.
FRS §11.4 · Subset-037Automatic Train Operation up to GoA4: journey profiles down, status up — energy-optimal driving computed corridor-wide.
FRS §11.5 · Subset-037-3Key management for mission-critical services — identity-based crypto (ECCSI/SAKKE), key requests and rotation per TS 33.180.
SRS §15 · TS 33.180A railway certificate authority with HSM backing — enrolment and lifecycle for every train, RBC, drone cell and trackside gateway.
SRS §15.4–15.6Train Control & Management System telemetry off the train bus (TRDP/MVB) to depot diagnostics — predictive maintenance fuel for the AI layer.
FIS §4.5 · Subset-147Announcements and displays synchronised across train and station from one workstation — delays explained before passengers ask.
FRS §11.33Geofenced approach warnings to trackworker handhelds and lookout devices — the train announces itself to the people on the line.
FRS §11.7Safety-critical advisories to DMI and dispatcher — acknowledged, prioritised, audited.
FRS §11.15Connected driver advisory: energy-optimal speed profiles streamed to the cab, fed by the corridor digital twin.
FRS §11.25H.264/H.265 over RTP from cab, saloon and trackside cameras — live to control on demand, archives offloaded via drone cell or satellite.
FRS §12 · RFC 6184/7798A train at speed needs 1–3 km to stop — further than any sensor sees, and around curves no sensor can. So FRMCS.ai layers perception across the whole corridor and lets the network share what every eye sees, in seconds.
The Jetson Orin cab radio carries a multi-modal forward head — high-speed, day/night and thermal cameras with lidar and radar, fused on the GPU. Obstacles, crossing intrusions and rockfall detected at source; the enabler for driverless GoA3/4.
Jetson Orin · TensorRT fusion · IEC 62290When Elastic Sky is airborne — over an incident or a corridor without towers yet — its perception pod scans kilometres ahead of approaching trains, around curves and over crests. One tether, two missions: coverage + eyes.
Aerial perception · Elastic SkyFixed camera/lidar at level crossings, platform edges, tunnel portals and landslide zones — inference at the edge, detections reported through the IoT plane.
oneM2M · edge inferenceDetections travel train-to-train and train-to-trackside over FRMCS, V2X-style, and land in the corridor twin — a hazard seen by one train warns every train behind it.
FRS §11.15 · §11.7 advisoriesPerception informs; certified logic decides. Detections flow as critical advisories to drivers, dispatchers and ATO at network speed — while any brake-triggering path remains a separately certified SIL safety function (EN 5012x). Models improve continuously without reopening the vital safety case.
A oneM2M IoT layer federates wayside sensing into the same platform: axle counters, hot-box detectors, point machines, level-crossing monitors and lone-worker devices report through station-level CSEs to the control centre — and every reading sharpens the AI's picture of the railway.
Every application exists trackside and on-board, exactly as UIC FIS Figure 2 draws it — ask us for the module-by-module compliance map.