SALROW is a cloud-native predictive routing system that warns the right civilian drivers, at the right moment, when an ambulance, fire truck, or police vehicle is heading their way.
Modern cars are sound-insulated. Drivers wear earbuds and watch navigation. Crowdsourced reports lag behind reality. Every second of delayed clearance increases mortality in cardiac, trauma, stroke, and fire emergencies.
Road-network-constrained corridor generation that adapts width to speed, lane count, and density.
Time-to-intersection, relative velocity, and topology factors decide who actually gets pinged.
Civilian app + emergency-vehicle app. No retrofits. No roadside boxes. No municipal capex.
The SALROW pipeline runs end-to-end in under a second, from the moment an emergency vehicle activates to the moment the right civilian driver sees an alert.
When the siren or lights engage, or speed crosses a threshold, the in-cab app begins streaming GPS, velocity, heading, and unit type to the cloud.
Telemetry is validated against cryptographic fleet credentials. Spoofed feeds are rejected before any corridor is generated.
The Cloud Prediction Engine projects a dynamic, road-network-constrained corridor. Width adapts to speed, lane count, and urban density.
For every device with a projected path intersecting the corridor, the system computes a risk score from time-to-intersection, relative velocity, directionality, and topology.
Audio-visual alerts fire only on the phones that actually need them, ranked by risk, with the highest urgency at the top.
On run completion, location data is purged. Privacy is built into the lifecycle, not bolted on after.
SALROW splits the work between an in-cab app, a cloud prediction engine, and civilian-side delivery, so the heavy lifting never sits on a phone.
High-throughput stream processing of GPS, velocity, heading, and unit metadata from enrolled fleet devices.
Directed graph of intersections and segments with lane count, speed limit, classification, and directionality attributes.
Generates dynamic predictive corridors constrained to navigable topology, with width responsive to speed and density.
Computes per-device time-to-intersection, relative-velocity, directionality, and road-topology factors.
Each alert ships as a distinctive beep tone plus a high-contrast on-screen visual message, so deaf and hard-of-hearing drivers receive the same warning at the same instant. Multilingual visual prompts are on the roadmap.
Cryptographic tokens per fleet vehicle. Revocable, scoped, and required before any corridor is generated.
A walkthrough of the SALROW prototype, from emergency vehicle activation to a targeted alert landing on a civilian phone.
Trigger detection, telemetry streaming, fleet authentication.
Live corridor generation and per-device risk scoring.
Priority-ranked, audio-visual alerts with directional context.
A two-app demonstration: an emergency-vehicle dashboard streaming telemetry to the cloud, and a civilian phone receiving a priority-ranked alert seconds before the vehicle arrives.
SALROW is built for emergency services agencies, municipal fleets, and platform partners. Tell us about your jurisdiction and we'll be in touch.
A founder note from Vamsi Gorle, inventor of SALROW.
On the way to my university, I heard a siren that sounded far away. I was ready to give the right of way as soon as I saw the vehicle. Then it suddenly crossed me, leaving less than two seconds to react. Modern cabins, soundproof glass, music in the car, and the simple fact that you cannot tell which direction a siren is coming from at an intersection, all of it adds up to a dangerous gap.
I went and spoke with ambulance and fire truck drivers. I explained the idea: what if civilian drivers were notified before the emergency vehicle reaches them, so they can clear the lane in time? I asked them about their real challenges on the road. The pattern was unmistakable. Faster clearance means faster, safer response, and lives saved.
I designed and built a working two-app prototype. An emergency-side app streams telemetry to the cloud. A civilian-side app receives a priority-ranked alert, a distinctive beep tone paired with a clear visual message for deaf and hard-of-hearing drivers, seconds before the vehicle arrives.
I returned to the same fire and ambulance teams and demonstrated how it works. They loved it. Their message was simple: this should go live, because it can save lives, and every second matters.
Give every driver enough warning to clear the lane safely, so first responders reach the emergency faster, and more people make it home.