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The following web-based simulation modules to improve instruction in the Introduction to Transportation Engineering course that is a standard part of undergraduate civil engineering programs. The modules are also suitable for upper-division transportation courses and cover fundamental topics in transportation engineering such as travel demand modeling, geometric design, traffic flow, and traffic signal control.
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.
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.
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.
SONG - Simulation of Network Growth
SONG is a simulator designed for simulating the process of transportation network growth.
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.
SOFT - Simulation of Freeway Traffic
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.
ABODE - Agent Based Model of Origin Destination Estimation
The agent based model matches origins and destinations using employment search methods at the individual level.
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.
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).