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Fleet Ambulance Live tracking Life-safety

Live location for every vehicle, ambulance and critical asset.

Ops teams had no reliable, live view of where their fleet, ambulances or critical assets were — leading to ETA guesswork, misuse and unexplained delays. We built the GPS ingestion, live map and alerting layer — and plugged it straight into dispatch and CRM.

Live
Location per asset
Geo-fenced
Zones & alerts
Trustworthy
ETA to customers
Auditable
Every trip, every asset
The Problem

You can't manage what you can't see — especially in life-safety.

The gap between "we have GPS trackers" and "we actually run ops on them" is enormous. The problems ranged from operational to life-critical:

  • Dispatchers were coordinating vehicles over phone calls — with ETAs based on gut, not data.
  • Ambulance response times weren't measurable, which is unacceptable in emergency care.
  • Vehicles were sometimes used off-route or off-hours, and no one had proof.
  • Existing GPS device dashboards were siloed — not tied into CRM, dispatch or billing.
  • Alerts on idle, deviation, speeding or geo-fence entry were either missing or so noisy they were ignored.
The Solution

A tracking layer that plugs into the systems that already run the business.

Not another siloed dashboard — a GPS ingestion + live-map + alerting layer that integrates directly into dispatch, CRM and analytics.

📥

GPS ingestion

Vendor-agnostic ingestion — support multiple tracker protocols (TCP, HTTP, TK-family, custom) into a common event stream.

🗺️

Live map

All assets on one map, colour-coded by state (idle · moving · in-service · offline · fault). Filter by fleet, region, driver.

🚧

Geo-fencing

Custom zones — depot, service area, restricted zones. Alerts on entry, exit or dwell.

🕒

Route history & playback

Timeline of every trip with stops, idles, deviations — replayable for audits or disputes.

⏱️

ETA computation

Live ETA based on current location + traffic + historical patterns — shared with customers and dispatch.

🧑‍✈️

Driver behaviour

Speed, harsh braking, over-speeding, idle-with-engine-on — rolled up into a driver score.

🚨

Smart alerting

Severity-based routing to Slack / WhatsApp / SMS. Noise-suppressed so alerts still get read.

🔌

Dispatch & CRM integration

Every asset event pushed into the CRM and dispatch — no siloed dashboards for the ops team to check.

Architecture

Deployed architecture

Trackers → protocol adapters → normalised event stream → live-state store + history → dispatch, CRM & BI.

Trackers Vehicle · Ambulance GPS + engine data Critical asset Tag / device Driver / medic mobile Status updates · SOS Ingest Protocol adapters TCP / HTTP / TK / custom Per-vendor decoders Normaliser Unified event schema Rule / state engine Geo-fence · idle · deviation Driver-score aggregator Alert router Severity · channel · cool-down Data Live-state store Redis · last known pos Time-series Route history · playback PostgreSQL + PostGIS Assets · zones · users Clients Ops live map Dispatch · monitoring CRM integration Case → asset → live status Customer ETA feed API + tokenised link Alerts & BI Alerts → Slack / WhatsApp / SMS Severity-based · noise-suppressed · escalations BI dashboards · driver scores · fleet KPIs Response time · idle · deviation · utilisation Cloud & DevOps Autoscaled ingest workers · managed Postgres · Redis · TSDB · CI/CD · uptime + on-call · request/event tracing Backpressure-safe pipeline · retries · idempotent event handlers
Tracker / Edge
Ingest / Rules
Data
Client / Integration
Alerts / BI
Tech stack

Technologies used

Ingestion

Vendor-agnostic protocol adapters TCP / HTTP receivers Node.js / Go workers Idempotent handlers

Data

PostgreSQL + PostGIS Redis (live state) Time-series database

Frontend

React + Mapbox / Leaflet WebSockets for live updates Customer ETA link (tokenised)

Integrations

CRM / dispatch APIs Slack · WhatsApp · SMS alerts Google Maps / OSRM

Cloud & ops

Autoscaled ingest workers CI/CD Uptime + on-call Backpressure-safe pipeline
Screens shipped

Screens from the platform

fleet.trackops.io/live Fleet · 84 assets 62 Moving 14 Idle 3 Alert 5 Offline Amb-07 · KA-05-1123 Route deviation · 2 min Truck-22 · KA-01-4402 62 km/h · on route Amb-07 · deviation Off-route 380m · driver Rakesh Call driver Re-route
Web · Live fleet map
Every asset colour-coded by state, with instant alert on route deviation.
fleet.trackops.io/playback/Amb-07 Route playback · Amb-07 · Today Start · Depot Idle 6 min Deviation End · Hospital TRIP TIMELINE 08:02 · Depart depot 08:14 · Idle 6 minSignal, HSR Layout 08:22 · Deviation 380m 08:31 · Arrived hospital Trip summary 29 min · 12.4 km · avg 42 km/h ▶ Replay
Web · Route playback
Full trip timeline — stops, idles, deviations — with replay.
fleet.trackops.io/geofences Geo-fence · Manipal Whitefield zone Hospital zone ZONE RULES On entry Notify hospital front-desk Log arrival timestamp Dwell > 20 min Alert dispatcher Flag for review On exit Log departure, compute SLA + Add rule
Web · Geo-fence setup
Draw a zone, set entry / dwell / exit rules — SLA timers start automatically.
Driver app Rakesh Kumar · Amb-07 88 score This week Harsh braking2 Harsh accel5 Idle time42 min Avg speed38 km/h RANK #3 of 84 drivers View trip history Rolled up weeklyFeeds ops leaderboard
Android · Driver score
Speed, harsh events, idle-time rolled into one score — visible to the driver, feeding an ops leaderboard.
Adoption

Dispatchers, drivers and paramedics onboarded together

  • Dispatchers replaced phone-based check-ins with the live map — the biggest single behavioural change.
  • Drivers and paramedics adopted the mobile client for status updates and SOS.
  • Alerts were routed to supervisors on Slack / WhatsApp with severity-based cool-downs to prevent alert fatigue.
  • Customer-facing ETA links were rolled out to select fleets, replacing "he's on his way" phone calls.
Impact

Impact on the business

Measurable
Response times
Trustworthy
Customer ETAs
↓
Asset misuse
Auditable
Every trip & incident

Response times became measurable, ETAs became trustworthy, and asset misuse was caught early — critical especially in life-safety scenarios where visibility isn't a nice-to-have, it's the product.

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