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
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,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.