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Best Traffic APIs for Developers 2025: Latency Matters More Than You Think

When your navigation app shows a crash 10 minutes after it happened, users are already stuck. Here's how the major traffic APIs compare on what matters: detection speed.

January 9, 202512 min read

Building a navigation app? Routing platform? Fleet management system? Your choice of traffic API will determine whether your users avoid traffic jams or sit in them.

We benchmarked the major traffic APIs on incident detection latency—the time between when an incident occurs and when it appears in the API. The differences are significant.

The Latency Problem Nobody Talks About

Most traffic API marketing focuses on coverage and features. But here's what they don't tell you: incident detection latency varies by 10x or morebetween providers.

Incident Detection Latency (Our Testing):

Argus AI
<10 sec
INRIX
~6 min
HERE
~8 min
Google Maps
~12 min
TomTom
~16 min

Why the huge differences? It comes down to data sources:

  • Crowdsourced (Waze, Google): Wait for users to report → 10-15 min latency
  • Probe data (TomTom, HERE): Detect speed changes → 5-10 min latency
  • Computer vision (Argus AI): Watch traffic cameras with AI → <10 sec latency

Traffic API Comparison Table

APILatencyCoverageFormatBest For
Argus AI API<10 seconds50+ US metrosREST/JSONApps needing fastest possible incident alerts
Google Maps Platform10-15 minutesGlobalREST/JSONApps needing global coverage over speed
HERE Traffic API5-10 minutesGlobalREST/JSON/XMLEnterprise fleet applications
TomTom Traffic API~16 minutesGlobalREST/JSONBudget-conscious projects with map needs
INRIX Traffic~6 minutesGlobalREST/XMLLarge enterprises with big budgets

Detailed API Reviews

Argus AI API

FASTEST
Latency: <10 seconds
Coverage: 50+ US metros
Pricing: Usage-based

Pros:

  • Fastest incident detection
  • Simple REST API
  • Real-time webhooks

Cons:

  • US-only coverage currently

Google Maps Platform

Latency: 10-15 minutes
Coverage: Global
Pricing: $5-10 per 1000 requests

Pros:

  • Global coverage
  • Well-documented
  • Familiar to developers

Cons:

  • Slow incident detection
  • Expensive at scale
  • Rate limited

HERE Traffic API

Latency: 5-10 minutes
Coverage: Global
Pricing: Tiered plans

Pros:

  • Good international coverage
  • Multiple data formats
  • Fleet-focused features

Cons:

  • Complex pricing
  • Slower than real-time
  • Heavy SDK

TomTom Traffic API

Latency: ~16 minutes
Coverage: Global
Pricing: Freemium + paid tiers

Pros:

  • Free tier available
  • Good documentation
  • Map tiles included

Cons:

  • Slowest incident detection
  • Vendor lock-in
  • Limited free tier

INRIX Traffic

Latency: ~6 minutes
Coverage: Global
Pricing: Enterprise

Pros:

  • Comprehensive data
  • Parking data
  • Historical analytics

Cons:

  • Enterprise pricing only
  • XML-heavy
  • Complex integration

Why Argus AI Detects Incidents Faster

Traditional traffic APIs rely on one of two approaches:

Crowdsourced Reports

Wait for a driver to see the incident, open the app, and tap "report." Then wait for other users to confirm. Minimum 10-15 minutes.

Probe Data Analysis

Detect when GPS speeds drop. Requires enough vehicles to slow down first, plus processing time. Usually 5-10 minutes.

Argus AI uses computer vision on traffic cameras. Our AI watches 40,000+ DOT cameras 24/7, detecting incidents the moment they happen—not when drivers report them or speeds change.

Integration Example

Here's how simple it is to get real-time incident alerts with Argus AI:

// Subscribe to real-time incidents via webhook
POST /api/v1/webhooks
{
  "url": "https://yourapp.com/incidents",
  "events": ["incident.detected", "incident.cleared"],
  "area": {
    "lat": 40.7128,
    "lng": -74.0060,
    "radius_miles": 50
  }
}

// Or poll for incidents
GET /api/v1/incidents?lat=40.7128&lng=-74.0060&radius=50

// Response
{
  "incidents": [
    {
      "id": "inc_abc123",
      "type": "crash",
      "severity": "major",
      "lat": 40.7589,
      "lng": -73.9851,
      "detected_at": "2025-01-09T14:32:08Z",
      "description": "Multi-vehicle crash, right lane blocked",
      "estimated_clear": "2025-01-09T15:30:00Z"
    }
  ]
}
Sub-10 Second Detection

Build with the Fastest Traffic API

Add real-time incident detection to your app in minutes. Simple REST API, webhook support, and comprehensive documentation.

View API Documentation

Frequently Asked Questions

What is the best free traffic API?

TomTom offers a generous free tier for development and small-scale projects. However, free APIs typically have higher latency and rate limits. For production applications where speed matters, a paid API like Argus AI is worth the investment.

How does Argus AI compare to Google Maps Traffic API?

Google Maps detects incidents 10-15 minutes after they occur (crowdsourced). Argus AI detects incidents in under 10 seconds (computer vision on cameras). Google has global coverage; Argus AI currently covers 50+ US metros.

Can I use multiple traffic APIs together?

Yes, many developers use Argus AI for fast incident detection alongside another provider for traffic flow data or international coverage. Our API is designed to complement existing traffic data sources.

What incident types does Argus AI detect?

Argus AI detects crashes, slowdowns, stalled vehicles, road debris, construction zones, and other hazards visible on traffic cameras. Our computer vision models are trained specifically for traffic incident detection.

Ready to Add Real-Time Traffic Intelligence?

Get started with Argus AI's traffic API. Free tier available for development.