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4k's Introduction

Big picture

  • Currently running rails v2.0.2.
  • CMS built on Radiant CMS.
  • Deploys to BlueBox using capistrano.

Notes

  • In production the app runs with apache/passenger. Apache redirects can be defined in /sites/psrc-production/shared/htaccess. This file is symlinked to the public dir (which is the apache root) on cap deploy.

4k's People

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angelaqyang avatar bricegnichols avatar chelmann avatar ennazus avatar kriso67 avatar stefancoe avatar

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bstabler

4k's Issues

reduce file storage size

re-dimension databanks
remove duplication in banks
use temporary matrices for mode choice and distribution calculations

test revised assignment convergence criteria

Currently all assignments close to a best relative gap of 0.01%. This adds significant running time to the model. We want to test various options and compare run and results. Two options are:

Iterations 1,2: Best Relative Gap = 0.05%
Remaining Iterations: Best Relative Gap = 0.01%

Iterations 1,2: Best Relative Gap = 0.03%
Remaining Iterations: Best Relative Gap = 0.01%

reduce file storage size

re-dimension databanks
remove duplication in banks
use temporary matrices for mode choice and distribution calculations

run from a master control file

put inputs in a standard location on server

flags could include:

  1. saving matrices for running bca
  2. start with survey trip tables or 0 demand

am transit boardings are high

Total AM boardings are 211k, counts show 124k. Need to look at Transit time of day factors, overall transit mode shares match survey fairly well.

calibrate regional vmt for 2014

-- Start by adjusting trip lengths to better match regional vmt
-- Look into mode choice estimation now that model skims are stabilized to lower transit share
-- Adjust trip rates as the last resort

cap maximum skim values

Remove values that are extreme to avoid divide by zero errors (which Emme writes but does not stop the model run). Use same cap as SoundCast.

Get separate totals for trucks, externals, and supplementals

In the person trip table, we were having trouble comparing all the datasets. For 4k, we need to find total person trips without trucks, externals, and supplementals. Also from 4k, we'd like to know the number of external and supplemental trips. We can get that by running 4k without externals/supplementals/trucks and subtracting from the overall total.

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