ULTIMO: Unified Land use--Transport--Investment Modeling Object
ULTIMO is the integrated STREET framework for loading GMNS networks, choosing model assemblies, running simulations, editing networks, and exporting diagnostics.
Quick Start
- Choose an assembly, such as ADAM or SAND.
- Load GMNS node.csv and link.csv files, or use a built-in dataset if available.
- Set model parameters in the active stage panels.
- Click Run Simulation.
- Use the map, report, diagnostics, and export panels to inspect results.
- Use Direct Edit when you need to add nodes, add links, close links, or save edited networks.
Example Uses
- ADAM baseline: load the Sioux Falls sample and run the ADAM assembly.
- SAND comparison: load a grid sample and compare assignment settings.
- Network editing: close a link by setting lanes or capacity to 0, then save edited node/link CSVs.
Things To Notice
- ADAM, SAND, and SONG are represented inside ULTIMO rather than as separate public modules.
- Large network runs may take longer in the browser; keep an eye on the status window.
References
- Zhu, S., Xie, F., and Levinson, D. (2011). Enhancing Transportation Education through Online Simulation Using an Agent-Based Demand and Assignment Model. Journal of Professional Issues in Engineering Education and Practice. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000038
- Levinson, D., and Yerra, B. (2006). Self-Organization of Surface Transportation Networks. Transportation Science, 40(2), 179-188. https://doi.org/10.1287/trsc.1050.0132
- Levinson, D., Xie, F., and Zhu, S. (2006-2007). Co-evolution of land use and road networks / SIGNAL conference materials, as represented in the ULTIMO paper-replication matrix.
- 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