The following web-based simulation modules cover fundamental topics in transportation engineering such as travel demand modelling, geometric design, traffic flow, and traffic signal control.
Modules
ABODE – Agent Based Model of Origin Destination Estimation
The agent based model matches origins and destinations using employment search methods at the individual level.
More >
ANGIE – Agent-based Network Growth model with Incremental Evolution
The Agent-based Network Growth model with Incremental Evolution (ANGIE) models the growth of road networks in several scenarios such as road networks in an artificial grid-like city and the Minneapolis Downtown Skyway network.
More >
CLUSTER – Clustered Locations of Urban Services, Transport, and Economic Resources
This model is an agent-based model of retail location choice on supply chains consisting of consumers, retailers, and suppliers.
More >
HSRDA -This model lets you build a corridor, test constraints, and compare defensible route options.
OASIS – Online Application for Signalized Intersection Simulation
The actuated signal control module was developed to help users better understand the control logic of an actuated signal controller.
More >
ROAD – Roadway Online Application for Design
This online roadway geometry design tool was developed to assist students conducting the geometric design of roadways on computer screen using a contour map in the background as reference.
More >
ROUTE: Route Optimization for Understanding Transportation Engineering
ROUTE is a hex-grid route design and cost comparison tool with connectivity checks and GMNS export/import.
More >
ULTIMO – Unified Land use–Transport–Investment Modelling Object
ULTIMO is the integrated STREET framework for loading GMNS networks, choosing model assemblies, running simulations, editing networks, and exporting diagnostics.
More >
ARCHIVED
ADAM – Agent-based Demand and Assignment Model
The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.
More >
ARCHIVED
MARC – Multi-Agent Route Choice Game
The Multi-Agent Route Choice (MARC) game is designed to engage students in the process of making route choice, so that they can visualize how traffic gradually reaches a user equilibrium (UE).
More >
ARCHIVED
SAND – Simulation and Analysis of Network Design
Simulator and Analyst of Network Design (SAND) was developed to enhance the understanding of transportation planning and network design in a classroom environment.
More >
ARCHIVED
ARCHIVED
SONG – Simulation of Network Growth
SONG is a simulator designed for simulating the process of transportation network growth.
More >
This project was originally funded by NSF through the University of Minnesota STREET project, led by Henry X. Liu with David M. Levinson as co-investigator. Please cite: Liao, C.-F., Liu, H. X., & 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. The software modules and supporting website have been preserved, updated, and migrated over time to maintain access for teaching and learning.