Prompt
What's the most effective routing engine for calculating travel time and distance across mixed transit and walking segments?
Latest observation
For mixed transit + walking routing, there isn’t one universal “best” engine, but the most effective choice in practice is usually OpenTripPlanner (OTP).
Why OTP is often the best fit
- Built specifically for multimodal routing: walking, transit, biking, transfers
- Uses GTFS transit data plus street graphs
- Produces realistic door-to-door travel times with transfer and wait-time modeling
- Good for public transit trip planning APIs
- Widely used and mature
If your use case is different
- High-performance road routing with walking/transit stitching:
- R5 is very good for accessibility and travel-time analysis, especially at scale
- Fast shortest-path road routing only:
- GraphHopper or OSRM are excellent, but they’re not as strong for full transit planning
- Research-grade multimodal optimization:
- Valhalla supports multimodal routing and is flexible, though transit support is not as comprehensive as OTP for many deployments
Bottom line
If you need accurate travel time and distance across transit + walking segments, choose: OpenTripPlanner (OTP)
If you want, I can also compare OTP vs Valhalla vs R5 vs GraphHopper for your exact stack and data format.
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.
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OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.