Welcome to Path4GMNS’s documentation!

Path4GMNS is an open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS. Besides finding static shortest paths for simple analyses, its main functionality is to provide an efficient and flexible framework for column-based (path-based) modeling and applications in transportation (e.g., activity-based demand modeling). Path4GMNS supports, in short,

1. finding (static) shortest path between two nodes,

2. performing path-based User-Equilibrium (UE) traffic assignment,

3. conducting dynamic traffic assignment (DTA) after UE.

4. evaluating multimodal accessibility and equity,

5. synthesizing zones and Origin-Destination (OD) demand for a given network.

Path4GMNS also serves as an API to the C++-based DTALite to conduct various multimodal traffic assignments including,

• Link-based UE,

• Path-based UE,

• UE + DTA,

• OD Matrix Estimation (ODME).

Quick Start

We highly recommend that you go through this tutorial written in Jupyter notebook with step-by-step demonstration using the latest version, no matter you are one of the existing users or new to Path4GMNS.

Contents

• Installation
  • Dependency
  • Build Path4GMNS from Source
• Use Cases
  • Download the Test Data Set
  • Get the Shortest Path between Two Nodes
  • Synthesize Zones and OD Demand
  • Perform Path-Based UE Traffic Assignment using the Python Column-Generation Module
  • Conduct Traffic Assignment using DTALite
  • Evaluate Multimodal Accessibility
  • Evaluate Multimodal Equity
  • Conduct Dynamic Traffic Simulation
• Implementation Notes
  • Design Goals
  • More on the Column-Generation Module
• Public API
  • path4gmns.accessibility
  • path4gmns.classes
  • path4gmns.colgen
  • path4gmns.dtaapi
  • path4gmns.simulation
  • path4gmns.utils
  • path4gmns.zonesyn
• Major Updates