- Introduction
- Pymetropolis
- 1. Getting started
- 2. Concepts
- 2.1. Glossary
- 2.2. Modes
- 2.3. Departure time
- 2.4. Simulation convergence
- 2.5. Modeling congestion
- 3. Case studies
- 3.1. Bottleneck (Toy model) 🛣️
- 3.2. Circular City (Toy model) 🛞
- 3.3. Chambéry, France 🇫🇷
- 4. References
- 4.1. Steps
- 4.2. Parameters
- 4.3. MetroFiles
- 5. Extending Pymetropolis
- Metropolis-Core
- 6. Getting Started
- 6.1. Glossary
- 6.2. Input
- 6.2.1. Parameters
- 6.2.2. Agents
- 6.2.3. Road network
- 6.3. Running
- 6.4. Output
- 6.4.1. Iteration Results
- 6.4.2. Population Results
- 6.4.3. Road-Network Conditions
- 7. Advanced topics
- 7.1. Inverse transform sampling Logit or simulated Logit
- 7.2. Parallel edges
- 7.3. Simulating road tolls
- 8. Theoretical Foundations
- 9. Implementation Details
- 9.1. Supply side
- 9.1.1. Travel-time functions
- 9.1.2. Simulating trips
- 9.1.3. Congestion and spillback modeling
- 9.2. Demand side
- 10. Tools
- 10.1. Routing queries
- Contributors