The Argus Platform

Universal Traffic Intelligence
Infrastructure

Every traffic data source speaks a different language. We translate chaos into clarity with a universal ontology that works with any routing engine.

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The Problem

Traffic Data is a Fragmented Mess

Your engineering team spends months building custom parsers that break when APIs change. Here's what you're dealing with:

Proprietary Formats

TomTom uses numeric severity codes. HERE wraps everything in XML chaos. Waze reports "moderate traffic" (meaningless). 511 feeds vary by state.

Result: Custom parsers for every source

Crowdsource Lag

Waze and Google Maps rely on user reports. By the time enough drivers report an incident, 10-15 minutes have passed and thousands are stuck.

Result: Alerts arrive after the traffic jam

Vendor Lock-In

You're trapped in pricing and contracts. Your engineering and solutions become rigid. When they raise prices, you pay or rebuild everything.

Result: No flexibility, no negotiating power

Innovation Dead End

New data sources emerge—dashcams, computer vision, connected vehicles. Your architecture is too brittle to plug them in without rewriting your stack.

Result: Stuck with yesterday's technology

The Solution

The Argus Traffic Data Ontology

One universal format. Any data source. Plug-and-play with any routing engine.

Any Input

TomTom API
HERE Traffic
Waze Feed
511 / DOT Data
INRIX
Argus CV Detection

Argus Ontology Engine

Semantic translation + fusion

One Output

Standardized Schema
Semantic Enrichment
Conflict Resolution
Routing-Ready Format

Works with Valhalla, OSRM, GraphHopper, or custom engines

1

Universal Ingestion

We consume any traffic format—REST APIs, XML feeds, webhooks, streaming data.

2

Semantic Translation

AI-powered schema mapping converts any format to Argus ontology without custom code.

3

Intelligent Fusion

Deduplicate incidents across sources. Merge complementary data. Resolve conflicts with confidence scoring.

4

Routing Optimization

Output adapters for Valhalla, OSRM, GraphHopper, or your custom routing engine.

Why It Matters

Speed Isn't Enough. You Need Context.

Traditional traffic APIs tell you "incident detected." That's useless. Is it a fender bender or a multi-car pileup? One lane or all lanes? 10 minutes to clear or 2 hours?

The Argus ontology gives you actionable intelligence:

Actionable — Severity, duration estimate, lane impact
Contextual — Weather, road type, vehicle restrictions
Temporal — Detected → Active → Clearing → Resolved
Semantic — "Multi-car pileup" = different routing decision than "debris"
Argus Ontology Schema
{
  "incident_id": "ARG_LA_405N_001",
  "detected_at": "2025-01-15T14:47:00Z",
  "classification": {
    "type": "collision",
    "subtype": "multi_vehicle",
    "severity": "major",
    "confidence": 0.94
  },
  "impact": {
    "lanes_affected": 3,
    "lane_total": 4,
    "emergency_response": true,
    "clearance_estimate_min": 60
  },
  "location": {
    "lat": 34.0522,
    "lon": -118.2437,
    "road": "I-405N",
    "direction": "northbound"
  },
  "routing_recommendation": {
    "action": "hard_avoid",
    "radius_miles": 5.0,
    "vehicle_restrictions": ["truck"],
    "expires_at": "2025-01-15T15:47:00Z"
  },
  "sources": [
    {"provider": "argus_cv", "confidence": 0.94},
    {"provider": "tomtom", "confidence": 0.78}
  ]
}
The Difference

Traditional APIs vs. Argus Ontology

Traditional APIs
Argus
Output Format
"Incident detected"
"MAJOR collision, 3 lanes blocked, 60min estimate, hard avoid for trucks"
Detection Speed
5-15 minutes
<10 seconds
Data Sources
Single provider
Multi-source fusion
Vendor Lock-In
Proprietary format
Swap sources anytime
Routing Ready
Custom parsing required
Plug-and-play adapters
Use Cases

Built for Developers, Fleets, and Platforms

Routing Engines

Stop writing custom parsers for every traffic API. One integration, any data source. Works with Valhalla, OSRM, and GraphHopper.

Fleet Management

Give drivers incident context: "Major accident ahead, 45min delay, rerouting." Reduce idle time and fuel costs.

Autonomous Vehicles

Machine-readable incident classification for decision-making systems. Semantic data your AV stack can understand.

Smart Cities

Publish incidents in a standard format that any navigation app can consume. Enable interoperability across platforms.

Mobility Platforms

Merge traffic data from multiple providers without vendor lock-in. Future-proof your architecture.

Navigation Apps

Fastest incident data available. The app that reroutes users first wins their trust.

Integration

Three Ways to Integrate

Option 1

Ontology API

Easiest

Send us your traffic data, we return Argus ontology format. Perfect for quick integrations.

curl -X POST https://api.getargus.ai/v1/translate \ -H "Authorization: Bearer YOUR_KEY" \ -d '{"source": "tomtom", "data": {...}}'
Option 2

Data Pipeline

Most Popular

We ingest your sources (TomTom, HERE, 511), merge with Argus CV detection, return unified feed.

  • Bring your own API keys
  • Multi-source fusion
  • Real-time streaming
Option 3

Self-Hosted

Enterprise

Deploy Argus ontology engine in your infrastructure. Full control, your data never leaves.

  • On-premise deployment
  • Custom ontology extensions
  • Dedicated support

Ready to Simplify Your Traffic Integration?

Stop building custom parsers. Start shipping features.

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Learn More

Development

Why Traditional Traffic APIs Slow Down Development

Analysis

Why Crowdsourced Traffic Data Is Always 15 Minutes Late

Strategy

The Hidden Cost of Traffic API Vendor Lock-In

Architecture

Why Your Traffic Integration Can't Keep Up With Innovation