ANGIE: Agent-based Network Growth model with Incremental Evolution
ANGIE simulates incremental road or walkway network growth in grid-city examples and the Minneapolis skyway case.
Quick Start
- Choose a model scenario, such as a grid city or Minneapolis skyway workflow.
- Optional: enter a Random seed for a reproducible run.
- Click Setup to initialize the network.
- Click Start for continuous growth, or use Node/Round step controls for slower inspection.
- Use Export Node GMNS and Export Link GMNS to save the resulting network.
Example Uses
- Grid growth: compare one-center and four-center grid settings while keeping the same random seed.
- Minneapolis baseline: click Apply Journal Defaults, then Load Minneapolis Article Baseline and run the model.
- Seeded network: load the Minneapolis skyway GMNS files from the samples zip and compare coverage.
Things To Notice
- Node-only GMNS load is best for growth-from-demand experiments.
- Node plus link GMNS load is useful when continuing from an existing network.
References
- Levinson, D., and Huang, A. (2012). A positive theory of network connectivity. Environment and Planning B: Planning and Design, 39(2), 308-325. https://doi.org/10.1068/b37094
- Huang, A., and Levinson, D. M. (2013). The structure and evolution of a skyway network. The European Physical Journal Special Topics, 215(1), 123-134. https://doi.org/10.1140/epjst/e2013-01719-1
- Liao, C.-F., Liu, H. X., and Levinson, D. M. (2009). Simulating Transportation for Realistic Engineering Education and Training: Engaging Undergraduate Students in Transportation Studies. Transportation Research Record, 2109, 12-21. https://doi.org/10.3141/2109-02
- Original STREET project: Simulating Transportation for Realistic Engineering Education and Training, University of Minnesota legacy project site. http://street.umn.edu