Git Product home page Git Product logo

soundcast's Introduction

SoundCast: the PSRC Activity-Based Model

SoundCast is a travel demand model system built for the Puget Sound Region. The model depicts diverse human travel behavior and includes travel sensitivity to land use and the built environment.

Read the User's Guide to learn how to install and run Soundcast.

Download official code releases and inputs.

The most current official release is v3.0.1_RTP, which is being used for RTP 2050 analysis.

soundcast's People

Contributors

angelaqyang avatar billyc avatar bricegnichols avatar ennazus avatar joanneylin avatar stefancoe avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

soundcast's Issues

create summary (daily) emme project

From @bricegnichols on November 13, 2014 1:19

Might be useful to have total daily model results in a single project. We could generate our overall maps and worksheets from here and optionally provide detailed TOD results as needed.

Copied from original issue: #196

Choose a license, and add copyright text to every source file

From @billyc on November 26, 2014 18:31

All open source code needs a license and copyright attribution. We should:

  1. Decide on a license. I suggest Apache
  2. Grab generic copyright boilerplate and assign all copyright to PSRC.
  3. Paste that copyright notice into every single source file.

Copied from original issue: #208

Look into using HERE data for travel time validation

From @Ennazus on September 23, 2014 17:31

We could take a look at the NPMRDS HERE data, which is link level travel time data. Gary Simonson approached us a while back about how we might use this data and I ended up spending a little time on it. You start with a month’s worth of data and then whittle it down to the days/time periods of interest and calculate link level speeds. Of course the network does not match ours, but it would be pretty easy to create a crosswalk for a subset of the data. It seems like good (and free) speed data is hard to come by and could be a nice complement to counts.

-Stefan

The documentation here is terrible and I think Gary has some better stuff. I have already pinged him….Also, it’s not just freight datat as the link suggests.

http://www.ops.fhwa.dot.gov/freight/freight_analysis/perform_meas/vpds/npmrdsfaqs.htm

Copied from original issue: #171

Military Modeling

From @Ennazus on October 2, 2014 17:33

Short term solution: factor enlisted jobs;
Longer term: Remove military personnel from synthetic population; maybe make JBLM an external and distribute trips based on data;
Look into what San Diego and Other places with ABMs and large military bases

Copied from original issue: #175

input_configuration.py in beta 2 missing a few critical lines of code

From @bricegnichols on November 7, 2014 18:4

I moved a couple hard codes from the generation script that never made their way into the final input_configuration script. This should be all we need:

Special generator zones and demand (dictionary key is TAZ, value is demand)

spg_general = {3110: 1682,
631: 7567,
438: 14013}
spg_airport = {983: 101838}

Copied from original issue: #193

supplementals require initial skims

From @bricegnichols on November 7, 2014 19:44

Currently, supplemental trips depend on a set of local skims. The only time this is an issue is if we create a new repo and run supplemental trips only (without first doing some skimming with seed trips). We need to either try/catch this problem or redirect to use seed skims.

Copied from original issue: #194

Accessibility to Jobs Mapping

From @Ennazus on November 3, 2014 16:13

Our transportation friends are very interested in a measure like this.
It will be fairly easy to produce, but maybe not theoretically strong.

Copied from original issue: #189

Toll Before and After test

From @Ennazus on June 11, 2014 17:58

Do a run with and without tolls on:

  1. Tacoma Narrows
  2. 520

Observe- change in toll volumes on both links
Compare to actual before -after's (Kris O says he can get the data)

Copied from original issue: #120

manage the supplemental trips module input changes

From @Ennazus on September 16, 2014 18:11

o How are we going to manage this module extension for (1) future-year scenarios and (2) base year re-estimation? I think future-year scenarios are easy enough to handle if we assume something simple like growth rates, which is how externals are usually handled. Maybe this can be part of a more complex visitor model that we eventually estimate.

Copied from original issue: #166

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.