Ferrobus 0.2.1

High-performance multimodal routing library for geospatial analysis workflows. Built with a Rust core and providing a straightforward Python interface.

Unlike alternatives such as R5 or OpenTripPlanner, Ferrobus doesn’t require Java and installs without external dependencies.

Core routing functionality is based on RAPTOR (Round-based Public Transit Optimized Router) algorithm developed by Microsoft Research. For details, see Microsoft’s research paper.

Functionality

• Multimodal Routing: Find optimal paths combining walking and public transit

• Detailed Journey Information: Get complete trip details including transit legs, walking segments, and transfers

• Isochrone Generation: Create travel-time polygons to visualize accessibility

• Travel Time Matrices: Compute travel times between multiple origin-destination pairs

• Batch Processing: Process multiple routes or isochrones efficiently with parallel execution

• Time-Range Routing: Find journeys across a range of departure times

• Pareto-Optimal Routes: Discover multiple optimal routes with different trade-offs

Contents:

• Getting Started
  • Installation
  • Quick Usage
• API Documentation
  • Examples
  • API Reference
  • Classes
• Tutorial
  • Setup
  • 1. Creating a Transit Model
  • 2. Creating Transit Points
  • 3. Finding Routes
  • 4. Detailed Journey Visualization
  • 5. Travel Time Matrix
  • 6. Isochrones

License

This package is open source and licensed under the MIT OR Apache-2.0 license. OpenStreetMap’s open data license requires that derivative works provide proper attribution. For more details, see the OpenStreetMap copyright page.