activitysim

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@e-lo Augment documentation of model steps to include: - Key inputs, required fields, expected formats, and required fields - What settings and parameters files it uses - Where it fits...

bstabler

@e-lo - Roll CDAP into /default folder - Add documentation to tops of files - Explore renaming and recategorizing misc.py - Refile nested logit helper functions - Put util functions...

bstabler

Export activity list

2

Currently, activitysim only exports a list of trips, `final_trips.csv` | trip_id| person_id| household_id| tour_id|primary_purpose | trip_num|outbound | trip_count|purpose | destination| origin| depart|trip_mode | |-------:|---------:|------------:|-------:|:---------------|--------:|:--------|----------:|:--------|-----------:|------:|------:|:---------| | 8684833| 26478| 26478| 1085604|eatout |...

gregmacfarlane

Currently both [core/input.py](https://github.com/RSGInc/activitysim/blob/develop/activitysim/core/input.py#L100) and [models/initialize.py](https://github.com/RSGInc/activitysim/blob/develop/activitysim/abm/models/initialize.py#L63) perform pipeline table column renames during the input/initialize steps. We can remove this from initialize.py and remove the `column_map` option from the [various annotation yamls](https://github.com/RSGInc/activitysim/blob/develop/example/configs/initialize_households.yaml).

blakerosenthal

As we consider future scenarios around CVs / AVs / EVs we might want to input given household and person characteristics as inputs and overwrite the "intelligence" in activitysim for...

bettinardi

improve shadow pricing configuration

1

We currently have two similar, but slightly different, approaches to shadow pricing. The "ctramp" approach from MTC TM1 and the "daysim" approach from DaySim. They are similar, but once the...

bstabler

add an option to use max absolute value as shadow pricing convergence criteria

1

In many regions, job centers are concentrated in a few areas. Zones in these areas tend to have large employment. A max percentage-based convergence criteria doesn't prevent possible large absolute...

wusun2

For example, tour category school + person type results in different tour primary purposes --> K-8, high school, university. It would probably be better to only use tour primary purpose...

bstabler

add self-calibration routines

2

@guyrousseau - For instance in mode choice, a sub-routine could be added in the source code that allows the user to enter calibration target values, and the program could adjust...

bstabler

pipeline store doesn't handle factors

1

Performance (and perhaps memory) suffers for very large datasets when strings could be factors. This requires some thought as currently pipeline store doesn't handle factors (just numeric and string types).

bstabler