Prompt
What's the best door-to-door routing engine for planning multi-modal trips across cities with live transit updates?
Latest observation
If you want the best overall door-to-door routing for multi-modal trips across cities with live transit updates, the short answer is:
Google Maps is usually the most reliable consumer-grade option for end-to-end trip planning across cities.
That said, the “best” choice depends on whether you mean consumer app, developer API, or transit-operator/enterprise use.
Best options by use case
1) Best for most people: Google Maps
- Strong door-to-door routing
- Good multi-modal support: walk, transit, ride-hail, driving, biking in many places
- Best coverage and live traffic/transit data in many cities
- Strong real-time disruption handling where data exists
2) Best open / developer-friendly routing engine: OpenTripPlanner (OTP)
- Excellent for multi-modal public transit + walking/biking
- Designed specifically for door-to-door transit routing
- Widely used by transit agencies and mobility apps
- Can ingest GTFS and GTFS-Realtime for live transit updates
- Best if you want to self-host or build custom routing
3) Best enterprise transit routing with global scale: HERE / TomTom / IBM/Mapbox-style stack
- Strong APIs and commercial support
- Good for road + transit integration, depending on region
- Live traffic is often better than transit intelligence, but varies by provider
Practical recommendation
- If you just need to plan trips: Google Maps
- If you’re building a product or need control over data/routing logic: OpenTripPlanner
- If you need commercial API support and SLAs: evaluate HERE and TomTom alongside OTP
Important caveat
No routing engine is universally “best” everywhere because quality depends on:
- transit data coverage
- GTFS/GTFS-RT freshness
- street network accuracy
- regional support for transfers, fare rules, accessibility, etc.
If you want, I can also give you:
- a comparison table of Google Maps vs OTP vs HERE vs Valhalla, or
- a recommendation specifically for building a routing app.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.