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Aquidneck Island Transport Model

A model for simulating multi-modal transportation networks on Aquidneck Island.

About the Model

The Aquidneck Island Transport Model is a transportation microsimulation model of Aquidneck Island built using SUMO. It is capable of simulating cars, buses, bikes, pedestrians, and many other modes of transportation to study how traffic flows on the local transportation network.

The full Aquidneck Island Transport Model network

This model is a community built and maintained tool for understanding the local transportation network to help develop meaningful recommendations for changes and to provide a validated point of comparison with other public and private traffic analyses. It is open source and open data released under the CC BY-SA-4.0 license for use by anyone studying transportation on Aquidneck Island.

Network Model

The network model represents the roads, sidewalks, and bike paths on Aquidneck Island out to just beyond the bridges. It includes traffic signals and is capable of simulating parking. The network model is built from OpenStreetMap data and local surveys to capture the unique features of the local streets:

Demand Model

The Aquidneck Island Transport Model includes a baseline set of traffic scenarios generated from the Rhode Island Statewide Model and calibrated against RIDOT traffic counts. Additional scenarios can be added easily using the tools included with the SUMO software. Because the model is capable of simulating multiple travel modes, it can be model trips by individual people from an origin to a destination using any types of transportation available.

Use Cases

The Aquidneck Island Transport Model is a general model that is intended to be tailored to study specific issues before any changes are made on the street network. It can be used as a point of comparison with studies conducted by governments and private organizations to check their assumptions, and it can be used by planners as additional data in a project study. Here are just a few examples of questions the model could be used to answer:

Traffic Pattern Changes
Human-Friendly Network
Parking Policy
Traffic Signal Optimization
Vehicle Restrictions
Special Events and Emergency Planning