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Project Meeting 2018.09.20
- NTP issued so getting started on task 2 - Multi-Processing
- Multi-processing research going well and approach should work nicely
- @Ben/Jeff to draft approach - Multi-Processing
- TRB Planning Applications abstracts?
- TMIP peer review?
- TRB get together?
Topic: Travel Demand Modeling Validation, Application, and Analysis
Description of Session
The proposed tutorial will provide an introduction to ActivitySim 1.0, the first release of an advanced, open-source, activity-based travel behavior modeling software based on best software development practices, and available for distribution at no charge to public agencies, and to the public at large.
The ActivitySim project is led by a consortium of Metropolitan Planning Organizations (MPOs) and other transportation planning agencies, which provides technical direction and resources to support project development. New member agencies are welcome to join the consortium. All member agencies help make decisions about development priorities and benefit from contributions of other agency partners. The Association of Metropolitan Transportation Organizations (AMPO) facilitates this consortium.
Participants will be introduced to the overall ActivitySim 1.0 model components, inputs, outputs, and sensitivities. Participants will review data requirements, including network performance data, and will run sensitivity tests on an example data set. By the end of the tutorial, participants will understand ActivitySim capabilities and requirements for local implementation.
List of Proposed Participants
Joe Castiglione, San Francisco County Transportation Authority
Ben Stabler, Resource Systems Group
Bill Keyrouze, Association of Metropolitan Planning Organizations`
Jeff Doyle, Resource Systems Group
Guy Rousseau, Atlanta Regional Council
Wu Sun, San Diego Association of Governments
Lisa Zorn, Metropolitan Transportation Commission
Stefan Coe, Puget Sound Regional Council
Jilan Chen, South Eastern Michigan Council of Governments
Target Audience
Anyone who uses travel demand forecast models.